✦ Luna Orbit — Cloud & Infrastructure

Performance Infrastructure Engineer- Data Center GPU

at Advanced Micro Devices

📍 Santa Clara, California, United States Unknown Posted March 17, 2026
Type Full-Time
Experience mid
Exp. Years 3+ years
Education Not specified
Category Cloud & Infrastructure

This role involves developing scalable automation and performance analysis solutions for GPU workloads in data centers, focusing on AI and machine learning performance optimization.

  • Lead automation development
  • Assess and improve infrastructure
  • Design performance tooling
  • Collaborate with teams
  • Optimize ML workload execution

The technical environment includes Python, Linux, build tools like Make, Bash scripting, and workflow orchestration platforms, supporting AI and GPU performance workloads.

The ideal candidate is a mid-level infrastructure engineer with strong Python development skills, experience in Linux system administration, and expertise in building scalable automation solutions for GPU workloads and performance analysis.

Python developmentLinux system administrationbuild toolchain expertiseworkflow orchestration platforms
JenkinsGithubAnsibledistributed compute workloadsperformance analysis
GithubJenkinsAnsible
PythonLinuxbuild toolchainworkflow orchestrationBashMakenetworking protocolsserver hardware
PythonLinux system administrationbuild toolchainworkflow orchestrationBashMakenetworking protocolsserver hardware
problem-solvingcritical thinkingself-startercommunicationadaptabilitycollaboration
Industry Semiconductors & Chip Manufacturing
Job Function Build and maintain scalable automation and performance analysis infrastructure for GPU workloads
Role Subtype Infrastructure Engineer
Tech Domains Linux, Python, Networking / TCP-IP
Performance Infrastructure EngineerPythonLinuxworkflow orchestrationdistributed workloadsGPUAI workloadsperformance analysisautomation toolingMakeBashnetwork protocolsserver hardwareJenkinsGithubAnsibledistributed compute workloads

Lack of Python or Linux experience, No experience with workflow orchestration platforms, No GPU or AI workload background

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