53 Llvm Jobs

About Blaize Blaize provides a full-stack programmable processor architecture suite and low-code/no-code software platform that enables AI processing solutions for high-performance computing at the edge and in the data center. Blaize delivers real-time insights at low power, high efficiency, and minimal cost—driving next-gen AI adoption across industrial, automotive, and smart infrastructure markets. With $330M+ raised from investors including DENSO, Mercedes-Benz AG, Samsung, and Franklin Templeton, Blaize is a global team headquartered in California with branches in India, the UK, Middle East—and now growing its strategic presence in East Asia. JOB DESCRPTION: We are seeking a highly skilled ML Graph Compiler Engineer to join our team. The ideal candidate will have a strong background in C++ and experience in developing and optimizing graph compilers for machine learning models. You will work closely with our hardware and software teams to enhance the performance and efficiency of our ML frameworks, focusing on native parallel processing hardware and neural network optimizations JOB RESPONSIBLITIES Design, develop, and optimize graph compilers for machine learning models. Implement compiler optimizations such as operator fusion, memory management, and code generation. Develop and optimize kernels in Clang C++ (Clcpp) and assembly for neural networks. Collaborate with hardware engineers to integrate and optimize code for native parallel processing hardware. Analyze and improve the performance of ML models on Blaize hardware platforms. Maintain and extend existing compiler infrastructure. EDUCATION AND EXPERIENCE A bachelor’s/master’s degree in computer science 5+ years hands-on experience in software development REQUIRED KNOWLEDGE, SKILLS, AND ABILITIES Strong experience in C++ programming, including modern C++ standards (C++11/14/17). Hands on experience on Python Strong understanding of algorithms and data structures. Experience with debugging and profiling tools to analyze and optimize code performance. Hands on experience in any of the ML graph compiler framework. Experience in developing and optimizing kernels in Clang C++ (Clcpp) and assembly is a plus Knowledge of native parallel processing hardware architectures and optimization techniques is a plus MANDATORY SKILLS Experience on C/C++, Python, LLVM, OpenCLC++, ML framework SOFT SKILLS Strong analytical skills and ability to approach complex problems methodically Ability to work independently and collaborate effectively with the teams COMMUNICATION SKILLS Strong written and verbal communication skills Ability of explain complex technical concepts to non-technical stakeholders Blaize is an equal opportunity employer. We pride ourselves on having a diverse workforce and we do not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. We respect the gender, gender identity, and gender expression of our applicants and employees, and we honor requests for preferred pronouns. It is our policy to comply with all applicable national, state, and local laws pertaining to nondiscrimination and equal opportunity.

We are looking for experienced Systems SW Compiler Engineers for an exciting role in our PTX (Parallel Thread Execution) Compiler Development team. Join the PTX Compiler team and help drive PTX language design and PTX compiler evolution. PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX provides a stable programming model and portable instruction set Architecture (ISA) for NVIDIA GPUs and used by all Compute programming languages compiled to NVIDIA GPUs. PTX is also used as a compiler target by various non-NVIDIA compilers. Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose new GPU features in portable and performant ways in PTX ISA. PTX Compiler (PTXAS) apart from implementing PTX ISA is responsible for PTX Compiler Front End, interaction with optimizer and runtime aspects involving object files, debug information, linkers, loaders and Driver Compiler Interface. As a senior member of the team, you will be responsible for leading efforts to enhance PTX Compiler infrastructure to enhance it to support new compilation models for DL and Generative AI codes. You will be contributing towards evolving programming model for Generative AI and DL applications on GPUs. What You Will Be Doing Provide stewardship for PTX ISA and PTX Compiler infrastructure for Generative AI and DL. Collaborating with architecture and programming model teams to design and implement programming models for next generation GPUs. Working closely with others to help design compilation stack and strategies for AI and DL workloads. Collaborate closely with teams developing other related components to ensure compatibility, robustness and high-quality code generation. What We Need To See BS (or equivalent experience), MS or Ph.D. in Computer Science, Computer Engineering, or related fields. 4+ years of experience in the area of compiler front end, programming language designs, Compilers/Linkers. Superb analytical and C/C++ programming skills. Experience in any one area of compiler development including feature support, code generation and compiler infrastructure. Excellent and strong interactive, verbal and written communications skills. Understanding of any Processor ISA (GPU ISA a plus). Good track record of developing, driving and delivering software products. Ways To Stand Out From The Crowd Experience in Programming Languages design and drafting programming language standards. Knowledge of GPU development and compute APIs such as CUDA, and OpenCL. Development experience in LLVM IR, MLIR JR2000842

We are looking for an accomplished Engineering Manager to lead the PTX Compiler Team. Join the PTX Compiler team and help drive PTX language design and PTX compiler evolution. PTX enables all GPU Computing applications including Generative AI, ML/DL, HPC. PTX provides a stable programming model and portable instruction set Architecture (ISA) for NVIDIA GPUs and used by all Compute programming languages compiled to NVIDIA GPUs. PTX is also used as a compiler target by various non-NVIDIA compilers. You will lead a team that develops PTX ISA for new GPUs. Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose new GPU features in portable and performant ways in PTX ISA. You will be contributing towards evolving programming model for Generative AI and DL applications on GPUs. You will be solving challenging problems working alongside some of the top minds in GPU computing and systems software. See your leadership efforts in action as HPC and DL developers use PTX to program new GPUs. What You Will Be Doing You will provide administrative and technical direction to a team of 3-6 system software development engineers, including planning, scheduling and execution of projects and activities. Provide stewardship for PTX ISA and PTX Compiler infrastructure for Generative AI and DL. Coordinate cross functional development with rest of the compiler stack. Working with customers/partners to gather feedback and drive innovative ideas and features to incorporate into the product. Drive schedule execution and quality, software engineering practices. Recommend changes to policies and establish procedures that affect immediate organization. Communicate with senior management for team vision and development progress. Groom future engineering leaders and mentor junior engineers. What We Need To See BS or MS degree in Computer Science, Computer Engineering , or related fields with a minimum of 10 overall years of experience with 3 years as manager in the area of low level system SW development related to compiler, linkers, loaders, binary tools. Superb analytical and C/C++ programming skills Experience in any one area of compiler development including feature support, code generation and compiler infrastructure Excellent and strong interactive, verbal and written communications skills. Understanding of Assembly Language / Processor ISA (GPU ISA not mandatory but a plus) Good track record of developing, driving and delivering software products. Ways To Stand Out From The Crowd Experience in Programming Languages design and drafting programming language standards. Knowledge of GPU development and compute APIs such as CUDA, and OpenCL. Development experience in LLVM IR, MLIR JR2000826

