241 Opencl Jobs

Job Description: You will provide leadership in designing and implementing ground-breaking GPU computers that run demanding deep learning, high-performance computing, and computationally intensive workloads. We seek an expert to identify architectural changes and/or completely new approaches for accelerating our deep learning models. As an expert, you will help us with the strategic challenges we encounter, including compute, networking, and storage design for large scale, high-performance workloads, effective resource utilization in a heterogeneous computing environment, evolving our private/public cloud strategy, capacity modelling, and growth planning across our products and services. As an architect you are responsible for converting business needs associated with AI-ML algorithms in to a set of product goals covering workload scenarios, end user expectations, compute infrastructure and time of execution; this should lead to a plan for making the algorithms production ready Benchmark and optimise the Computer Vision Algorithms and the Hardware Accelerators for performance and quality KPIs. Optimize algorithms for optimal performance on the GPU tensor cores. Collaborate with various teams to drive an end to end workflow from data curation and training to performance optimization and deployment. Assign tasks to the team and monitor as well Skills Required MS or PhD in Computer Science, Electrical Engineering, or related field. A strong background in deployment of complex deep learning architectures . 7+ years of relevant experience in at least a few of the following relevant areas is required in your work history: Machine learning (with focus on Deep Neural Networks), including understanding of DL fundamentals; Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch): Numerical analysis, Performance analysis, Model compression and Optimization & Computer architecture. Strong Data structures and Algorithms know-how with Excellent C/C++ programming skills. Hands-on expertise with PyTorch, TensorRT, CuDNN Hand-on expertise with GPU computing (CUDA, OpenCL, OpenACC) and HPC (MPI, OpenMP) In-depth understanding of container technologies like Docker, Singularity, Shifter, Charliecloud. Proficient in Python programming and bash scripting. Proficient in Windows, Ubuntu and Centos operating systems. Excellent communication and collaboration skills. Self-motivated and able to find creative practical solutions to problems. Good to have Hands-on experience with HPC cluster job schedulers such as Kubernetes, SLURM, LSF. Familiarity with cloud computing architectures Hands-on experience with Software Defined Networking and HPC cluster networking. Working knowledge of cluster configuration management tools such as Ansible, Puppet, Salt. Understanding of fast, distributed storage systems and Linux file systems for HPC workloads. About Company: AIRA Matrix provides artificial intelligence based solutions for Life Sciences applications. Our solutions improve efficiency, diagnostic accuracy, and turnaround times in pathology, microbiology and ophthalmology workflows across pharmaceutical and healthcare laboratories. We leverage machine and deep learning techniques to develop diagnostic, prognostic, and predictive solutions. Our solutions provide cost benefits in the pharmaceutical domain, by speeding up pre-clinical drug development timelines, and by enhancing the efficiency of environmental monitoring required in manufacturing. In healthcare applications, our solutions improve treatment outcomes by aiding disease stratification and enabling management protocols tailored to individual patients. Our clients and partners include leading hospitals, pharmaceutical companies, CROs, and research labs around the world. Our deep learning platforms with existing network models and pre-built AI applications provide the foundation for fast customizations and help tackle any unique challenges in your image analysis and study management workflows. Our flexible service model enables the swift deployment of these custom solutions with minimal resource and time commitment from your side. Our Application Development Team plays an important role in developing competent customer facing applications to access our AI solutions and enterprise-level image management systems in life sciences. -- Regards, Surya Prajapati Talent Acquisition Specialist Email : surya.prajapati@airamatrix.com Website : https://www.airamatrix.com Dosti Pinnacle, 801, Rd No. 22, Wagle Industrial Estate , Thane (W) Maharashtra, India - 400604.

Netradyne harnesses the power of Computer Vision and Edge Computing to revolutionize the modern-day transportation ecosystem. We are a leader in fleet safety solutions. With growth exceeding 4x year over year, our solution is quickly being recognized as a significant disruptive technology. Our team is growing, and we need forward-thinking, uncompromising, competitive team members to continue to facilitate our growth. Role:- Embedded Software Engineer- Multimedia Developer Department/Group:Device Team Experience: - 6 to 10 years About Netradyne Founded in 2015, Netradyne is a technology company that leverages expertise in Artificial Intelligence, Deep Learning, and Edge Computing to bring transformational solutions to the transportation industry. Netradyne’ s technology is already deployed in thousands of vehicles; and our customers drive everything from passenger cars to semi-trailers on interstates, suburban roads, rural highways—even off-road. Responsibilities: Individual in this position should have a zeal to learn and ability to come up with innovative solutions for our latest cutting-edge embedded vision platforms Candidate should have experience on design and implementing solutions for embedded systems. Individual will be responsible to take Audio/Video data captured by camera and process it in real time and store it efficiently using right encoding techniques Should have ability to handle probes at different source/sinc points in pipeline and carry out the required functionality Essential Skills: Linux/ Android, Middleware, Multimedia – Camera, GStreamer ( Video/Audio pipeline) or equivalent streaming framework exposure Ability to develop software in C, C++ Hands on experience on design and implementation of software modules on embedded systems Good oral and written skills Rapidly adapt to a challenging work environment, Team spirit and good communication skills Optional Skills: Linux device driver and RTOS is a plus. GPU, Cuda, OpenCL, SNPE, Algorithm Optimization is a plus. Qualifications and Education Requirements BE/ME Or BTECH/MTECH in a related field We are committed to an inclusive and diverse team. Netradyne is an equal-opportunity employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. If there is a match between your experiences/skills and the Company's needs, we will contact you directly. Netradyne is an equal-opportunity employer. Applicants only - Recruiting agencies do not contact. Recruitment Fraud Alert! There has been an increase in fraud that targets job seekers. Scammers may present themselves to job seekers as Netradyne employees or recruiters. Please be aware that Netradyne does not request sensitive personal data from applicants via text/instant message or any unsecured method; does not promise any advance payment for work equipment set-up and does not use recruitment or job-sourcing agencies that charge candidates an advance fee of any kind. Official communication about your application will only come from emails ending in ‘@netradyne.com’ or ‘@us-greenhouse-mail.io’. Please review and apply to our available job openings at Netradyne.com/company/careers. For more information on avoiding and reporting scams, please visit the Federal Trade Commission's job scams website.

