9 Rocm Jobs

As a Senior Software Systems Design Engineer, you will deliver our next generation of products in the computer graphics industry 3D Gaming, Display Technologies, Compute, Virtual Reality, etc. In this high visibility position, your systems engineeringexpertisewill be necessary to define products, develop solutions, assess root causes, and produce solution resolutions.As a senior member of theteam,takinginitiativeinmentoringtoachievethe team's goalof on time delivery is expected. KEY RESPONSIBILITIES: Drivetechnical innovation to improve AMD s capabilities across product development and validation, including software tools and script development, technical and procedural methodology enhancement, and various internal and cross-functional initiatives. Responsible for AMD's new GPU/System bring up, ROCm SW stack testing, etc. Responsible for quality and performance timeliness of result for a portion of project/process. Contribute to Improve overall process, quality of products. Be involved in the automation of manual test cases and work closely with automation infrastructure. Executing white box, black box, and regression tests for existing ROCm features. Responsible for quality and timeliness of result for a portion of project/process. Make more complex technical decisions independently. Implement checks and balances independently to minimize the impact of mistakes. Leadcollaborative approaches with multiple teams. Mentorothers to achieve integrated projects. PREFERRED EXPERIENCE: Good understanding of test lifecycle, QA process terminology. Strong knowledge of Device drivers, graphics, multimedia, Codec. Test Execution Experience in an automation lab with multiple systems. Define, develop, execute functional/performance/load tests, and integrate them with automated test systems. Establishing and sharing best practices, designing, and executing a robust test strategy. Proficiency in at least one programming language preferably Python. Strong understanding Hands-on exp. with Linux OS internals, device manager. Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level. Strong understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS VBIOS. Understanding of parallel programming. ROCm or CUDA is a plus. Understanding machine learning, artificial intelligence, computer vision technologies is a plus. Strong analysis, problem-solving interpersonal skills. Good verbal written communication skill is a must. Good attitude, result-driven ability to deliver on next-gen technology. Knowledge of KVM/XEN/VMWARE is a plus ACADEMIC CREDENTIALS: Bachelors or master s degree in electrical or computer engineering. Masters degree preferred.

HPC System Administration & Troubleshooting: Manage and optimize HPC clusters, ensuring high availability and performance. Troubleshoot GPU, CPU, network drivers, firmware, and OS-level issues. Debug storage, networking, and job scheduling bottlenecks in Slurm-based environments. Kubernetes & Cloud HPC Environments: Deploy and manage HPC workloads in Kubernetes for AI/ML and parallel computing. Optimize OpenStack-based HPC clusters with Ceph, Cinder, and Neutron for cloud scalability. Implement containerized HPC workflows using Kubernetes and OpenShift. Automation & Infrastructure as Code (IaC): Develop Ansible and Terraform scripts for provisioning and managing HPC resources. Automate job scheduling, cluster monitoring, and log analysis using Python. Optimize CI/CD pipelines for HPC and AI/ML applications. Performance Tuning & Benchmarking: Benchmark and optimize multi-node HPC workloads (MPI, NCCL, ROCm, CUDA). Tune OS parameters, networking (InfiniBand, RoCE), and Slurm configurations for peak performance. Enhance HPC storage performance (Ceph, Lustre, NFS) and distributed computing efficiency. Client Support & Collaboration: Provide real-time technical support and troubleshooting for HPC users. Engage with developers, DevOps, and system administrators to optimize cluster performance. Document solutions, best practices, and contribute to internal knowledge bases. PREFERRED QUALIFICATIONS: Experience with AMD MI300, MI2X0 GPUs, ROCm, MPI, UCX, or XPMEM. Exposure to containerized workloads using Singularity or Docker in HPC. Familiarity with OpenStack deployment automation (e.g., TripleO, Kolla, or OpenStack-Ansible). Experience in customer-facing technical roles, with a strong ability to troubleshoot live issues.

