GPU Software Engineer - GPU Libraries

Socket.dev; California (MO); Hybrid; USD 180,000 - 230,000; Full time

Job summary

AMD in San Jose, CA, invites a Senior Member of Technical Staff to advance ROCm GPU libraries strategy and execution. You will work with engineers and applied mathematicians on high-performance computing and machine learning workloads, shaping software that spans architecture to implementation.

You will collaborate across teams, design and deliver critical library capabilities, mentor staff, and drive performance-oriented software that aligns with roadmap commitments in a hybrid work setup.

Qualifications

• Hands-on C++ with CUDA/HIP/OpenMP/MPI/OpenCL for GPUs and CPUs.
• Familiarity with Python and AI/ML frameworks.
• Experience with open-source software development and agile methods.

Responsibilities

• Design, implement, validate, and deliver key software library capabilities across ROCm ecosystem.
• Guide technical execution and contribute to architecture and documentation efforts.
• Collaborate with senior staff to develop optimal designs considering performance and roadmap commitments.
• Mentor junior staff and promote best practices in agile environments.

Skills

C++

CUDA

HIP

OpenMP

MPI

OpenCL

Python

AI/ML frameworks

Education

Master's degree or higher

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

As Senior Member of Technical Staff in the GPU Libraries group, you will help advance the strategy and execution across libraries that are part of the AMD Radeon Open Ecosystem (ROCm) ecosystem. As part of the larger ROCm libraries teams, you will work cross-functionally with a team of talented computer scientists, software developers, and applied mathematicians working on GPU libraries for high performance computing 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.

• Proactively identifies gaps 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 and champion internal best-practices as part of the regular software development lifecycle in an agile environment.

PREFERREDEXPERIENCE

• Hands-on experience with C++, with relevant applied experience using CUDA, HIP, OpenMP, MPI, or OpenCL for accelerated computing on CPUs and GPUs. Familiarity with other programming languages like Python and AI/ML Frameworks.

• Experience contributing to technical and high-performance software systems supported by continuous improvement, regression and performance management systems, and software deployment and orchestration management (Jenkins/Docker/Kubernetes/numerical methods and analysis).

• Experience with open-source software development including collaboration with community maintainers and submitting contributions, 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. or M.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 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.