We are seeking a highly skilled software engineer, very proficient in C++ or Python coding. What You'll Do Design, develop, and maintain high-performance software applications using Python & C++. Optimize and enhance existing software for efficiency, scalability, and reliability. Collaborate with cross-functional teams, including mechanical, electrical, computer vision, and software engineers. Implement best practices in software engineering, including code reviews, unit testing, and documentation. Debug, troubleshoot, and resolve software defects and performance issues. Work with modern development tools, version control systems (Git), and CI/CD pipelines. Develop algorithms and data structures to solve complex computational problems. Ensure security and compliance standards are met in software development. What You'll Need Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field. Strong proficiency in C++ (C++11/14/17/20) and Python. Experience with multi-threading, concurrency, and performance optimization. Familiarity with software development methodologies and design patterns. Knowledge of system programming, memory management, and debugging tools. Experience with version control systems (Git) and agile development practices. Strong problem-solving skills and ability to work in a fast-paced environment. Professional experience in software development preferred. You'll Stand Out Experience with GPU programming (CUDA, OpenCL) or parallel computing. Knowledge of networking protocols and distributed systems. Exposure to machine learning frameworks (TensorFlow, PyTorch) or scientific computing. Experience with DevOps tools (Docker, Kubernetes, CI/CD pipelines)

We are looking for a Computer Vision Engineer. The ideal candidate will have expertise in image processing, machine learning, and video streaming technologies.

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 Description Work on Vulkan driver development using Turnip in Mesa for compute-class GPUs. Contribute to Vulkan feature implementation and validation. Support compatibility with OpenGL-over-Vulkan layers and gaming/emulation workloads. Responsibilities Develop Vulkan features in Turnip. Validate Vulkan extensions. Support Zink, DXVK, and Proton integration. Fix bugs and contribute to upstream Mesa. Required Skills Strong C/C++ programming skills. Understanding of graphics APIs (Vulkan, OpenGL). Experience with Linux graphics stack , Mesa, and Turnip. Familiarity with gaming workloads and emulation layers. Minimum Experience B.Tech + 2 years or M.Tech in graphics or system software development.

Position Requirements: Model and analyze graphics algorithms/features using a C++ based cycle-accurate GPU performance model Collaborate with architects, HW and SW teams to prototype and evaluate next generation architecture proposals Using GPU workloads, analyze performance and root cause encountered bottlenecks Explore alternative design options in terms of performance/power efficiency Correlate performance between model and RTL to improve model accuracy Automate performance analysis flow (For senior role) Supervise and provide technical guidance to drive end to end feature analysis (For senior role) Identify bottle necks and propose novel solutions to optimize performance/power efficiency Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Skills/Qualifications: Programming experience in: C/C++ and Python Graphics/Computer architecture knowledge: Pipelines, Caches, Latency, Throughput, etc Excellent debugging and analytical skills B.Tech/B.S. Or MTech/M.S or PhD in Electronics Engineering, Embedded, Computer Engineering or Computer Science (For senior role) more than 5 years of relevant industry experience Good to have: 6 - 15Yrs years of relevant industry experience Graphics Programming experience: OpenGL and/or DirectX, OpenCL and/or CUDA, Vulkan

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. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. ORPhD 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. Preferred Qualifications and Responsibilites of the Role 6 - 8 years of experience in Graphics APIs - any of DX11/DX12/Vulkan. Looking for a developer with strong design experience with OOPS, & C++ development experience. Hands-on experience with Game development, experience with Unreal Engine 5, GPU based rendering techniques. Prefer prior development experience in implementing/supporting Graphics driver for standards (Direct3D, Vulkan, OpenCL). Strong debugging skills would also be preferred Will work with GPU Software & Hardware teams, and ISVs to develop/support compliant and optimized Graphics drivers for Adreno GPUs for a competitive edge. Prefer prior experience with understanding the graphics rendering pipeline, APIs Inter-Op, and other Multimedia IPs. Performance profiling experience in DirectX/Vulkan games is preferred Level of Responsibility: Works independently with minimal supervision. Decision-making may affect work beyond immediate work group. Requires verbal and written communication skills to convey information. May require basic negotiation, influence, tact, etc. Tasks do not have defined steps; planning, problem-solving, and prioritization must occur to complete the tasks effectively.