General Overview Job Title: Staff Engineer, Software Functional Area: Engineering (ENG) Career Stream: Design - Software Engineering Job Code: SEN-ENG-DSE Job Band: 10 Direct/Indirect Indicator: Indirect Summary The Staff Engineer, Software develops, debugs, tests, deploys and supports code to be deployed in systems/products/equipment for various applications. They write, debug, maintain, and test software in various common languages and for software at various levels in the hierarchy (from Firmware to Application). Software creation follows an agreed to development process (such as Agile, Scrum, etc.) and complies with the product life cycle development (phase/gate deliverables). The Staff Engineer, Software works in cross functional teams with other designers, customers, manufacturing engineering and project leadership to ensure robust and high quality product development. Enhance designs with feedback from reviews in areas such as manufacturing, test, supply chain, reliability, industrial design and simulations. Detailed Description Provides technical leadership to the compute team team Develops and reviews Linux device drivers (I2C, SPI, LPC, PCIE etc.) and diagnostic firmware for manufacturing tests and for extended testing at assembly and deployment locations Releases the documents work according to procedures and the design specification to the team. Manages the software change by using software revision control and issue tracker tools. Participates in technical discussion, review of other team members artifacts, code etc Knowledge/Skills/Competencies Strong programming skills:Proficiency in C, C++, P4 and other low-level programming languages Hardware experience:Familiarity with main elements of CPU, DPU, memory, NICs, board monitoring elements is a must Experience with GPU programming:Prior experience with GPU libraries like CUDA and ROCm Networking knowledge:Deep understanding of networking protocols (TCP/IP, Ethernet, etc.) and concepts Debugging and testing skills:Ability to identify and resolve software and hardware issues. Problem-solving skills:Strong analytical and problem-solving abilities Experience with SmartNICs:Prior experience developing software for SmartNICs and understanding of cloud computing architectures and services is the plus Clear Communication: Proven ability to articulate requirements and vision to large and diverse audience through written documents like architecture specifications and verbal presentations in technical forums is required. Physical Demands Duties of this position are performed in a normal office environment. Duties may require extended periods of sitting and sustained visual concentration on a computer monitor or on numbers and other detailed data. Repetitive manual movements (e.g., data entry, using a computer mouse, using a calculator, etc.) are frequently required. Occasional travel may be required. Typical Experience 10 to 15 years Typical Education Bachelor degree or consideration of an equivalent combination of education and experience. Educational Requirements may vary by Geography Notes This job description is not intended to be an exhaustive list of all duties and responsibilities of the position. Employees are held accountable for all duties of the job. Job duties and the % of time identified for any function are subject to change at any time.

Qualcomm India Private Limited is a leading technology innovator in the Engineering Group, specifically in Systems Engineering. As a Qualcomm Systems Engineer, you will be involved in researching, designing, developing, simulating, and validating systems-level software, hardware, architecture, algorithms, and solutions to drive the development of cutting-edge technology. Collaboration across functional teams is essential to meet and exceed system-level requirements and standards. To qualify for this role, you should possess a Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with at least 8 years of experience in Systems Engineering. Alternatively, a Master's degree with 7+ years of experience or a Ph.D. with 6+ years of experience in the same field is also acceptable. Currently, Qualcomm is seeking a Principal AI/ML Engineer with expertise in model inference, optimization, debugging, and hardware acceleration. The role focuses on building efficient AI inference systems, debugging deep learning models, optimizing AI workloads for low latency, and accelerating deployment across various hardware platforms. In addition to hands-on engineering tasks, the role also involves cutting-edge research in efficient deep learning, model compression, quantization, and AI hardware-aware optimization techniques. The ideal candidate will collaborate with researchers, industry experts, and open-source communities to enhance AI performance continuously. The suitable candidate should have a minimum of 20 years of experience in AI/ML development, with a focus on model inference, optimization, debugging, and