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world We are currently in need of a highly skilled and motivated DevOps Engineer to join our Compiler Team at NVIDIA. This position provides a unique chance to work alongside a world-class engineering team passionate about building the next generation of compiler technologies. We enhance, maintain the build infrastructure and deliver new libraries, executables etc. for new compiler features to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to graphics workloads for AAA game titles on gaming platforms. Our compiler organization makes its mark on every GPU NVIDIA produces . What You'll Be Doing Develop and maintain robust CI/CD pipelines to ensure flawless integration and delivery of software. Collaborate with multi-functional teams to improve the efficiency and reliability of build systems. Monitor and optimize system and build performance, ensuring flawless operation Implement and manage containerization and orchestration tools like Docker and Kubernetes to streamline development workflows. Diagnose and resolve complex issues, ensuring the stability and performance of our environments. What We Need To See Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. 3+ years' work experience in software development or DevOps roles. Proven experience with GNU Make, CMake, Bazel, or similar build tools. Proficiency in Docker, Jenkins (Groovy), GitLab CI/CD, Artifactory, Ansible, and Kubernetes. Strong understanding of version control systems, including Perforce and Git. Expertise in scripting languages such as Python or Bash. Outstanding problem-solving skills and the ability to determine root causes and implement effective solutions. Strong communication skills and a collaborative team spirit. Prior experience of LLVM build would be advantage. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. JR1999332

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world We are currently in need of a highly skilled and motivated DevOps Engineer to join our Compiler Team at NVIDIA. This position provides a unique chance to work alongside a world-class engineering team passionate about building the next generation of compiler technologies. We enhance, maintain the build infrastructure and deliver new libraries, executables etc. for new compiler features to better realize the potential of NVIDIA GPUs for a growing range of computational workloads, ranging from deep learning, scientific computation, and self-driving cars to graphics workloads for AAA game titles on gaming platforms. Our compiler organization makes its mark on every GPU NVIDIA produces . What You'll Be Doing Develop and maintain robust CI/CD pipelines to ensure flawless integration and delivery of software. Collaborate with multi-functional teams to improve the efficiency and reliability of build systems. Monitor and optimize system and build performance, ensuring flawless operation Implement and manage containerization and orchestration tools like Docker and Kubernetes to streamline development workflows. Diagnose and resolve complex issues, ensuring the stability and performance of our environments. What We Need To See Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent experience. 3+ years' work experience in software development or DevOps roles. Proven experience with GNU Make, CMake, Bazel, or similar build tools. Proficiency in Docker, Jenkins (Groovy), GitLab CI/CD, Artifactory, Ansible, and Kubernetes. Strong understanding of version control systems, including Perforce and Git. Expertise in scripting languages such as Python or Bash. Outstanding problem-solving skills and the ability to determine root causes and implement effective solutions. Strong communication skills and a collaborative team spirit. Prior experience of LLVM build would be advantage. Widely considered to be one of the technology world’s most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. As you plan your future, see what we can offer to you and your family www.nvidiabenefits.com/ NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. JR1999332

ONNX implementation and optimization in AIX: Strong application developer with deep knowledge of compiler behaviour when implementing numerically intensive AI algorithms. Understanding how to vectorize and optimize and communicate the benefits and behaviour of the optimized code. Requires knowledge of algorithms used in mathematical modelling, simulation, machine learning, and particularly ONNX. Requires demonstrated experience implementing these algorithms in applications that require robustness and performance. The job will require an understanding of analysing performance and data handling issues such as efficient handling of endianness formats to achieve the best possible performance. This is to be accomplished using new algorithms, advanced processor features and leveraging the features through advanced compiler optimization features and libraries. Candidate will have broad awareness of how to implement algorithms to deliver performance gain and consistency of the applications requirement. Required skills Development experience with the numeric algorithms used in mathematical modelling, simulation, machine learning, and particularly ONNX Experience with C and C++ application programming using one or more of these compilers: GCC, XL C, ICC, CLANG/LLVM, AOCC Experience applying numeric algorithms into complex multi threaded multiprocessing applications in UNIX or Linux OS Experience debugging runtime and runtime issues in large scale projects Familiarity with Python based coding Familiarity Java Development Kit(JDK) and Java Virtual Machine (JVM) Preferred skills Open-source contributions, system programming, networking (distributed/parallel applications) Application performance optimization investigation & analysis using tools like valgrind, perf, Nectar, PMU, pipestat, nmon

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. Job Location: Hyderabad More Details Below: About the team: Join the growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of trained neural networks on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of devices around the world. Job Title: CMake Build System Engineer, Staff Job Summary: We are seeking a skilled and detail-oriented CMake Build System Engineer to join our team. In this role, you will be responsible for designing, maintaining, and optimizing CMake-based build systems for complex software projects that support cross-compilation, real-time operating systems (RTOS), and hardware-specific toolchains. You will work closely with developers, DevOps, and QA teams to ensure efficient and reliable builds across multiple platforms. Key Responsibilities: Design, implement, and maintain robust CMake build scripts for cross-platform software projects targeting microcontrollers and SoCs.. Maintain and improve build scripts, tools, and infrastructure - Refactor and modernize existing build systems to improve performance, maintainability, and scalability. Optimize build performance - Improve the speed and efficiency of the build process by optimizing CMake configurations and build strategies. Support cross-compilation workflows using custom toolchains and hardware abstraction layers. Integrate third-party libraries and manage dependencies using CMake best practices. Collaborate with development teams to support CI/CD pipelines and automate build processes. Troubleshoot and resolve build-related issues across various environments (Linux, Windows, macOS) and embedded platforms (ARM Cortex-M/R/A, RISC-V, etc.).. Ensure compatibility across various operating systems (Linux, Windows, macOS). Document build processes and provide training/support to other engineers as needed. Minimum Qualifications: Bachelor’s degree in engineering, Computer Science, or related field and 10+ years of Systems Engineering or related work experience. OR Master’s degree in engineering, Computer Science, or related field and 9+ years of Systems Engineering or related work experience. Required Qualifications: Strong experience with CMake in large-scale C++ or multi-language projects. Understanding of native build systems (like Make, Ninja) and how CMake interacts with them. Proficiency in C++, Python, or other scripting languages used in build automation. Solid understanding of software build systems, compilers, and linkers and embedded toolchains (e.g., GCC for ARM, IAR, Keil, Clang). Experience with cross-compilation, toolchains (e.g. GCC, LLVM), and multi-platform builds (x86, ARM, RISC-V etc). Familiarity with CI/CD tools such as Jenkins, GitHub Actions, GitLab CI, or similar. Knowledge of software development best practices, including version control, testing, and code review. Preferred Qualifications: Experience with conan, vcpkg, or other C++ package managers. Knowledge of embedded systems or real-time operating systems (RTOS). Familiarity with Docker and containerized build environments. Contributions to open-source CMake projects or tools. Soft Skills: Strong problem-solving and analytical skills. Excellent communication and collaboration abilities. Self-motivated and able to work independently or as part of a team. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3075194