General Summary: Looking for ML framework and AI compiler Engineer responsible for Designing, implementing, and deploying machine learning models using PyTorch Focusing on backend infrastructure and system architecture. Responsibilities often include developing framework, integrating with other AI tools, and ensuring scalability and reliability. Here's a more detailed breakdown of what you might see in such a job description: Key Responsibilities: Model Development and Deployment: Designing, building, and deploying AI models, particularly those leveraging PyTorch for deep learning. Backend Infrastructure: Developing and maintaining the backend systems that power AI applications, including data ingestion, processing, and storage. System Architecture: Designing scalable and high-performance backend architectures to handle AI workloads. Model Optimization: Optimizing model performance for speed, accuracy, and resource efficiency. Integration: Integrating AI models with other systems and applications. API Development: Creating and maintaining APIs for communication between frontend and backend components. Data Handling: Managing data ingestion, preprocessing, and storage for AI training and inference. Collaboration: Working with data scientists, product managers, and other engineers to bring AI solutions to life. Tools, Technologies, Skills and Programming: C, C++: Strong programming capability using advanced techniques to design and develop AI compilers and backends. Scripting: Strong expertise in Python with design, develop, release and maintain projects. AI Frameworks: Familiarity with other AI frameworks like PyTorch, TensorFlow, Hugging Face, etc. Machine Learning Knowledge: Understanding of machine learning principles and algorithms starting Computer vision to large language models and continuously update to new trends. Expertise to deep learning accelerator programming (GPU, NPU). Any parallel programming experience (Like CUDA, OpenCL, MKLDNN ..etc) is a plus. Experience with deep leaning compilers like Glow, TVM etc is a plus. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.

General Summary: Adreno GPU has been the industry leading mobile graphics solution and has been the dominating GPU in todays smart phone market. Our power efficient GPU solution is fundamental to enable the exciting new markets like VR, IoT, AI, drone, autonomous driving etc. We are looking for talented Graphics System engineers to create world class GPU products to enable high performance graphics and compute with low power consumption. As a member of our Graphics System team, you will help create the simulator of our next generation graphics core for mobile devices. In this position, you will be responsible for development of the GPU architecture design using advanced modeling methodologies. You are expected to understand the design and implementation, define the development scope, develop the algorithm for some functional blocks, and verify the correctness of the design. You will be working with architects, designers, driver, and compiler teams to accomplish your tasks. Develop bitwise accurate functional models (C-model) (by using C/C++ etc.) to simulate our new architectures and solutions Develop solid test suites and perform functional verification & validation with the C-Model and RTL simulation Perform conformance tests, stress & random tests and stabilize GPUs & Compute systems Additional Job DescriptionAdditional Job Description Critical Must Have skills/experience for role Good understanding of modern 3D graphics pipeline. Programming experience in graphics or compute using API like DirectX, OpenGL OpenCL, Vulkan. Programming experience in modeling using C++ and good understanding of computer/GPU architecture and pipeline. Debugging and problem-solving skills. Ability to write clean, professional & maintainable code in C++. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Preferred skills/experience for role: Knowledge ongraphics/ray-tracing/computearchitecture & pipeline (e.g., DirectX, OpenGL, OpenCL, Vulkan, etc.)C/C++/Perl/Pythonprogramming language Good communication skills and ability & desire to work as a team player. SystemC and TLM experience are desirable Agile development methodology experience is preferable Graphics & compute driver or compiler experience is a plusVerilog/Vera/SystemVerilogexperience is a plus Required :Minimum Qualifications- Bachelor's or higher degree in Computer Engineering, Computer Science, Electrical Engineering, or related field.- 8+ years Systems Engineering or related work experiencePreferred Qualifications:- Master's or higher degree in Computer Engineering or Computer Science.- 7+ years Systems Engineering or related work experience