Python-based AI deployment. A Master's or Ph.D. in Computer Science, Machine Learning, or AI is preferred. Key Responsibilities of this role include Model Optimization & Quantization, AI Hardware Acceleration & Deployment, and AI Research & Innovation. The candidate should have expertise in optimizing deep learning models, familiarity with deep learning frameworks, proficiency in CUDA programming, and experience with various ML inference runtimes. Qualcomm encourages applicants from diverse backgrounds and is an equal opportunity employer. The company is committed to providing reasonable accommodations to individuals with disabilities during the hiring process. It is vital for all employees to adhere to applicable policies and procedures, including those related to confidentiality and security. Qualcomm does not accept unsolicited resumes or applications from staffing and recruiting agencies. For further information about this role, interested individuals may reach out to Qualcomm Careers.,

Key Responsibilities Establish and maintain high-quality standards by defining QA best practices and promoting a culture of accountability across development teams. Utilize your hands-on development knowledge to design integrated validation strategies that align with overall project goals. Collaborate directly with engineers, ensuring they deliver high-quality code that complies with established test coverage and CI/CD best practices. Define, monitor, and enforce high standards for unit test (UT) code coverage, ensuring that all critical functionalities are thoroughly validated. Oversee the execution of high-level functional tests, ensuring that software features and end-to-end user scenarios operate seamlessly. Drive the validation efforts for Software Development Kits (SDKs) by designing comprehensive test cases and testplans to verify functionality, performance, compatibility, and integration. Conduct regular audits of the Continuous Integration (CI) pipeline, ensuring that all code undergoes rigorous automated testing and validation before integration. Facilitate clear communication among development, QA, and product teams; provide actionable insights to continuously improve product quality. Work closely with the Test Content Team to align on test content strategies and ensure the execution aligns with product requirements. Actively participate participate in design and code reviews from a QA perspective to ensure quality is embedded in every stage of product development. Use your development and debugging expertise to assist in troubleshooting complex issues alongside the development teams. Apply your knowledge and experience in AI/ML to validate data models, performance, and integration within relevant projects. Excellent communication and leadership skills, with the capability to bridge efforts across development and QA teams to ensure quality and timely project delivery. Identify, propose, and implement process improvements to reduce the cycle time of testing phases and improve product quality. Serve as a trusted advisor to your peers and junior QA engineers, fostering a culture of accountability, quality, and continuous learning. Requirements Bachelor s or master s degree in computer science, Engineering, or a related field with 12+ yrs of related experience Demonstrated hands-on development expertise with practical experience in coding, debugging, and designing validation strategies. Deep understanding and experience with unit testing frameworks (such as JUnit, NUnit, LCOV, or similar code coverage tools). Extensive knowledge of CI/CD pipelines, unit testing frameworks, automated testing tools, and functional testing methodologies. Strong proficiency in SDK development and validation proven ability to create and execute comprehensive test strategies that ensure robust and reliable APIs and libraries. In-depth understanding of AI/ML concepts and practical testing experience in data-driven, machine learning environments. Exposure to advanced test automation frameworks and willingness to explore new testing paradigms involving AI/ML and GPU-optimized processes. Hands-on experience working with GPU environments and optimizing tests for performance on hardware-accelerated systems. Strong proficiency in working within Linux environments (Ubuntu, CentOS, etc.). Familiarity with GPU computing technologies (e.g., ROCm, CUDA, OpenCL) for performance-critical applications. Demonstrable expertise with Docker containerization practices. Exposure to additional container orchestration tools like Kubernetes. Prior experience with AI/ML frameworks such as TensorFlow or PyTorch.is a plus Advanced scripting and programming skills in languages such as Python, C/C++, or similar Exceptional analytical, problem-solving, and communication skills. A self-driven, detail-oriented mindset with an ability to judiciously hold teams accountable. Comfort working independently in a fast-paced, dynamic environment.