Company Qualcomm India Private Limited Job Area Engineering Group, Engineering Group > Software Engineering General Summary As a Product Security Engineer focused on vulnerability research and exploit mitigation, you will play a critical role in securing software systems by identifying and mitigating vulnerabilities at both the source code and binary levels. This role is ideal for someone who is passionate about software security, has a deep understanding of C/C++ internals, and enjoys building and applying tools to uncover subtle flaws before attackers do. Your primary focus will be on analyzing C/C++ source code using static analysis techniques, both manual and automated, to detect memory safety issues, logic errors, and insecure coding patterns. You will work closely with development teams to integrate and fine-tune sanitizers (such as ASan, UBSan, and MSan) and other compiler-based instrumentation to proactively catch bugs during development and testing. In addition to source-level work, you will also analyze ARM binaries to identify vulnerabilities in compiled code, especially in cases where source is unavailable or incomplete. This includes reverse engineering, binary static analysis, and applying fuzzing techniques to validate findings and uncover additional issues. A key part of your role will involve evaluating and implementing exploit mitigation strategies (e.g., stack canaries, ASLR, DEP, CFI) and ensuring they are effectively deployed across the software stack. You will also monitor external security incidents (e.g., CVEs, threat reports, zero-days) to identify detection gaps in current tooling and processes, and work to close those gaps through improved analysis, tooling, and secure coding guidance. This is a hands-on, engineering-focused role that blends security research, tool development, and collaborative problem-solving. You’ll work alongside developers, security engineers, and incident responders to ensure that vulnerabilities are not only found, but also understood, mitigated, and prevented in the future. Required Qualifications Strong proficiency in C and C++, with deep understanding of memory management and low-level programming. Experience with ARM architecture, including reverse engineering and binary analysis. Experience with embedded device security architectures. Proficiency with static analysis tools (e.g., CodeQL, Klocwork, Coverity, Helix QAC, Parasoft, Clang Static Analyzer). Hands-on experience with fuzzing frameworks (e.g., AFL++, libFuzzer, Honggfuzz). Familiarity with exploit mitigation techniques and their implementation in modern toolchains and operating systems. Experience analyzing real-world vulnerabilities and applying lessons learned to improve detection capabilities. Strong understanding of common vulnerability classes (e.g., buffer overflows, UAF, race conditions). Proficiency with reverse engineering tools (e.g., Ghidra, IDA Pro, Binary Ninja). Threat modelling to identify targets for vulnerability detection. Familiarity with AI advances in this area. Excellent written communication skills. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Preferred Qualifications Knowledge of symbolic execution, taint analysis, or dynamic binary instrumentation. Exposure to LLVM Compiler, particularly writing passes and Clang Static Analysis checkers. Contributions to open-source security tools or public vulnerability disclosures. Experience in working with external security researchers. Education Qualifications Bachelor’s degree or above in Computer Science, Computer Security, Electrical Engineering, or a related field, or equivalent practical experience. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3077928

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a Product Security Engineer focused on vulnerability research and exploit mitigation, you will play a critical role in securing software systems by identifying and mitigating vulnerabilities at both the source code and binary levels. This role is ideal for someone who is passionate about software security, has a deep understanding of C/C++ internals, and enjoys building and applying tools to uncover subtle flaws before attackers do. Your primary focus will be on analyzing C/C++ source code using static analysis techniques, both manual and automated, to detect memory safety issues, logic errors, and insecure coding patterns. You will work closely with development teams to integrate and fine-tune sanitizers (such as ASan, UBSan, and MSan) and other compiler-based instrumentation to proactively catch bugs during development and testing. In addition to source-level work, you will also analyze ARM binaries to identify vulnerabilities in compiled code, especially in cases where source is unavailable or incomplete. This includes reverse engineering, binary static analysis, and applying fuzzing techniques to validate findings and uncover additional issues. A key part of your role will involve evaluating and implementing exploit mitigation strategies (e.g., stack canaries, ASLR, DEP, CFI) and ensuring they are effectively deployed across the software stack. You will also monitor external security incidents (e.g., CVEs, threat reports, zero-days) to identify detection gaps in current tooling and processes, and work to close those gaps through improved analysis, tooling, and secure coding guidance. This is a hands-on, engineering-focused role that blends security research, tool development, and collaborative problem-solving. You’ll work alongside developers, security engineers, and incident responders to ensure that vulnerabilities are not only found, but also understood, mitigated, and prevented in the future. Required Qualifications: Strong proficiency in C and C++, with deep understanding of memory management and low-level programming. Experience with ARM architecture, including reverse engineering and binary analysis. Experience with embedded device security architectures. Proficiency with static analysis tools (e.g., CodeQL, Klocwork, Coverity, Helix QAC, Parasoft, Clang Static Analyzer). Hands-on experience with fuzzing frameworks (e.g., AFL++, libFuzzer, Honggfuzz). Familiarity with exploit mitigation techniques and their implementation in modern toolchains and operating systems. Experience analyzing real-world vulnerabilities and applying lessons learned to improve detection capabilities. Strong understanding of common vulnerability classes (e.g., buffer overflows, UAF, race conditions). Proficiency with reverse engineering tools (e.g., Ghidra, IDA Pro, Binary Ninja). Threat modelling to identify targets for vulnerability detection. Familiarity with AI advances in this area. Excellent written communication skills. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc. Preferred Qualifications: Knowledge of symbolic execution, taint analysis, or dynamic binary instrumentation. Exposure to LLVM Compiler, particularly writing passes and Clang Static Analysis checkers. Contributions to open-source security tools or public vulnerability disclosures. Experience in working with external security researchers. Education qualifications: Bachelor’s degree or above in Computer Science, Computer Security, Electrical Engineering, or a related field, or equivalent practical experience. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Overview The Snapdragon LLVM ARM team is looking for QA/Validation engineers to join their fast-paced development team. The engineer will take ownership of all development infrastructure for the LLVM CPU team and support ARM compiler toolchain developers in validating their changes. Additionally, the engineer will help set up automation for build, testing/validation, and release of the Snapdragon LLVM ARM toolchain. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field 1+ years of experience with programming languages such as C, C++, Java, Python, etc. Preferred Qualifications 1+ years of experience in the following areas: Proficiency in scripting languages: one shell scripting language (bash/sh) and Python or Perl Unix/Linux systems Unix utilities and tools such as cmake, make, sed, awk, gcc (usage experience) Experience setting up Android devices (bring-up, connectivity, and automation setup) Experience with Windows development and automation tools such as Visual Studio, MinGW Familiarity with revision control tools such as GIT Knowledge of databases such as MySQL is a plus Additional skills in HTML/CGI web programming and creating web page GUIs are helpful Educational Requirements Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field Preferred: Bachelor's or Master's degree in Computer Engineering and/or Computer Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3076255

