Performance Infrastructure Engineer- Data Center GPU

Advanced Micro Devices, Inc•Santa Clara, CA

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. You will be part of a small, but dedicated team driving discrete GPU products’ performance attainment solutions across hardware, software and the platform. We are seeking a highly skilled engineer to join our Infrastructure team, focused on building scalable solutions for workload automation and performance analysis supporting advanced machine learning workloads.

Requirements

Strong backgrounds in Python development, Linux system administration, and build toolchain expertise.
You have experience building or using internal workflow orchestration platforms to manage and execute distributed or multi-system compute workloads
You have familiarity with server hardware, networking protocols, and mixed hardware/software environments
You can adapt quickly to new tools and technologies and apply them effectively.
You can manage multiple tasks, priorities, and release cycles in parallel.
Bachelor’s degree in a Computer Engineering/Computer Science field with 9+ years of hands-on experience, or a Master’s degree with 7+ years of relevant experience.

Nice To Haves

Strong development experience in Python and/or Bash (or equivalent scripting languages).
Experience with Github, Jenkins, or similar CI/CD and code review systems.
Linux system administration experience preferred.
Experience developing automated test infrastructure and orchestrating multisystem workflows is preferred. Ansible experience is a bonus.
Strong analytical, problem solving, and debugging skills
Excellent communication skills; must be a critical thinker and self-starter.
Ability to quickly learn and apply new tools, technologies, and frameworks.
Networking experience preferred, including common protocols and basic debugging.
Experience with Docker/containers and/or virtualization technologies preferred
Motivating leader with good interpersonal skills

Responsibilities

Technical team lead for a team of 5-6 engineers
Assess and understand the current automation and performance analysis infrastructure, identifying strengths, gaps, and opportunities for improvement.
Collaborate with internal teams to gather technical requirements and understand evolving needs.
Develop a forward looking plan that balances reusing existing systems with building new infrastructure where appropriate.
Design, develop, and maintain automation and performance analysis tooling using Python, Bash, Make, and related technologies.
Build and enhance workflow automation solutions using internally developed tools to orchestrate ML workloads.
Develop new techniques and tooling to optimize ML workload execution, profiling, and analysis at scale.