General Summary: Qualcomms Graphics PSE team is a part of the Graphics System team and is responsible for the overall quality of the Graphics IP in silicon. As a member of our Graphics PSE team, you will be working closely with architects, designers, verification, and software engineers to take the GPU from pre-Sil stage to tape out to silicon bring-up and to CS(Customer Samples). Job Functions/General Responsibilities: In this position, you will be responsible for developing graphics applications using graphics API like DirectX, OpenGL ES , Vulkan, improving coverage, creating GPU bring-up test-plans and test methodologies. Analyzing and enabling new games and benchmark in pre-Si environment. Provide debug support in pre-Silicon environment (functional model) and driving end to end solutions for silicon bring-up issues including failure debug. We are looking for highly motivated engineers that enjoy working in a fast-paced environment with minimal guidance. Candidates must have strong programming, communication and teamwork skills and approach difficult challenges as learning opportunities. Critical Must Have skills/experience for role Strong programming in C/C++. GPU APIs knowledge (Vulkan/Direct3D/OpenGL/Direct X / OpenCL etc.) GPU architecture. Strong analytical skill. 4+ years of relevant experience. Minimum Qualifications Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 10+ years of Systems Engineering or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience.ORPhD in Engineering, Information Systems, Computer Science, or related field and 5+ year of Systems Engineering or related work experience. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Preferred skills/experience for role: Experience with at least one of: Perl, Python, TCL Games/graphics application development. OpenCL/CUDA knowledge. Graphics driver development or modelling experience. Post-silicon enablement and bring-up. Prior experience in working in emulation environments for development and debug. Debug tools including JTAG and kernel debuggers

General Summary: 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 Description Contribute to OpenCL enablement via RustiCL for compute-class GPUs. Work on integration with Mesa and validation of CI pipelines. Support performance tuning for AI/ML and compute workloads on Linux platforms. Responsibilities Implement and maintain RustiCL support. Integrate with Freedreno and Turnip pipelines. Validate CI and upstream compliance. Optimize compute performance for Linux workloads. Required Skills Strong C/C++ programming skills. Experience with Rust and OpenCL. Solid understanding of Linux OS and CI workflows. Familiarity with Mesa and GPU compute stacks. Minimum Experience B.Tech + 2 years or M.Tech in compute or graphics software development.

General Summary: Job Description Analyze and evaluate GPU architecture/microarchitecture and workload for performance and power optimizations GPU power modeling and estimation for projection and correlation GPU workload analysis, profiling, and characterizations Analyze, model, and minimize GPU register, logic, memory, and clock power Develop and maintain tests for pre-silicon and post-silicon power verifications. Work closely with multiple teams such as RTL designer, architecture, design verification, compiler, driver, silicon implementation, and post-silicon teams Knowledge of Graphics architecture is a plus Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 7+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 13+ years of Systems Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 12+ years of Systems Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience. Preferred Qualifications: Master's or PhD degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field. 3+ years of experience with advanced CPU/GPU architecture/microarchitecture design development 5+ years of experience with VLSI design and verification 5+ years of experience with low-power ASIC design techniques Experience with industry tools such as PrimeTime PX and Power Artist Experience with Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda development Experience with GPU driver and compiler development Skills: C/C++ Programming Language, Scripting (Python/Perl), Assembly, Verilog/SystemVerilog, Design Verification

General Summary: As part of GPU performance and architecture team, the candidate will be working on the latest and greatest in GPU architecture and Computer Graphics. The role revolves around working on analyzing the most popular games and benchmarks which use highly advanced rendering techniques, evaluating their performance on Qualcomm GPUs, define new optimizations/algorithms/configurations for the Adreno GPUs and modeling them to define next generation of Adreno GPU Key Deliverables Contribute to conversations to generate new ideas for next generation GPU architecture improvements. Develop and maintain GPU performance model, defining and performing experiments to study architectural features Conduct in-depth analysis of graphics benchmark performance to identify issues or areas for improvement. Conduct config studies and define high-quality GPU system based on requirements, optimizing along the axes of performance, power efficiency, complexity, area, effort, and schedule meet needs, benchmarks, and industry standards, even when faced with ambiguous information Demonstrates good understanding of and conducts research on industry trends and innovations in graphics to ensure solutions and deliverables align with best practices. Works across teams to align on important areas of feature development and ensure targets are met Responsibilities Working independently with little supervision. Provide some supervision/guidance to others. Having a moderate amount of influence over key organizational decisions (e.g., is consulted by senior leadership to provide input on key decisions). Use deductive and inductive problem solving; multiple approaches may be taken/necessary to solve the problem Must have excellent verbal and written communication skills to convey information to various stakeholders some of whom may have limited knowledge of the subject in question Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Systems Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Systems Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience. Requirements Proficient in one of the languages: C++, System C, Python Expertise in Computer Architecture Knowledge of Graphics/Compute APIs like OpenGL and/or DirectX, OpenCL and/or CUDA, Vulkan Keywords : 3D graphics; benchmark analysis; gpu; performance modeling; compute architecture

As an AI Model Validation Engineer at Leadsoc Technologies in Hyderabad, you will be responsible for validating AI models with a strong background in machine learning fundamentals. Your expertise in deep learning, large language models, and recommender systems within the embedded domain will be essential for this role. To excel in this position, you must possess a solid understanding of validation processes, defects, and the software development life cycle. Proficiency in Ubuntu/Yocto Linux is crucial, along with experience working with open-source frameworks such as PyTorch, TensorFlow, and ONNX-Runtime. Your role will also involve profiling ML workloads and executing validation plans for AI/ML compute stacks like HIP, CUDA, OpenCL, and OpenVINO. Strong python programming skills are a must-have for this position. Ideally, you should have 3-6 years of relevant experience in the field and be available to join with a notice period of less than 15 days. If you are passionate about AI model validation and possess the required skills, we look forward to having you on our team at Leadsoc Technologies. Warm regards, Murali,