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Overview The Snapdragon LLVM ARM team is looking for QA/Validation engineers to join their fast-paced development team. The engineer will take ownership of all development infrastructure for the LLVM CPU team and support ARM compiler toolchain developers in validating their changes. Additionally, the engineer will help set up automation for build, testing/validation, and release of the Snapdragon LLVM ARM toolchain. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field 1+ years of experience with programming languages such as C, C++, Java, Python, etc. Preferred Qualifications 1+ years of experience in the following areas: Proficiency in scripting languages: one shell scripting language (bash/sh) and Python or Perl Unix/Linux systems Unix utilities and tools such as cmake, make, sed, awk, gcc (usage experience) Experience setting up Android devices (bring-up, connectivity, and automation setup) Experience with Windows development and automation tools such as Visual Studio, MinGW Familiarity with revision control tools such as GIT Knowledge of databases such as MySQL is a plus Additional skills in HTML/CGI web programming and creating web page GUIs are helpful Educational Requirements Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field Preferred: Bachelor's or Master's degree in Computer Engineering and/or Computer Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3076256

Job Title: Senior Java Lead Compiler & Native Code Integration Location: Chennai Work Mode: Hybrid (WFO/WFH Optional) Job Summary We are seeking an exceptional and deeply technical Senior Java Lead to pioneer the future of Java performance and extensibility. You will spearhead the architecture and development of our ahead-of-time (AOT) compilation pipeline, translating Java source code and its extensions into high-performance native executables. This role centers on leveraging the JLang projectan LLVM backend for the Polyglot extensible compiler framework—to build a robust, next-generation toolchain. The ideal candidate is a systems-level programmer with a profound understanding of Java language internals, compiler design, and the LLVM ecosystem. You will not only lead a team of talented engineers but will be the principal architect for our compiler, its runtime system, and its language extension capabilities. This is a unique opportunity to solve fundamental challenges in programming language implementation and shape a technology that bridges the managed world of Java with the raw power of native code. Key Responsibilities 1. Architectural Ownership & Technical Vision • Design the Core Compiler Pipeline: Architect the end-to-end translation process from Java source -> Polyglot AST -> LLVM IR -> Native Executable. Make critical decisions on intermediate representations, code generation strategies, and toolchain integration. • Lead Language Extensibility Strategy: Define the framework for creating and integrating custom language features using Polyglot. Determine when features should be "desugared" to standard Java versus requiring direct, custom LLVM IR generation for maximum performance and control. • Set the Bar for Systems Programming: Champion rigorous coding standards, design patterns, and best practices for compiler development. Mentor and upskill developers in the complexities of LLVM, runtime systems, and language semantics. 2. Compiler and LLVM Toolchain Development • Master Java-to-LLVM Translation: Oversee the implementation of mappers for core Java semantics to LLVM IR, including the object model, virtual method dispatch (e.g., vtables), and exception handling (e.g., invoke/landingpad instructions). • Drive Code Optimization: Collaborate with LLVM specialists to leverage advanced optimization passes (e.g., LTO, PGO). Profile and analyze the generated LLVM IR to minimize binary size and maximize execution speed. • Ensure OpenJDK Compatibility: Guarantee that the AOT-compiled code can correctly link against and interoperate with the native components and class libraries of a standard OpenJDK distribution (e.g., for file I/O, networking). 3. Runtime System Design and Implementation • Engineer a Lightweight Java Runtime: Lead the development of a minimal, efficient runtime system required to support features that the JVM traditionally provides. • Solve the Hard Problems of AOT: Design and implement robust solutions for core JVM features in a native context: o Garbage Collection: Integrate and configure a GC (e.g., Boehm-Demers-Weiser) or lead the design of a custom memory manager suitable for AOT-compiled code. o Reflection: Develop a strategy to support java.lang.reflect by generating necessary metadata at compile-time to be consumed by the runtime. o Concurrency: Implement support for Java's memory model and synchronized keyword using native OS-level primitives (e.g., mutexes, atomics). 4. Build, Deployment, and Developer Enablement • Automate the Compiler Toolchain: Design and maintain a sophisticated CI/CD pipeline that automates the multi-stage build, cross-compilation, testing, and packaging of the entire system. • Create World-Class Documentation: Author and maintain in-depth technical documentation, including architectural diagrams, Getting Started guides, and tutorials for developing new language extensions. • Foster a Collaborative Environment: Act as the primary technical liaison between the compiler, runtime, and application teams, ensuring alignment and resolving deep technical challenges. Qualifications & Experience • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field. • 10+ years of professional software engineering experience, with a strong emphasis on Java. • Minimum of 3+ years in systems-level programming, such as compiler development, runtime systems, operating systems, or embedded systems. • Deep understanding of Java internals: You must be fluent in the Java Language Specification (JLS), Java Bytecode, the JVM's internal architecture, class loading, and JIT compilation principles. • Proven experience with LLVM: Demonstrable ability to generate, optimize, and debug LLVM Intermediate Representation (IR). Familiarity with the LLVM C++ API is a strong plus. • Excellent leadership qualities with experience mentoring junior engineers and leading complex technical projects. • Exceptional problem-solving skills and the ability to navigate ambiguous, highly complex technical domains. Preferred Skills (Desirable) • Direct experience with the Polyglot compiler framework or a similar extensible compiler project (e.g., Roslyn, Clang plugins). • Familiarity with the challenges of Ahead-of-Time (AOT) compilation for Java, including knowledge of projects like GraalVM Native Image or OpenJDK's Project Leyden. • Hands-on experience with runtime system components, particularly garbage collection and reflection mechanisms. • Active contributor to open-source compiler, toolchain, or language projects (please include links to your GitHub or relevant work)

