Opensource Al workload Software Engineer

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THE ROLE:
AMO is looking for an influential engineer to optimize Al workload running on AMO GPUs. You will be a founding member of a core team of exceptionally talented industry specialists to define the future of Al computing 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 the first principles of thinking. Hands-on experience with state-of-the-art LLM inference and training at both the framework and kernel levels is highly preferred.

KEY RESPONSIBILITIES:
Improve AMO GPU performance on open-source repositories for LLM workloads such as vLLM and SGLang.
Co-optimize Al workloads on current AMO GPUs by analyzing the bottlenecks and mitigating them at the kernel level.
Integrate AMO software stacks (RoCm, ATen) intoopen-sourceframeworks 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.

PREFERRED EXPERIENCE:
Deep Al 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.

ACADEMIC CREDENTIALS
Bachelor's, Master's, or Ph.D. in Computer Engineering, Computer Science, Electrical Engineering, or a related technical field

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This posting is for an existing vacancy.