HPC and AI (PhD) - Engineer

AMD
Austin, Santa Clara
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Education: mastersSkills: ["Teamwork","Collaboration","Innovation","Fast-paced execution","Performance optimization focus"]

Lead enablement and optimization of HPC and AI solutions on AMD EPYC processors, applying deep x86 architecture expertise to performance tuning and production-level cluster deployments. Collaborate with product, marketing, and silicon development teams to drive performance optimization, competitive analysis, and end-customer application optimization. Use system profiling tools to interpret perf metrics and optimize code in large CPU/GPU-focused HPC code bases.

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FursaFursa
AMD
AMD
1 week ago

HPC and AI (PhD) - Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 5 hours agoStatus: Live

Job Summary

Lead enablement and optimization of HPC and AI solutions on AMD EPYC processors, applying deep x86 architecture expertise to performance tuning and production-level cluster deployments. Collaborate with product, marketing, and silicon development teams to drive performance optimization, competitive analysis, and end-customer application optimization. Use system profiling tools to interpret perf metrics and optimize code in large CPU/GPU-focused HPC code bases.
Location: Austin, Santa Clara
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)
Seniority: Mid level

Key Responsibilities

  • •Lead enablement and optimization of HPC and AI solutions on AMD EPYC processors.
  • •Optimize and tune software for performance on AMD platforms.
  • •Deploy and support HPC applications and AI frameworks/models on production-level clusters.
  • •Collaborate with product, marketing, and silicon teams on performance optimization and competitive analysis.
  • •Optimize and showcase AMD product capabilities through advanced software and solutions for end-customer applications.

Key Requirements

  • •Deep expertise in x86 computing architecture.
  • •Experience optimizing and tuning software at the code level.
  • •Strong familiarity with system-level profiling tools (uProf/Vtune) and performance metrics interpretation.
  • •Hands-on knowledge of HPC applications and AI frameworks/models deployed on production-level clusters.
  • •MS or PhD in Computer Science (or related equivalent).
Experience:HPCAIProduction clusters
Education:Master's in Computer Science
Skills:TeamworkCollaborationInnovationFast-paced executionPerformance optimization focus
Languages:En-us
Tech Stack:X86 architectureHPCAIAI frameworksAI modelsProduction clustersAMD EPYCUProfVtuneCPU/GPUSystem profilingClaudeCurser

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

AMD
Designs and produces semiconductor products including CPUs, GPUs, and adaptive SoCs for consumer, enterprise, and embedded markets, competing across PCs, data centers, and gaming industries.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1969
Glassdoor
Glassdoor: 3.9
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