Desirable Skills: C/C++: hands on coding experience. Prior experience working in P4 programming language developing any data plane protocol(s) is preferred. Working knowledge of Python and/or shell, Perl or any other scripting language. Understanding of data structures and algorithms and ability to optimize those to support high scale architectures. Working familiarity with network virtualization, network protocols and distributed systems. Excellent troubleshooting, debugging and performance tuning skills for Linux based applications and kernel components, such as any prior experience using tools like oprofile and systems level performance debugging will be an advantage. Proficiency with networking concepts and stack protocols including TCP/IP/UDP, RDMA, Ethernet etc. will be preferred. Knowledge of software engineering best practices, source control, build, unit and integration testing process are desired. Any experience with compiler stack with hands on experience with LLVM will be a plus. Ability to debug object code and understand instruction level working of the stack will be bonus. Any prior experience with RISCV instruction set and working experience on RISCV platform will be a bonus. Any prior experience where data plane packet parser implementation of any protocol from RFC/spec will be bonus. Kernel module development expertise will be a bonus.

Senior LLVM GPU Compiler Engineer Hyderabad India Experienced Professional Posted 10 Jul 2025 502665 The role You will be part of a diverse and distributed team of engineers who maintain and develop our GPU compiler software, supporting a range of graphics and compute APIs while targeting multiple GPU generations with varying ISAs. The GPU compiler is a central part of the drivers that we develop for these APIs. As such, they are critical to achieving optimal runtime performance of graphics/compute workloads on our GPUs, through the production of optimal HW code with minimal compilation time. You will: Maintain and develop our GPU compilers, with a focus on the LLVM based middle-end Diagnose and resolve incorrect compilation from customer issues, QA or conformance testing Analyse code-quality/runtime performance and implement optimisations Add support for new/future GPU functionality to the compilers Add support for new/future API/input language features Identify/suggest changes to improve output quality or compilation time Provide technical insight and collaborate with others to constantly improve our GPU compilers About you Committed to making your customers, stakeholders and colleagues successful, you’re an excellent communicator, listener and collaborator who builds trusted partnerships by delivering what you say, when you say. You’re curious, solutions orientated and a world-class problem solver who constantly seeks opportunities to innovate and achieve the best possible outcome to the highest imaginable standard. You'll have: Advanced C++ programming skills Strong knowledge of and experience with LLVM, especially middle-end compiler. Experience with production-quality compiler development Strong compiler theory, especially optimisation Ability to analyse generated code down to the ISA level Computer architecture knowledge You might also have: Knowledge and experience with graphics/compute APIs such as OpenCL, cuda, Vulkan, OpenGL or DirectX Experience with compilation specifically for GPUs. Backend compiler development (especially LLVM) An appreciation of multi-threaded and/or parallel computation and associated complexity Knowledge of GPGPU programming Knowledge of AI/ML workloads that are amenable to GPU execution Who we are Imagination is a UK-based company that creates silicon and software IP designed to give its customers an edge in competitive global technology markets. Its GPU and AI technologies enable outstanding power, performance, and area (PPA), fast time-to-market, and lower total cost of ownership. Products based on Imagination IP are used by billions of people across the globe in their smartphones, cars, homes, and workplaces. We need your skills to help us continue to deliver technology that will impress the industry and our customers alike, ensuring that people everywhere can enjoy smarter and faster tech than ever before. So come join us if you're wanting that something more Bring your talent, curiosity and expertise and we’ll help you do the rest. You’ll be part of one of the world’s most exciting companies who are one of the leaders in semiconductor IP solutions. As a part of our team, you can help us transform, innovate, and inspire the lives of millions through our technology. Additional information If you encounter accessibility barriers in the application process or if you have access needs and require support or adjustments to participate equitably in the recruitment process, please email recruitment@imgtec.com.

We are looking for experienced Systems SW Compiler Engineers for an exciting role in our PTX (Parallel Thread Execution) Compiler Development team. Join the PTX Compiler team and help drive PTX language design and PTX compiler evolution. PTX enables all GPU Computing applications including HPC, Deep Learning and Autonomous Driving. PTX provides a stable programming model and portable instruction set Architecture (ISA) for NVIDIA GPUs and used by all Compute programming languages compiled to NVIDIA GPUs. PTX is also used as a compiler target by various non-NVIDIA compilers. Work with NVIDIA GPU Architecture and CUDA Programming model teams to build abstractions to expose new GPU features in portable and performant ways in PTX ISA. PTX Compiler (PTXAS) apart from implementing PTX ISA is responsible for PTX Compiler Front End, interaction with optimizer and runtime aspects involving object files, debug information, linkers, loaders and Driver Compiler Interface. As a senior member of the team, you will be responsible for leading efforts to enhance PTX Compiler infrastructure to enhance it to support new compilation models for DL and Generative AI codes. You will be contributing towards evolving programming model for Generative AI and DL applications on GPUs. What You Will Be Doing Provide stewardship for PTX ISA and PTX Compiler infrastructure for Generative AI and DL. Collaborating with architecture and programming model teams to design and implement programming models for next generation GPUs. Working closely with others to help design compilation stack and strategies for AI and DL workloads. Collaborate closely with teams developing other related components to ensure compatibility, robustness and high-quality code generation. What We Need To See BS (or equivalent experience), MS or Ph.D. in Computer Science, Computer Engineering, or related fields. 4+ years of experience in the area of compiler front end, programming language designs, Compilers/Linkers. Superb analytical and C/C++ programming skills. Experience in any one area of compiler development including feature support, code generation and compiler infrastructure. Excellent and strong interactive, verbal and written communications skills. Understanding of any Processor ISA (GPU ISA a plus). Good track record of developing, driving and delivering software products. Ways To Stand Out From The Crowd Experience in Programming Languages design and drafting programming language standards. Knowledge of GPU development and compute APIs such as CUDA, and OpenCL. Development experience in LLVM IR, MLIR JR1999055

