Opensource Al workload Software Engineer

Advanced Micro Devices, Inc • San Jose, CA

1d • Hybrid

About The Position

At AMD, the mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems. The company is grounded in a culture of innovation and collaboration, believing real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary. Joining AMD means discovering a culture that pushes 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. The role involves being an influential engineer to optimize AI workloads running on AMD GPUs. This position is a founding member of a core team of exceptionally talented industry specialists tasked with defining the future of AI computing solutions.

Requirements

• Possess a "Just-Do-It" mindset and strong motivation.
• Driven to understand the status quo and explore better solutions using the first principles of thinking.
• Deep AI infrastructure experience with open-source frameworks (e.g., SGLang, vLLM, Jax, XLA, Pytorch, Triton).
• 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.
• Bachelor's, Master's, or Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field.

Nice To Haves

• Hands-on experience with state-of-the-art LLM inference and training at both the framework and kernel levels.

Responsibilities

• Improve AMD GPU performance on open-source repositories for LLM workloads such as vLLM and SGLang.
• Co-optimize AI workloads on current AMD GPUs by analyzing the bottlenecks and mitigating them at the kernel level.
• Integrate AMD software stacks (RoCm, ATen) into open-source frameworks such as Pytorch, JAX, and Triton.
• Build strong technical relationships with peers and partners, and report learnings and gaps to GPU software and hardware engineers.

What This Job Offers

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