As a Software System Designer 2 at AMD, you will play a crucial role in contributing to the development of next-generation computing experiences across various industries such as data center, artificial intelligence, PCs, gaming, and embedded systems. You will have the opportunity to work with cutting-edge AMD technologies and be a part of a dynamic team that is dedicated to delivering innovative solutions. In this role, you will be responsible for performance analysis and software optimization, building and deploying software for high-performance computing, data science, virtualization, and machine learning platforms. You will also be involved in defining, developing, and executing regression test models, driving innovation in production software environments, and exploring novel approaches to solve complex problems in heterogeneous computing. The ideal candidate for this position is a self-starter with a keen eye for detail and the ability to multitask effectively. You should possess strong communication and presentation skills, along with a passion for pushing the boundaries of software development on innovative platforms. With 3 to 15 years of experience, you should have a good understanding of test lifecycle, QA processes, and terminology. Preferred experience includes knowledge of device drivers, graphics, multimedia, and codecs, as well as proficiency in at least one programming language, preferably Python. Hands-on experience with Linux OS internals, device management, and issue debugging skills are essential. Familiarity with parallel programming languages like OpenCL, ROCm, CUDA, and OpenACC, as well as machine learning and artificial intelligence technologies, is a plus. You should hold a Bachelor's or Master's degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or a related field to qualify for this role. Strong analytical, problem-solving, and interpersonal skills are necessary, along with excellent verbal and written communication abilities. A positive attitude, result-driven mindset, and the ability to work with next-gen technology are key attributes for success in this position. If you are looking to be part of a forward-thinking team at AMD that is dedicated to pushing the boundaries of innovation and technology, this role offers an exciting opportunity to make a meaningful impact in the industry.,

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 worlds most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ SOFTWARE SYSTEM DESIGNER 2 The Role This is an exciting role in which you will have excellent exposure to all the latest AMD (Advanced Micro Devices) technologies. Imagine yourself as part of the team which will deliver our next generation of our products or automation for many of our reference solutions.This is a phenomenal opportunity to work in an outstanding company like AMD. The Person You are a self-starter who is able to achieve successful outcomes in a non-hierarchical environment. Detailed oriented, you have the ability to multitask through planning/organizing. You have excellent communication and presentation skills and a passion to push the limits of software on innovative platforms. Key Responsibilities Performance analysis and software optimization Build and deploy software for the most advanced HPC (High Performance Compute), data science, Virtualization, and machine learning platforms in the world Define/develop/execute regression test models and track the results Drive innovation in production software environments Combine advanced software engineering skills with a drive to explore novel approaches to solve important problems in heterogeneous computing at the large scales Evaluate and review of existing processes and continuously strive to optimize the workflow PREFERRED EXPERIENCE: (3 to 15 years) Good understanding of test lifecycle, QA process & terminology. Strong knowledge of Device drivers, graphics, multimedia, Codec. Test Execution Experience in an automation lab with multiple systems. Define, develop, execute functional/performance/load tests, and integrate them with automated test systems. Establishing and sharing best practices, designing, and executing a robust test strategy. Proficiency in at least one programming language preferably Python. Strong understanding & Hands-on exp. with Linux OS internals, device manager. Hands-on issue debugging skills, issue isolation with Linux kernel, driver module level. Strong understanding of PC hardware, SoC, Chipsets, Graphics cards, BIOS & VBIOS. Understanding of parallel programming, ideally OpenCL, ROCm, CUDA, and OpenACC is a plus. Understanding machine learning, artificial intelligence, computer vision technologies is a plus. Strong analysis, problem-solving & interpersonal skills. Good verbal & written communication skill is a must. Good attitude, result-driven & ability to deliver on next-gen technology. Academic Credentials Bachelors or Masters degree in Electrical Engineering, Mathematics, Computer Science, Engineering, or an equivalent Benefits offered are described: AMD benefits at a glance. ,

