Performance Infrastructure Engineer- Data Center GPU
Role details
Job location
Tech stack
Job description
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., * 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., AMD may use Artificial Intelligence to help screen, assess or select applicants for this position. AMD's "Responsible AI Policy" is available here.
Requirements
You have 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., * Strong development experience in Python and/or Bash (or equivalent scripting languages).
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Experience with Github, Jenkins, or similar CI/CD and code review systems.
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Linux system administration experience preferred.
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Experience developing automated test infrastructure and orchestrating multisystem workflows is preferred. Ansible experience is a bonus.
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Strong analytical, problem solving, and debugging skills
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Excellent communication skills; must be a critical thinker and self-starter.
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Ability to quickly learn and apply new tools, technologies, and frameworks.
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Networking experience preferred, including common protocols and basic debugging.
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Experience with Docker/containers and/or virtualization technologies preferred
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Motivating leader with good interpersonal skills, * * 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.
Benefits & conditions
$192,000.00/Yr.-$288,000.00/Yr.