Qualcomm India Private Limited is a leading technology innovator that is dedicated to pushing the boundaries of what's possible. They strive to enable next-generation experiences and drive digital transformation to create a smarter, connected future for all. As a Qualcomm Software Engineer, your primary responsibilities will revolve around designing, developing, creating, modifying, and validating embedded and cloud edge software, applications, and/or specialized utility programs. Your work will contribute to the launch of cutting-edge, world-class products that not only meet but exceed customer needs. Collaboration with systems, hardware, architecture, test engineers, and other teams will be essential as you design system-level software solutions and gather information on performance requirements and interfaces. To be eligible for this role, you must have a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field along with at least 2 years of Software Engineering experience. Alternatively, a Master's degree with 1 year of experience or a PhD in a relevant field is also accepted. You should possess 2+ years of academic or work experience with Programming Languages such as C, C++, Java, Python, among others. Additionally, the ideal candidate will have 2 to 6 years of work experience in embedded software and/or driver development. Detail-oriented individuals with strong analytic and problem-solving skills will excel in this role. Proficiency in C/C++ programming and ARM assembly language is highly valued, as well as a solid understanding of embedded system architecture. Experience with 2D and 3D graphics technology and standards like OpenGL, OpenGL ES/EGL, Vulkan, multimedia on embedded systems, and GPU utilization as a compute engine is advantageous. Knowledge of virtualization technologies, GPU optimization, advanced rendering, and latency optimizations is beneficial. Familiarity with modern 3D graphics applications, shader languages like GLSL, and operating systems such as Android, QNX, embedded Linux, Genivi, Integrity is preferred. Fluency in industry-standard software tools, strong communication skills, and a passion for excellence in programming are essential qualities for this role. Qualcomm values equal opportunity and is committed to providing reasonable accommodations for individuals with disabilities during the application/hiring process. If you are eager to work in a dynamic environment that fosters innovation and collaboration, this Software Engineer position at Qualcomm could be the perfect fit for you.,

General Summary: The Qualcomm Adreno GPU Software team is looking for talented engineers to work on next generation GPU Developer Tools. Responsibilities include the design and development of profiling and performance analysis tools, GPU debugging tools, collaborating with GPU hardware and software teams on performance validation and analysis, new feature development, debugging issues, optimizing for the user experience, and working with the developer ecosystem, our partners, and OEMs. This role is an opportunity to shape how developers optimize for the Snapdragon Adreno GPU and have insight into next generation GPU hardware design.Our efforts in GPU Developer Tools create opportunities for our team members to learn new technologies and engage in full stack development ranging from user interfaces to graphics driver instrumentation. Experience in developing real-time software applications, graphics and/or GPGPU applications, games, middleware, drivers, or developer tools is a big plus.In this role, you will: Design and develop profiling, performance analysis, and debugging tools features. Collaborate with GPU hardware and software teams on performance validation and analysis. Debug issues, optimize for the user experience, and work with the developer ecosystem, partners, and OEMs. Shape how developers optimize for the Snapdragon Adreno GPU and gain insight into next generation GPU hardware design.The ideal candidate will meet two or more qualifications:10 years of professional experience Extensive programming knowledge in C/C++ Strong knowledge of GPU hardware and graphics concepts Demonstrated ability to deliver software features and products while ensuring the highest standards of quality and innovationOne or more of the following qualifications is a plus: Experience developing graphics applications with Vulkan, DirectX, Metal, OpenGL, WebGL or graphics development through Unity, Unreal Engine, Godot or a comparable graphics or game engine Experience developing GPU computing applications with OpenCL, CUDA, SYCL etc. Experience debugging, optimizing, profiling, and tuning real-time graphics and/or compute applications Experience with game engines, graphics frameworks, or general computing frameworks leveraging the GPU Knowledge of recent graphics trends, especially ray tracing and emerging capabilities such as mesh shading and workgraphs Familiarity with Graphics Profilers and Debuggers such as Nsight, PIX, GPA, RenderDoc, Radeon Profilers, GfxReconstruct Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience. ORPhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

