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HPC Systems Engineer - AI Workloads

AMD· Engineering
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San Jose, CA$173.6kFull-timePosted 1mo ago

About the role

AI Systems Engineer responsible for designing, developing, and administering HPC infrastructure, GPU clusters, and AI workload schedulers within AMD’s IT compute platforms engineering team.

Responsibilities

  • Develop, implement, and maintain GPU-based clusters, ensuring optimal performance
  • Administer ML/AI platforms – Distributed ML services, LLMs and AI inferencing, by managing deployments, resource allocation, monitoring, and security.
  • Automate system provisioning and Cluster management end to end
  • Collaborate with cross-functional teams to address AI infrastructure requirements, support AI-related projects, and provide technical expertise.
  • Monitor and evaluate the performance of AI systems and clusters, ensuring that they adhere to industry best practices and meet company standards.
  • Use AI/ML to continuously improve internal processes and tools that are used in end-to-end delivery of your services in this team

Qualifications

  • Bachelor's or master's degree in computer science or computer engineering preferred.

Skills

Required:HPC infrastructure engineeringSLURM and KubernetesGPU cluster management
Nice to have:PythonWeb services with HPC backendRoCEv2, Kubernetes, KVM, Ubuntu, Python, ShellAI workload schedulers and allocation optimizationAutomation/monitoring tools

Benefits

  • Benefits offered are described: AMD benefits at a glance (link provided)
Last updated Oct 22, 2026. Interested? Apply on the company site.
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AMD delivers leadership high-performance and adaptive computing solutions to advance data center AI, AI PCs, intelligent edge devices, gaming, & beyond.

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