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:
AMD is looking for a GPU compiler engineer to go deep on GPU compilers and performance within the ROCm Execution Provider (EP), which runs large language and vision models on AMD GPUs through ONNX Runtime. You will be a member of a core team of incredibly talented industry specialists and will work with the very latest hardware and software technology, implementing and optimizing operator lowerings and helping us run on more AMD GPU targets..
THE PERSON:
The ideal candidate should be passionate about software engineering and possess the drive to take sophisticated issues to resolution. Able to communicate effectively and work optimally with the GPU compiler, MLIR, and kernel teams across AMD.
KEY RESPONSIBILITIES:
- Work with AMD's architecture specialists to improve future products
- Implement and unit-test ONNX operator lowerings in MLIR
- Apply a data-minded approach to close per-operator performance gaps versus competitive runtimes
- Stay informed of software and hardware trends and innovations, especially pertaining to algorithms and architecture
- Design and develop new groundbreaking AMD technologies
- Participating in new ASIC and hardware bring ups
- Debug and fix existing issues and research alternative, more efficient ways to accomplish the same work
- Develop technical relationships with peers and partners
PREFERRED EXPERIENCE:
- Strong object-oriented programming background, C/C++ preferred
- Ability to write high quality code with a keen attention to detail
- Working knowledge of MLIR or LLVM and GPU or parallel programming
- HIP / CUDA, ONNX / ONNX Runtime, and performance profiling and optimization is a plus
- Experience with Windows and Linux development; familiarity with debuggers, source code control systems (GitHub), and profilers
- Familiarity with AI coding agents / assistants and a desire to use them to improve efficiency (preferred)
- Working proficiency in English
- Effective communication and problem-solving skills
ACADEMIC CREDENTIALS:
- Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent
- #LI-JW2
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.
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