At ABB, we help industries outrun - leaner and cleaner. Here, progress is an expectation - for you, your team, and the world. As a global market leader, we’ll give you what you need to make it happen. It won’t always be easy, growing takes grit. But at ABB, you’ll never run alone. Run what runs the world. This Position reports to: R&D Department Lead Your role and responsibilities: In this role, you will have the opportunity to explore emerging technologies, creates intellectual property, and strengthens existing and future ABB offerings. We also provide R&D consultancy services to ABB Divisions and reap the benefits of open innovation by collaborating with Universities and startup companies. You will work in dynamic and creative teams, with a wide range of experience and expertise, carrying out applied research projects developing software engineering techniques to build intelligent systems for process industries. The work model for the role is Hybrid. This is an on-site intern position, reporting to the Research Department Manager at India Corporate Research Center (INCRC), located in Bangalore. You will be accountable for: Assisting research scientists in researching, developing and testing applications related to software equivalence verification for industrial automation. Building and testing functional prototypes using LLVM-IR, Python and C/C++ Collaborating with domain experts to support use case exploration, requirement gathering, and feasibility analysis. Contributing to knowledge sharing, technical documentation, reports, and research publications. Qualifications for the role: Pursuing a full time Master’s or Ph.D. in Computer Science or in a related discipline, as a bona fide student, during the entire tenure of internship and with a no objection certificate from the placement center of the Institute. Proficiency in C/C++ and Python and understanding of compiler internals (backend and frontend). Experience in building tools for formal verification of industrial software systems is preferred. Exposure to design and implementation of industrial systems is preferred. Should have ability to collaborate and communicate effectively in English with internal and external partners including academic community. What's in it for you: We empower you to take initiative, challenge ideas, and lead with confidence. You’ll grow through meaningful work, continuous learning, and support that’s tailored to your goals. Every idea you share and every action you take contributes to something bigger. More about us: ABB a provides a comprehensive range of integrated automation, electrical and digital systems and services for customers in the process, hybrid and maritime industries. These offerings, coupled with deep domain knowledge in each end market, help to optimize productivity, energy efficiency, sustainability and safety of industrial processes and operations. #ABBCareers #RunwithABB #Runwhatrunstheworld We value people from different backgrounds. Could this be your story? Apply today or visit www.abb.com to read more about us and learn about the impact of our solutions across the globe. Fraud Warning: Any genuine offer from ABB will always be preceded by a formal application and interview process. We never ask for money from job applicants. For current open positions you can visit our career website https://global.abb/group/en/careers and apply. Please refer to detailed recruitment fraud caution notice using the link https://global.abb/group/en/careers/how-to-apply/fraud-warning.

Location: Bangalore, India Date Posted: Jul 3, 2025 Description Millions of people experience Synaptics every day. Our technology impacts how people see, hear, touch, and engage with a wide range of IoT applications – at home, at work, in the car or on the go. We solve complex challenges alongside the most influential companies in the industry, using the most advanced algorithms in areas such as machine learning, biometrics and video processing, combined with world class software and silicon development. Overview Synaptics is looking for a talented Sr. Software Engineer to join our dynamic and growing organization. You will be responsible for the customer design-in activities from the design review phase through to mass production, for Synaptics Astra® SL Series of Embedded processors. The Astra® SL Series is a family of highly integrated AI-native Linux SoCs optimized for multi-modal Consumer and Industrial IoT workloads with high-performance hardware accelerators for edge-based inferencing, security, graphics, vision and audio. These processors incorporate multiple high-performance compute engines including a quad-core Arm64 CPU subsystem, multi-TOPS NPU, GPU for AI-acceleration and 3D Graphics, along with multimedia accelerators for Image Signal Processing, 4K video encode and decode, backed by industry-grade security certifications. This position reports to the Sr. Manager, Software Engineering. Responsibilities & Competencies Job Duties Design and develop NPU compilers optimized for machine learning applications Develop optimized computation kernels of Deep Learning Operators Create and implement algorithms and data structures to enhance NPU compiler performance Build software tools for visualization, analysis, debugging, and testing of compiler development Work with open-source compiler frameworks like MLIR to improve compiler functionality Contribute to the deep learning network front-end of the compiler Participate in all stages of the software development lifecycle, including requirements analysis, design, implementation, qualification, and production release Actively collaborate with a global team working on cutting-edge technology to create revolutionary products Competencies Strong understanding of system software and SoC architecture. Proficiency in C/C++ and Python with excellent coding skills. Proactive, self-starter, able to work independently in a fast-paced environment Well organized with strong attention to detail; proactively ensures work is accurate Positive attitude and work ethic; unafraid to ask questions and explore new ideas Good design, programming, and problem-solving skills and able to solve problems through practical use of technology and a solid understanding of product architecture Good verbal and written communication skills, in English Strong team player with the ability to work collaboratively within a diverse cross-functional team Qualifications (Requirements) Bachelor’s (or Master’s) degree in Electrical Engineering, Software Engineering, Computer Science or related field or equivalent 5+ years’ experience in embedded software development Expertise in analyzing, profiling, and debugging C/C++ and Python code. Familiarity with compiler frameworks like LLVM, MLIR, or similar is a strong plus. Hands-on experience in one or more of the following areas: deep learning frameworks such as PyTorch, ONNX, or TensorFlow, Python modules including NumPy and Pandas, Transformer-based architecture No travel required Belief in Diversity Synaptics is an Equal Opportunity Employer committed to workforce diversity. Qualified applicants will receive consideration without regard to race, sex, sexual orientation, gender identity, national origin, color, age, religion, protected veteran or disability status, or genetic information.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Machine Learning Engineering General Summary: Job Overview: Qualcomm is a company of inventors that unlocked 5G - ushering in an age of rapid acceleration in connectivity and new possibilities that will transform industries, create jobs, and enrich lives. But this is just the beginning. It takes inventive minds with diverse skills, backgrounds, and cultures to transform 5Gs potential into world-changing technologies and products. This is the Invention Age - and this is where you come in. We are investing in several supporting technologies including 4G, 5G, Edge Computing, and Deep Learning. The Qualcomm AI team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive markets and beyond. We are seeking ambitious, bright and innovative engineers with experience in Machine learning frameworks, compiler technology, vectorization and optimization, and machine learning toolchains. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction on a daily basis so good communication, planning and execution skills are a must. We are looking to staff engineers at multiple levels in systems & software, integration and test. Details of one of the roles we are looking to staff are listed below. Responsibilities: Research, design, develop, enhance, and implement the different components of machine learning framework, compilers based on performance and code-size needs of the customer workloads and benchmarks. Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs. Analyze and identify system level integration issues, interface with the software development, integration and test teams. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field. 8+ years Systems Engineering or related work experience. Preferred Qualifications Has internal working knowledge of Machine learning frameworks like Pytorch, Tensorflow. Has experience in model level optimization using techniques like torch compile. LLVM or any industrial strength compiler development experience is a plus. Knowledge of the structure and function of the compiler internals. Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus. Hands-on experience implementing DSP Kernels a plus Hands-on Experience in C/C++, Python development (5+ years) Hands-on Experience with Object Orientated Design, TDD development solutions such as GoogleTest etc. (4+ years) Experience with Source Code and Configuration management tools, git knowledge is required Willingness to work in a cohesive software development environment with ability to work on low level implementation (code & test) and interfacing with hardware and simulators Experience in neural network architectures + ML compiler workload synthesis, a plus Prior working experience of hardware accelerators and hardware software co-design Experience in using C++ 14/17 (advanced features) Experience at both the firmware (RTOS) and system level (Linux) in SOC Experience of profiling software and optimization techniques Passion to drive to develop leading-edge "deep learning" framework and algorithms working on mobile and embedded platforms. Minimum Qualifications: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 4+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR Master's degree in Computer Science, Engineering, Information Systems, or related field and 3+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 2+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3076831

