GPU Software Engineer - GPU Libraries

Advanced Micro Devices, Inc•UNAVAILABLE, California

3d•Hybrid

About The Position

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.

Requirements

Strong technical engineer who thrives in complex, evolving environments.
Hands-on experience enabling software on GPUs and comfortable working across abstraction layers — from architecture concepts to implementation and debugging.
Enjoys collaborating with hardware, firmware, and software teams.
Effective at translating architectural ideas into practical software solutions.
Seeks clarity, learns quickly from early data, and contributes constructively when requirements are incomplete.
Motivated to expand architectural scope over time.

Nice To Haves

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.

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.