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# GPU Software Engineer - GPU Libraries

- **Company:** Advanced Micro Devices, Inc.
- **Location:** San Jose, CA, United States
- **Salary:** $152,000.0
- **Contract:** Permanent contract
- **Skills:** Abstraction Layers, Agile Methodology, Artificial Intelligence, Code Review, Nvidia CUDA, Continuous Integration, Microprocessors, Firmware, Machine Learning, OpenMP, Scrum Methodology, Software Engineering, Software Systems, Graphics Processing Unit (GPU), Kubernetes, Free and Open-Source Software, Build Process, Software Coding, Software Version Control, Software Library, Docker, Jenkins, Programming Languages
- **Published:** September 13, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/88316996/1

## About the Role

You are a strong technical engineer who thrives in complex, evolving environments. You have handson experience enabling software on GPUs and are comfortable working across abstraction layers - from architecture concepts to implementation and debugging.You enjoy collaborating with hardware, firmware, and software teams, and you are effective at translating architectural ideas into practical software solutions. You seek clarity, learn quickly from early data, and contribute constructively when requirements are incomplete.You grow influence through technical execution, collaboration, and mentoring, and you are motivated to expand your architectural scope over time., * Hands-on experience withC++,with relevantapplied experience using CUDA, HIP,OpenMP, MPI,or OpenCLfor accelerated computing on CPUs and GPUs.Familiarity with other programming languages like Pythonand AI/MLFrameworks.

 * Experiencecontributing to technical and high-performance software systems supported bycontinuous improvement,regressionand performance managementsystems,andsoftwaredeployment and orchestration management(Jenkins/Docker/Kubernetes/numerical methods and analysis).

 * Experience with open-source software development including collaboration with community maintainers andsubmittingcontributions, and various lifecycle methodologies such as Agile, Scrum, Kanban.

 * Knowledge of professional software engineering practices and best practices for the full software development life cycle including requirements elicitation and analysis, scoping/estimation, coding standards, code reviews, version control, build processes, testing, and continuous integration.

ACADEMIC CREDENTIALS:

 * Advanced degrees, such as M.Sc.orM.Eng.are preferred

## Description

AsSeniorMember of Technical Staff in the GPU Libraries group, you willhelp advance the strategy and execution across libraries that are part oftheAMD Radeon Open Ecosystem (ROCm)ecosystem.As part of the largerROCmlibraries teams,you will work cross-functionally with a team of talented computer scientists, software developers, and applied mathematicians working on GPU libraries forhigh performancecomputing and machine learning workloads., * Work collaboratively across library teams to design, implement,validate, and deliver key software library capabilities, ensuring successful integration with GPU kernels into broader systems. Provides significant technical inputs to the software roadmap.

 * Provides input to architecture, design, and documentation efforts as they arise across teams. Works closely with senior engineering staff to guide technical execution within library teams on broad and complex technical challenges.

 * Collaborate with principal members of staff to develop the best technical designs and approaches that holistically consider constraints, performance, and roadmap commitments. Execute, and report progress against project plans and delivery commitments.

 * Proactivelyidentifiesgaps and inconsistencies at project scope and develops plans to remediate in collaboration with library owners and engineering principal colleagues.

 * Engages in mentorships with senior and principal staff andchampioninternalbest-practicesas part of the regular software development lifecycle in an agile environment., AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.


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