General Summary: 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 2+ years of Software Engineering or related work experience. ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. ORPhD 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. 2 to 6 years work experience in embedded software and/or driver. Candidate should be detail-oriented and have strong analytic and problem-solving skills, highly organized Extremely strong knowledge with C/C++ programming, ARM assembly language. Solid understanding of overall embedded system architecture. Experience in 2D and 3D graphics technology and standards such as OpenGL, OpenGL ES/EGL, Vulkan Experience in multimedia on embedded systems and the use of graphics and in a highly integrated system. Experience and/or knowledge of the use of the GPU as a compute engine: GPGPU and OpenCL is an asset.Experience with virtualization technologies across CPU and MM hardware accelerators.Experience with GPU optimization, advanced rendering, and latency optimizations and ability to identify and isolate performance issues in graphics applications.Experience with design and implementation of modern 3D graphics applications using OpenGLES API is a plus.Experience with writing vertex and fragment shaders using shading languages such as GLSL is a plus.Knowledge in one or more of the following operating systems is preferred: Android, QNX, embedded Linux, Genivi, Integrity.Knowledge of Graphics frameworks: Kanzi, QT, is a plus *Fluent in industry standard software tools: SW/HW debuggers, code revision control systems (GIT, Perforce), IDEs and build tools.Strong communication skills (written and verbal), working with teams across multiple time zones.A passion for excellence in programming, and exceeding goals.

Job Requisition ID # 25WD85491 Position Overview We are looking for an experienced Principal Software Engineer to join our platform team focusing on AI/ML Platform (AMP). This team builds and maintains central components to fast track the development of new ML/AI models such as model development studio, feature store, model serving and model observability. The ideal candidate would have a background in ML Ops, Data engineering and DevOps with the experience of building high scale deployment architectures and observability. As an important contributor to our engineering team, you will help shape the future of our AI/ML capabilities, delivering solutions that inspire value for our organization. You will report directly to an Engineering Manager, and you will be based in Pune. Responsibilities System design: You will design, implement and manage software systems for the AI/ML Platform and orchestrate the full ML development lifecycle for the partner teams Mentoring: Spreading your knowledge, sharing best practices and doing design reviews to step up the expertise at the team level Multi-cloud architecture: Define components which leverages strengths from multiple cloud platforms (e.g., AWS, Azure) to optimize performance, cost, and scalability AI/ML observability: You will build systems for monitoring performance of AI/ML models and find insights on the underlying data such as drift detection, data fairness/bias and anomalies ML Solution Deployment: You will develop tools for building and deploying ML artefacts in production environments and facilitating a smooth transition from development to deployment Big Data Management: Automate and orchestrate tasks related to managing big data transformation and processing and build large-scale data stores for ML artifacts Scalable Services: Design and implement low-latency, scalable prediction, and inference services to support the diverse needs of our users Cross-Functional Collaboration: Collaborate across diverse teams, including machine learning researchers, developers, product managers, software architects, and operations, fostering a collaborative and cohesive work environment End-to-end ownership: You will take the end-to-end ownership of the components and work with other engineers in the team including design, architecture, implementation, rollout and onboarding support to partner teams, production on-call support, testing/verification, investigations etc Minimum Qualifications Educational Background: Bachelor’s degree in Computer Science or equivalent practical experience Experience: Over 8 years of experience in software development and engineering, delivering production systems and services Prior experience of working with MLOps team at the intersection of the expertise across ML model deployments, DevOps and data engineering Hands-on skills: Ability to fluently translate the design into high quality code in golang, python, Java Knowledge of DevOps practices, containerization, orchestration tools such as CI/CD, Terraform, Docker, Kubernetes, Gitops Demonstrate knowledge of distributed data processing frameworks, orchestrators, and data lake architectures using technologies such as Spark, Airflow, iceberg/ parquet formats Prior collaborations with Data science teams to deploy their models, setting up ML observability for inference level monitoring Exposure for building RAG based applications by collaborating with other product teams, Data scientists/AI engineers Demonstrate creative problem-solving skills with the ability to break down problems into manageable components Knowledge of Amazon AWS and/or Azure cloud for solutioning large scale application deployments Excellent communication and collaboration skills, fostering teamwork and effective information exchange Preferred Qualifications Experience in integrating with third party vendors Experience in latency optimization with the ability to diagnose, tune, and enhance the efficiency of serving systems Familiarity with tools and frameworks for monitoring and managing the performance of AI/ML models in production (e.g., MLflow, Kubeflow, TensorBoard) Familiarity with distributed model training/inference pipelines using (KubeRay or equivalent) Exposure to leveraging GPU computing for AI/ML workloads, including experience with CUDA, OpenCL, or other GPU programming tools, to significantly enhance model training and inference performance Exposure to ML libraries such as PyTorch, TensorFlow, XGBoost, Pandas, and ScikitLearn Learn More About Autodesk Welcome to Autodesk! Amazing things are created every day with our software – from the greenest buildings and cleanest cars to the smartest factories and biggest hit movies. We help innovators turn their ideas into reality, transforming not only how things are made, but what can be made. We take great pride in our culture here at Autodesk – it’s at the core of everything we do. Our culture guides the way we work and treat each other, informs how we connect with customers and partners, and defines how we show up in the world. When you’re an Autodesker, you can do meaningful work that helps build a better world designed and made for all. Ready to shape the world and your future? Join us! Salary transparency Salary is one part of Autodesk’s competitive compensation package. Offers are based on the candidate’s experience and geographic location. In addition to base salaries, our compensation package may include annual cash bonuses, commissions for sales roles, stock grants, and a comprehensive benefits package. Diversity & Belonging We take pride in cultivating a culture of belonging where everyone can thrive. Learn more here: https://www.autodesk.com/company/diversity-and-belonging Are you an existing contractor or consultant with Autodesk? Please search for open jobs and apply internally (not on this external site).

