GPU AI Compute Architecture Engineer

Advanced Micro Devices, Inc • San Jose, CA

7h • 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. 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.

Requirements

• possess a "Just-Do-It" mindset and strong motivation.
• driven to understand the status quo and explore better solutions using first principles of thinking.
• Bachelor's, Master's, or Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field.

Nice To Haves

• Experience is highly preferred in end-to-end development of startup/GPU AI hardware, including programming models, GPU microarchitectures, tapeout, and bring-up.
• 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 architecture.
• Demonstrated open-source contributions on GitHub.
• Motivational leadership and excellent interpersonal skills.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 5,001-10,000 employees