Senior HPC/AI Applications Engineer Experienced HPC/AI Applications Engineer with 5+ years in High-performance computing and AI application deployment. Expert at architecting, optimizing, and benchmarking CPU/GPU-intensive environments, ensuring maximum efficiency in scientific and ML workloads. Mastery over Open-source and Commercial HPC/AI Applications. Deep experience installing, benchmarking, and fine-tuning open-source applications, libraries, and compilers across CPU and GPU platforms. Proficient deploying and optimizing and benchmarking scientific codes (WRF, OpenFOAM, LAMMPS, GROMACS, Quantum Espresso, VASP, NAMD, BLAST, GATK, Ansys, Abaqus, MATLAB, LS‑DYNA, Nastran, CAE/CFX) etc. Compiler & Library Optimization - Advanced user of Intel OneAPI, AOCC, NVIDIA HPC SDK, GNU, LLVM, PGI compilers, and MPI libraries (OpenMPI, MPICH, Intel MPI). Deep profiling insights via Nsight, VTune, PAPI. Expert in AI frameworks: TensorFlow (CPU/GPU), PyTorch, Keras, Theano, Caffe, cuDNN. Strong knowledge of NVIDIANGC, NIM & NeMo. Proficient with workload & resource managers (PBS, LSF, SLURM, Kubernetes). Knowledge of application installation tools source code, cmake, spack, easy build, mamba etc. Benchmarking experience in accelerated HPC: HPL, HPCG, STREAM and MLPerf and scientific applications. Skilled in NVIDIA GPU tuning, CUDA and NIM workflows, kernel optimization, memory throughput tuning, and multi-GPU scaling strategies. Knowledge of frameworks such as Hugging Face, OpenAI, or other GenAI platforms. Knowledge in data preprocessing and model evaluation tool. Fluent in Bash, Python, and other scripting languages to automate installation, deployment, performance testing, and administrative tasks. Strong interpersonal skills; versed in customer interaction, technical documentation, and collaboration with cross-functional teams.

Hi, We have an immediate requirement for HPC/AI Application Engineer position with our organization SHI Locuz Enterprise Solutions Pvt Ltd. PFB Job details: Work Location - Pune/Mumbai/Bangalore Work Experience - 6+years(relevant) Subject Matter Expert Skills Required- HPC Application Installation & Deployment, AI Application Deployment. PFB JD for your reference: Senior HPC/AI Applications Engineer Experienced HPC/AI Applications Engineer with 5+ years in High-performance computing and AI application deployment. Expert at architecting, optimizing, and benchmarking CPU/GPU-intensive environments, ensuring maximum efficiency in scientific and ML workloads. Mastery over Open-source and Commercial HPC/AI Applications. Deep experience installing, benchmarking, and fine-tuning open-source applications, libraries, and compilers across CPU and GPU platforms. Proficient deploying and optimizing and benchmarking scientific codes (WRF, OpenFOAM, LAMMPS, GROMACS, Quantum Espresso, VASP, NAMD, BLAST, GATK, Ansys, Abaqus, MATLAB, LS‑DYNA, Nastran, CAE/CFX) etc. Compiler & Library Optimization - Advanced user of Intel OneAPI, AOCC, NVIDIA HPC SDK, GNU, LLVM, PGI compilers, and MPI libraries (OpenMPI, MPICH, Intel MPI). Deep profiling insights via Nsight, VTune, PAPI. Expert in AI frameworks: TensorFlow (CPU/GPU), PyTorch, Keras, Theano, Caffe, cuDNN. Strong knowledge of NVIDIANGC, NIM & NeMo. Proficient with workload & resource managers (PBS, LSF, SLURM, Kubernetes). Knowledge of application installation tools source code, cmake, spack, easy build, mamba etc. Benchmarking experience in accelerated HPC: HPL, HPCG, STREAM and MLPerf and scientific applications. Skilled in NVIDIA GPU tuning, CUDA and NIM workflows, kernel optimization, memory throughput tuning, and multi-GPU scaling strategies. Knowledge of frameworks such as Hugging Face, OpenAI, or other GenAI platforms. Knowledge in data preprocessing and model evaluation tool. Fluent in Bash, Python, and other scripting languages to automate installation, deployment, performance testing, and administrative tasks. Strong interpersonal skills; versed in customer interaction, technical documentation, and collaboration with cross-functional teams.

