Principal Engineer Inference Stack

Advanced Micro Devices, IncSanta Clara, CA
1dHybrid

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. THE ROLE: AMD is looking for a strategic software engineering lead who is passionate about improving the performance of key applications and benchmarks. 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. THE PERSON: The ideal candidate should be passionate about software engineering and possess leadership skills to drive sophisticated issues to resolution. Able to communicate effectively and work optimally with different teams across AMD.

Nice To Haves

  • Expertise in the K8s ecosystem, especially as it pertains to large scale inference
  • Operational experience with atleast one of sglang, or vllm and with kserve, llm-d. Experience running inference as a service can be substituted in-lieu of experience with frameworks such as kserve or llm-d.
  • Expertise with techniques used to optimize inference like distributed kv-cache, disaggregation, request scheduling etc
  • Ability to write high quality code with a keen attention to detail. Preferred languages are go and python.
  • Experience with modern concurrent programming
  • Effective communicatior with keen attention to detail.
  • Prior experience roadmapping deeply technical areas is highly valuable.

Responsibilities

  • Develop techniques for optimizing scale-up and scale-out inference.
  • Develop methods and tooling to utilize dynamic resources in service of inference
  • Support proliferation of rocm ecosystem.

Benefits

  • AMD benefits at a glance.
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