Performance Infrastructure Engineer- Data Center GPU
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: 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. THE PERSON: Strong backgrounds in Python development, Linux system administration, and build toolchain expertise Experience using Conductor to orchestrate multisystem workflows or largescale automation pipelines. Familiarity with server hardware, networking protocols, and mixed hardware/software environments Adapt quickly to new tools and technologies and apply them effectively. Manage multiple tasks, priorities, and release cycles in parallel.
Requirements
- Strong backgrounds in Python development, Linux system administration, and build toolchain expertise
- Experience using Conductor to orchestrate multisystem workflows or largescale automation pipelines.
- Familiarity with server hardware, networking protocols, and mixed hardware/software environments
- Adapt quickly to new tools and technologies and apply them effectively.
- Manage multiple tasks, priorities, and release cycles in parallel.
Nice To Haves
- Strong development experience in Python and/or Bash (or equivalent scripting languages).
- Experience with git, Gerrit, Jenkins, or similar CI/CD and code review systems.
- Linux system administration experience preferred.
- Experience developing automated test infrastructure and orchestrating multisystem workflows (Conductor experience strongly preferred).
- Strong analytical, problemsolving, 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
Responsibilities
- 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 forwardlooking 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 Conductor to orchestrate distributed or multisystem ML workloads.
- Develop new techniques and tooling to optimize ML workload execution, profiling, and analysis at scale.
Benefits
- AMD benefits at a glance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