Project Description: Performance Analyst in the compiler team is responsible for analyzing C/C++/Fortran benchmarks to identify the new compiler optimization opportunities as well as compiler shortcoming in terms of performance. The analysis will involve using various tools to identify the bottlenecks, root cause analysis and quantifying the analysis to confirm the gains obtained. The Performance Analyst will use this report to convince and drive the improvements in the compiler. The Performance Analysis Engineer will be responsible for conducting a detailed performance analysis on SPEC CPU and other key benchmarks. The role involves using compilers such as AOCC, and other key x86 compilers to evaluate performance on client and competitive platforms. The engineer will collaborate with cross-functional teams to drive performance improvements and ensure optimal product performance. Responsibilities: - Conduct performance analysis and optimization of SPEC CPU and other benchmarks on x86 architecture using AOCC and other competitive x86 compilers. - Utilize profiling and debugging tools to identify performance bottlenecks and provide actionable insights. - Collaborate with software development teams to implement performance improvements. - Analyze instruction set architecture (ISA) to optimize code execution and efficiency. - Engage in root cause analysis for performance-related issues and drive them to resolution. - Develop and maintain scripts and tools for automated performance testing and data collection. - Prepare detailed reports and presentations on performance findings and recommendations for stakeholders. - Stay updated with the latest developments in compiler technologies and performance analysis methodologies. - Communicate key findings and status updates to stakeholders and cross-functional teams. Mandatory Skills Description: - Minimum of 3 years of experience in performance analysis or a related field. - Strong expertise in x86 architecture and instruction set architecture (ISA). - Strong understanding of hardware and software system architecture and their implications on performance. - Excellent programming/debugging skills at the Assembly level. - Proficiency in using compilers such as AOCC, LLVM, GCC, and OneAPI. - Experience with performance benchmarking tools and methodologies. - Solid practical C/C++/Fortran experience - Familiarity with both Windows and Linux operating systems for performance analysis. - Ability to work in a fast-paced, deadline-driven environment. - Excellent analytical skills and attention to detail. - Strong communication skills, both written and verbal. - Excellent analytical and problem-solving skills. Nice-to-Have Skills Description: - Strong communication skills and the ability to work collaboratively in a team environment.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Overview The Snapdragon LLVM ARM team is looking for QA/Validation engineers to join their fast-paced development team. The engineer will take ownership of all development infrastructure for the LLVM CPU team and support ARM compiler toolchain developers in validating their changes. Additionally, the engineer will help set up automation for build, testing/validation, and release of the Snapdragon LLVM ARM toolchain. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field 2+ years of experience with programming languages such as C, C++, Java, Python, etc. Preferred Qualifications 3+ years of experience in the following areas: Proficiency in scripting languages: one shell scripting language (bash/sh) and Python or Perl Unix/Linux systems Unix utilities and tools such as cmake, make, sed, awk, gcc (usage experience) Experience setting up Android devices (bring-up, connectivity, and automation setup) Experience with Windows development and automation tools such as Visual Studio, MinGW Familiarity with revision control tools such as GIT Knowledge of databases such as MySQL is a plus Additional skills in HTML/CGI web programming and creating web page GUIs are helpful Educational Requirements Required : Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field Preferred : Bachelor's or Master's degree in Computer Engineering and/or Computer Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Overview The Snapdragon LLVM ARM team is looking for QA/Validation engineers to join their fast-paced development team. The engineer will take ownership of all development infrastructure for the LLVM CPU team and support ARM compiler toolchain developers in validating their changes. Additionally, the engineer will help set up automation for build, testing/validation, and release of the Snapdragon LLVM ARM toolchain. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field 2+ years of experience with programming languages such as C, C++, Java, Python, etc. Preferred Qualifications 3+ years of experience in the following areas: Proficiency in scripting languages: one shell scripting language (bash/sh) and Python or Perl Unix/Linux systems Unix utilities and tools such as cmake, make, sed, awk, gcc (usage experience) Experience setting up Android devices (bring-up, connectivity, and automation setup) Experience with Windows development and automation tools such as Visual Studio, MinGW Familiarity with revision control tools such as GIT Knowledge of databases such as MySQL is a plus Additional skills in HTML/CGI web programming and creating web page GUIs are helpful Educational Requirements Required: Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field Preferred: Bachelor's or Master's degree in Computer Engineering and/or Computer Science Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3077193

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Job Description: The compiler team at Qualcomm Innovation Center is seeking talented compiler engineers to optimize LLVM for Qualcomm’s proprietary processors. As a member of the compiler team, You Will: Research, design, and implement different compiler optimizations to improve runtime and memory characteristics of software applications Analyze software requirements, consult with architecture and HW engineers, and devise compiler solutions for Qualcomm’s next generation architectures Analyze and identify system level integration issues, interface with the software development, integration and test teams. Position: Engineer Location: Hyderabad Education: B.Tech/M.Tech/PhD in Computer Science Engineering Minimum Qualifications: 0-2 years of academic or industrial experience in the following areas is required: Compiler development/Strong desire to work in this domain C/C++ programming Preferred Qualifications: Development experience with LLVM framework Knowledge of ARM/AArch64, RISC-V ISA Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers. 3076251

Company: Qualcomm India Private Limited Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Excited about positive impact you can make on the security of billions of devices powered by Qualcomm SoCs and software? Come and join Qualcomm Product Security team, one of the best product security teams in the industry. We have multiple openings with different focus. Applicants MUST have expertise or experience in the following areas 5 - 8 years of experience with C and C++: Product security incident response in automotive industry Secure code review, analysis and vulnerability assessment Security testing, e.g. fuzzing and pen-testing Operating system security Mobile platform security such as Android Automotive Security Exploit mitigation techniques Threat modeling Preferred Qualifications: The following skills/experience will be considered a plus: Experience of working with external security researchers Exposure to LLVM Compiler, Writing Passes and Clang Static Analysis checkers Knowledge of internals of any one of Klocwork, Coverity or Parasoft Experience of applying software static or dynamic analysis tools (such as Klocwork, Coverity, LLVM sanitizers and popular fuzzing tools) to large code base for vulnerability detection Knowledge of the internals of mobile or embedded operating systems In general, job function includes performing security assessment on Qualcomm products, detecting and mitigating security vulnerabilities and risks, responding to product security incidents, assisting customers and partners on product security related issues, conducting research and prototyping on advanced vulnerability detection methods, countermeasures, platform hardening techniques, and system level security improvement. Applicants : Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies : Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.