Greeting from Leadsoc Technologies_ Hyderabad Position: AI model validation Engineer Strong background in machine learning fundamentals, including deep learning,large language models, and recommender systems Embedded domain. Strong background in validation, defect and software development life cycle Strong knowledge on ubuntu / yocto linux Experience working with opensource frameworks such as PyTorch, TensorFlow, and ONNX-Runtime. Experience in profiling ML workloads Prior experience in executing validation plans for AI/ML compute stacks such as HIP, CUDA, OpenCL, OpenVINO, Strong background in python programming. EXP: 3-6 Years Notice period: Less then 15 days Regards Murali

Overview: WHAT YOU DO AT AMD CHANGES EVERYTHING We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Responsibilities: SE NIOR SILICON DESIGN ENGINEER THE ROLE : We are looking for an adaptive, self-motivative design verification engineer to join our growing team. As a key contributor, you will be part of a leading team to drive and improve AMD's abilities to deliver the highest quality, industry-leading technologies to market. The Verification Engineering team furthers and encourages continuous technical innovation to showcase successes as well as facilitate continuous career development. THE PERSON: You have a passion for modern, complex processor architecture, digital design, and verification in general. You are a team player who has excellent communication skills and experience collaborating with other engineers located in different sites/timezones. You have strong analytical and problem-solving skills and are willing to learn and ready to take on problems. KEY RESPONSIBILITIES: Develop/Maintain tests for functional verification and performance verification at the core level Build testbench components to support the next generation IP Maintain or improve current test libraries to support IP level testing Create hardware emulation build to verify the IP functional performance Maintain and improve current hardware emulation environment to speed up the runtime performance and improve the debug facility Provide technical support to other teams PREFERRED EXPERIENCE: Good at C/C++ Familiarity with SystemVerilog and modern verification libraries like UVM Experience/Background on Computing/Graphics is a benefit Experience with OpenGL/OpenCL/D3D programming is a benefit ACADEMIC CREDENTIALS: Bachelors or Masters degree in computer engineering/Electrical Engineering Qualifications: Benefits offered are described: AMD benefits at a glance. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

As a part of Kinara, a Bay Area-based venture backed company with a strong foundation in research at Stanford University, you will play a crucial role in revolutionizing AI solutions to enhance the capabilities of individuals and businesses. Your primary responsibility will involve collaborating closely with customers to support and facilitate embedded application development. By developing software applications that showcase Deep Learning use cases, particularly in vision analytics workloads, you will contribute to the advancement of edge AI technology. Additionally, you will be tasked with creating application notes and documentation on software tool flows, as well as conducting performance and power measurement and analysis of Embedded AI systems. Your role will also include devising communication plans and processes to efficiently prioritize customer issues and features. To excel in this position, you must possess a customer-centric approach with a proven track record of root-cause analysis and problem-solving. A Bachelor's Degree in Computer Science or Electronics, coupled with at least 5 years of experience, is required. Proficiency in building embedded software applications and programming languages such as Python, C, and C++, as well as experience with vision frameworks like OpenCV, gstreamer, and OpenCL, are essential qualifications. Strong problem-solving and communication skills are crucial for success in this role. Furthermore, preferred qualifications include strong analytical and quantitative skills, experience in video/multimedia/image processing software development, and exposure to Neural Networks, AI/ML/DL models, and frameworks like TensorFlow, Caffe, and PyTorch. Familiarity with driver development in Linux, MacOS, or Windows platforms, debugging hardware, and the ability to work independently or in collaborative team environments are advantageous. Joining Kinara means being part of an innovative environment that encourages creativity and growth. With a team of technology experts and mentors guiding passionate professionals, you will have the opportunity to work on challenging projects and share responsibilities. Your unique perspective and skills will be valued as you contribute to shaping the future of AI technology. Take the next step in your career and make a mark with Kinara we are excited to review your application and hear your story.,