Optimize existing GPU implementations for ILT software. Design new GPU-accelerated algorithms for large-scale geometric data handling for ILT. Collaborate with cross-functional teams to ensure seamless integration of GPU features. Lead benchmarking and performance testing initiatives. Stay current on GPU technology trends and design the latest advancements into the system. Work closely with customers and hardware vendors to deliver optimal solutions rapidly. The Impact You Will Have: Enhance the performance and efficiency of ILT software through optimized GPU implementations. Develop innovative GPU-accelerated algorithms that handle large-scale geometric data efficiently. Ensure seamless integration of GPU features into existing Mask Synthesis tools. Lead performance testing to ensure the highest standards of software quality. Drive technological advancements by integrating the latest GPU trends into our systems. Contribute to the rapid manufacturing of new chips by delivering optimal solutions swiftly. What You ll Need: M.S. or Ph.D. in Computer Science or a related field. 6+ years of experience working with GPU-accelerated systems. Proficiency in CUDA, OpenCL, ROCm, or related technologies. Expertise in C++ and Python. Experience in distributed computing environments. Strong troubleshooting and collaboration skills. Who You Are: Innovative and proactive with a keen interest in the latest GPU technologies. Detail-oriented with strong problem-solving skills. Effective communicator who excels in collaborative environments. Dedicated to delivering high-performance solutions and continuous improvement. Adaptable and able to thrive in a fast-paced, dynamic environment

You are a seasoned professional with a passion for GPU-accelerated systems and algorithm optimization With a strong background in computer science and extensive experience in GPU technologies like CUDA, OpenCL, or ROCm, you excel in designing and implementing high-performance solutions Your expertise in C++ and Python, along with your ability to troubleshoot and collaborate effectively, makes you an ideal fit for this role You are proactive, innovative, and always stay abreast of the latest trends in GPU technology Your ability to lead benchmarking and performance testing initiatives showcases your commitment to delivering optimal solutions for cutting-edge ILT software in the EDA industry, What Youll Be Doing: Optimize existing GPU implementations for ILT software, Design new GPU-accelerated algorithms for large-scale geometric data handling for ILT, Collaborate with cross-functional teams to ensure seamless integration of GPU features, Lead benchmarking and performance testing initiatives, Stay current on GPU technology trends and design the latest advancements into the system, Work closely with customers and hardware vendors to deliver optimal solutions rapidly, The Impact You Will Have: Enhance the performance and efficiency of ILT software through optimized GPU implementations, Develop innovative GPU-accelerated algorithms that handle large-scale geometric data efficiently, Ensure seamless integration of GPU features into existing Mask Synthesis tools, Lead performance testing to ensure the highest standards of software quality, Drive technological advancements by integrating the latest GPU trends into our systems, Contribute to the rapid manufacturing of new chips by delivering optimal solutions swiftly, What Youll Need: S 6+ years of experience working with GPU-accelerated systems, Proficiency in CUDA, OpenCL, ROCm, or related technologies, Expertise in C++ and Python, Experience in distributed computing environments, Strong troubleshooting and collaboration skills, Who You Are: Innovative and proactive with a keen interest in the latest GPU technologies, Detail-oriented with strong problem-solving skills, Effective communicator who excels in collaborative environments, Dedicated to delivering high-performance solutions and continuous improvement, Adaptable and able to thrive in a fast-paced, dynamic environment, The Team Youll Be A Part Of: You will be part of a highly skilled and collaborative team focused on developing and optimizing GPU-accelerated algorithms for ILT software Our team works closely with other cross-functional teams, customers, and hardware vendors to ensure the seamless integration of GPU features and the delivery of optimal solutions We are committed to staying at the forefront of technological advancements and driving innovation in the EDA industry, Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs Our total rewards include both monetary and non-monetary offerings Your recruiter will provide more details about the salary range and benefits during the hiring processYou are a seasoned professional with a passion for GPU-accelerated systems and algorithm optimization With a strong background in computer science and extensive experience in GPU technologies like CUDA, OpenCL, or ROCm, you excel in designing and implementing high-performance solutions Your expertise in C++ and Python, along with your ability to troubleshoot and collaborate effectively, makes you an ideal fit for this role You are proactive, innovative, and always stay abreast of the latest trends in GPU technology Your ability to lead benchmarking and performance testing initiatives showcases your commitment to delivering optimal solutions for cutting-edge ILT software in the EDA industry, What Youll Be Doing: Optimize existing GPU implementations for ILT software, Design new GPU-accelerated