GPU Software Engineer - GPU Libraries

AMD; San Jose (CA); Hybrid; USD 180,000 - 250,000; Full time

Job summary

AMD is seeking a Senior Member of Technical Staff in the GPU Libraries group based in San Jose, CA. You will work on strategies and execution across ROCm libraries, collaborating with computer scientists, software developers, and applied mathematicians on HPC and ML workloads.

You should bring strong C++ and GPU programming background, with experience in CUDA/HIP/OpenCL, and be comfortable across architecture to deployment, mentoring, and agile processes within a collaborative environment.

Qualifications

• Advanced degree preferred for research and system-level work.
• Experience enabling software on GPUs and understanding CPU/GPU interaction.
• Strong programming skills in C++ and CUDA with exposure to HPC challenges.

Responsibilities

• Collaborate across library teams to design and deliver core software library capabilities for ROCm.
• Guide technical execution and contribute to roadmaps across scalable GPU libraries.
• Mentor junior staff and promote best practices in the software lifecycle.

Skills

C++

CUDA

HIP

OpenMP

MPI

OpenCL

Python

AI/ML

Agile

Education

MSc/MEng preferred

Tools

Jenkins

Docker

Kubernetes

Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING

At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. When you join AMD, you’ll discover the real differentiator is our culture. We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives. Join us as we shape the future of AI and beyond. Together, we advance your career.

THE ROLE

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.

THE PERSON

You are a strong technical engineer who thrives in complex, evolving environments. You have hands‑on 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.

KEY RESPONSIBILITIES

• 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.

PREFERREDEXPERIENCE

• 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
  

LOCATION

San Jose, CA

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This role is not eligible for visa sponsorship.

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.

AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD’s “Responsible AI Policy” is available here.

This posting is for an existing vacancy.