What are the responsibilities and job description for the Lead Engineer, GPU AI Compute Architecture position at Advanced Micro Devices, Inc?
WHAT YOU DO AT AMD CHANGES EVERYTHING
We care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences – the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the world’s most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives.
AMD together we advance_
THE ROLE:
AMD is looking for an influential engineer working on software and hardware co-design. You will be a founding member of a core team of incredibly talented industry specialists and will define the future of hardware and software AI compute solutions.
THE PERSON:
Ideal candidates should possess a "Just-Do-It" mindset and strong motivation. They must be driven to understand the status quo and explore better solutions using first-principles thinking. Experience is highly preferred in end-to-end development of startup/GPU AI hardware, including programming models, GPU microarchitectures, tapeout, and bring-up.
KEY RESPONSIBILITIES:
- Collaborate with AMD architecture engineers on GPU software and hardware design decisions
- Co-optimize AI workloads on current and next-generation GPUs
- Contribute to client projects and open-source AI frameworks, driving features and adoption
- Design and develop new technologies for future compute platforms
- Participate in new hardware bring-up and validation
- Build strong technical relationships with peers and partners
PREFERRED EXPERIENCE:
- Deep AI infrastructure experience with open-source frameworks (e.g., SGLang, vLLM)
- Strong kernel optimization skills using DSLs and HIP (or CUDA), plus PTX/SASS equivalents
- Hands-on knowledge of modern GPU architectures
- Demonstrated open-source contributions on GitHub
- Motivational leadership and excellent interpersonal skills
ACADEMIC CREDENTIALS
Bachelor's, Master's, or Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field
Proven track record of technical excellence, demonstrated through top-tier publications, patents, or high-impact open-source contributions (e.g., GitHub repositories)
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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.