algorithms for large-scale geometric data handling for ILT, Collaborate with cross-functional teams to ensure seamless integration of GPU features, Lead benchmarking and performance testing initiatives, Stay current on GPU technology trends and design the latest advancements into the system, Work closely with customers and hardware vendors to deliver optimal solutions rapidly, The Impact You Will Have: Enhance the performance and efficiency of ILT software through optimized GPU implementations, Develop innovative GPU-accelerated algorithms that handle large-scale geometric data efficiently, Ensure seamless integration of GPU features into existing Mask Synthesis tools, Lead performance testing to ensure the highest standards of software quality, Drive technological advancements by integrating the latest GPU trends into our systems, Contribute to the rapid manufacturing of new chips by delivering optimal solutions swiftly, What Youll Need: S 6+ years of experience working with GPU-accelerated systems, Proficiency in CUDA, OpenCL, ROCm, or related technologies, Expertise in C++ and Python, Experience in distributed computing environments, Strong troubleshooting and collaboration skills, Who You Are: Innovative and proactive with a keen interest in the latest GPU technologies, Detail-oriented with strong problem-solving skills, Effective communicator who excels in collaborative environments, Dedicated to delivering high-performance solutions and continuous improvement, Adaptable and able to thrive in a fast-paced, dynamic environment, The Team Youll Be A Part Of: You will be part of a highly skilled and collaborative team focused on developing and optimizing GPU-accelerated algorithms for ILT software Our team works closely with other cross-functional teams, customers, and hardware vendors to ensure the seamless integration of GPU features and the delivery of optimal solutions We are committed to staying at the forefront of technological advancements and driving innovation in the EDA industry, Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs Our total rewards include both monetary and non-monetary offerings Your recruiter will provide more details about the salary range and benefits during the hiring processYou are a seasoned professional with a passion for GPU-accelerated systems and algorithm optimization With a strong background in computer science and extensive experience in GPU technologies like CUDA, OpenCL, or ROCm, you excel in designing and implementing high-performance solutions Your expertise in C++ and Python, along with your ability to troubleshoot and collaborate effectively, makes you an ideal fit for this role You are proactive, innovative, and always stay abreast of the latest trends in GPU technology Your ability to lead benchmarking and performance testing initiatives showcases your commitment to delivering optimal solutions for cutting-edge ILT software in the EDA industry, What Youll Be Doing: Optimize existing GPU implementations for ILT software, Design new GPU-accelerated algorithms for large-scale geometric data handling for ILT, Collaborate with cross-functional teams to ensure seamless integration of GPU features, Lead benchmarking and performance testing initiatives, Stay current on GPU technology trends and design the latest advancements into the system, Work closely with customers and hardware vendors to deliver optimal solutions rapidly, The Impact You Will Have: Enhance the performance and efficiency of ILT software through optimized GPU implementations, Develop innovative GPU-accelerated algorithms that handle large-scale geometric data efficiently, Ensure seamless integration of GPU features into existing Mask Synthesis tools, Lead performance testing to ensure the highest standards of software quality, Drive technological advancements by integrating the latest GPU trends into our systems, Contribute to the rapid manufacturing of new chips by delivering optimal solutions swiftly, What Youll Need: S 6+ years of experience working with GPU-accelerated systems, Proficiency in CUDA, OpenCL, ROCm, or related technologies, Expertise in C++ and Python, Experience in distributed computing environments, Strong troubleshooting and collaboration skills, Who You Are: Innovative and proactive with a keen interest in the latest GPU technologies, Detail-oriented with strong problem-solving skills, Effective communicator who excels in collaborative environments, Dedicated to delivering high-performance solutions and continuous improvement, Adaptable and able to thrive in a fast-paced, dynamic environment, The Team Youll Be A Part Of: You will be part of a highly skilled and collaborative team focused on developing and optimizing GPU-accelerated algorithms for ILT software Our team works closely with other cross-functional teams, customers, and hardware vendors to ensure the seamless integration of GPU features and the delivery of optimal solutions We are committed to staying at the forefront of technological advancements and driving innovation in the EDA industry, Rewards and Benefits: We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs Our total rewards include both monetary and non-monetary offerings Your recruiter will provide more details about the salary range and benefits during the hiring process