GPU programming engineer Experience: 4+ Years Location: Chennai, India Employment Type: Contract role Job Summary We are seeking an experienced GPU Programming Engineer to join our team. In this role, you will focus on developing, optimizing, and deploying GPU-accelerated solutions for high performance machine learning workloads. The ideal candidate has strong expertise in GPU programming across one or more platforms (e.g., NVIDIA CUDA, AMD ROCm/HIP, or OpenCL) and is comfortable working at the intersection of parallel computing, performance tuning, and ML system integration. Key Responsibilities • Develop, optimize, and maintain GPU-accelerated components for machine learning pipelines using frameworks such as CUDA, HIP, or OpenCL • Analyze and improve GPU kernel performance through profiling, benchmarking, and resource optimization. • Optimize memory access, compute throughput, and kernel execution to improve overall system performance on the target GPUs. • Port existing CPU-based implementations to GPU platforms while ensuring correctness and performance scalability. • Work closely with system architects, software engineers, and domain experts to integrate GPU-accelerated solutions. Required Qualifications • Bachelor's or master's degree in computer science, Electrical Engineering, or a related field. • 3+ years of hands-on experience in GPU programming using CUDA, HIP, OpenCL, or other GPU compute APIs. • Strong understanding of GPU architecture, memory hierarchy, and parallel programming models. • Proficiency in C/C++ and hands-on experience developing on Linux-based systems. • Familiarity with profiling and tuning tools such as Nsight, rocprof, or Perfetto. Preferred Qualifications • Familiarity with cuDNN, TensorRT, OpenCL, or other GPU computing libraries. Document # Click or tap here to enter text. • Exposure to AI/ML workloads, computer vision, or video/image processing. • Experience with multi-GPU programming or heterogeneous computing environments. • Knowledge of OpenACC, SYCL, or other directive-based programming models is a plus.

Project description This is a great opportunity to work as a part of a highly regarded team to deliver leading-edge solutions. We are looking for an experienced engineer for an exciting role to augment our Client's core Linux-embedded team to work on the latest platforms and software. The person will interact closely with key technical experts to ensure the best possible performance and results on the SoC platforms. ResponsibilitiesDeveloping and optimizing GFX, Multimedia, Display, and Audio drivers according to project requirements. Collaborating with cross-functional teams for seamless integration of drivers. Conducting thorough testing, troubleshooting, and debugging of drivers. Contributing to the improvement and optimization of existing systems. Providing technical guidance and support as needed. SkillsMust have 1.Engineer with 3-8 Years of experience in embedded Linux driver/kernel development. 2.Strong C development skills. 3.Experience with any one of the driver development domain Graphics driver DRM/KMS, OpenGL, Vulkan, OpenCL, Mesa. Multi Media-Video driver Vaapi, vdpau, gstreamer, v4l2. Power Management System to RAM, S0ix3. Display Driver development X, Wayland, Weston, Display driver Experience with Audio sub-systems, Audio drivers, frameworks and ALSA SOC(ASOC), Audio protocols like I2S/TDM. Proficient in Yocto development. Virtualization Xen, KVM, QNX hypervisor knowledge. Ethernet Driver Network driver development. 4.Good working experience with IPC, DMA driver development. 5.Experience with kernel mode driver programming in Linux 6.Linux Device driver programming experience in Linux Kernel and Drivers. 7.Experience dealing with Linux community and Open Source contribution is a plus 8.System knowledge, System Debugging Nice to have Expertise with CAR Framework Automotive experience

Job Information Job Opening ID ZR_172_JOB Industry Semiconductor Date Opened 09/05/2025 Job Type Full time Work Experience 4 -7 years City Bangalore State/Province Karnataka Country India Zip/Postal Code 560068 Job Description Title: Embedded Linux Development Engineer Experience: 4–7 Year s Notice Period: Immediate or less than 30 days No.of Positions: 2 Mandatory Skills: 1. Engineer with 4–7 years of experience in embedded Linux driver/kernel development. 2. Strong C development skills. 3. Experience with any one of the driver development domains: Graphics driver – DRM/KMS, OpenGL, Vulkan, OpenCL, Mesa. Multi Media – Video driver – Vaapi, vdpau, gstreamer, v4l2. Power management – System to RAM, S0ix3. Display Driver development – X, Wayland, Weston, Display driver. Experience with Audio sub-system, Audio drivers, frameworks and ALSA SOC (ASOC), Audio protocols like I2S/TDM. Proficient in Yocto development. Virtualization – Xen, KVM, QNX hypervisor knowledge. Ethernet Driver – Network driver development. 4. Good working experience with IPC, DMA driver development. 5. Experience with kernel mode driver programming in Linux. 6. Linux Device driver programming experience in Linux Kernel and Drivers. 7. Experience dealing with Linux community and Open Source contribution is a plus. 8. System knowledge, System Debugging. Keywords: Linux Kernel Driver, Device Driver, Linux Graphics Driver, DRM/KMS, Video driver, Vaapi, V4L2, Audio DSP, I2S/TDM, Ethernet Driver, Virtualization, Vulkan, Mesa, OpenCL, OpenGL, RTOS

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 Description Contribute to OpenCL enablement via RustiCL for compute-class GPUs. Work on integration with Mesa and validation of CI pipelines. Support performance tuning for AI/ML and compute workloads on Linux platforms. Responsibilities Implement and maintain RustiCL support. Integrate with Freedreno and Turnip pipelines. Validate CI and upstream compliance. Optimize compute performance for Linux workloads. Required Skills Strong C/C++ programming skills. Experience with Rust and OpenCL. Solid understanding of Linux OS and CI workflows. Familiarity with Mesa and GPU compute stacks. Minimum Experience B.Tech + 2 years or M.Tech in compute or graphics software development. 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.