2027 PhD HPC & Sovereign AI Center of Excellence Intern/Co-op

AMD
Austin
Workplace: HybridInternshipUSD 91,520 - 137,280 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: ["Performance analysis","Problem-solving","Attention to detail","Technical analysis"]

Work on research at the intersection of high-performance computing (HPC) and AI, optimizing AI workloads for large-scale GPU-accelerated systems. Build, run, and analyze benchmarks and application performance; evaluate development tools and runtimes for capability, performance, and usability; and explore code optimization techniques. Help measure performance across GPU families and contribute to ports of synthetic workloads to adaptiveCPP (SYCL), while using Jira/Atlassian and LLM workflows to improve bug reproducers.

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FursaFursa
AMD
AMD
1 day ago

2027 PhD HPC & Sovereign AI Center of Excellence Intern/Co-op

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Source: Company careers pageValidated by: Fursa AI
Last checked: 13 hours agoStatus: Live

Job Summary

Work on research at the intersection of high-performance computing (HPC) and AI, optimizing AI workloads for large-scale GPU-accelerated systems. Build, run, and analyze benchmarks and application performance; evaluate development tools and runtimes for capability, performance, and usability; and explore code optimization techniques. Help measure performance across GPU families and contribute to ports of synthetic workloads to adaptiveCPP (SYCL), while using Jira/Atlassian and LLM workflows to improve bug reproducers.
Location: Austin
Workplace: Hybrid
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Build, run, and analyze benchmarks and application performance on GPU-accelerated platforms.
  • •Assess development tools and runtime environments for capabilities, performance, and usability.
  • •Explore benefits of different code optimization techniques for HPC applications.
  • •Identify and measure performance capabilities across GPU families, including developing and analyzing GPU kernels and quantifying GPU offloading benefits.
  • •Use Jira/Atlassian to harvest reproducers and support LLM workflows to incorporate existing bug reproducers; port workloads to adaptiveCPP (SYCL) and measure performance.

Pay and Benefits

Salary: USD 91,520 - 137,280 annually

Key Requirements

  • •Currently enrolled in a PhD program in Computer Science, Computational Science, Electrical/Computer Engineering, Applied Mathematics, or a related field.
  • •Strong background in parallel computing, distributed systems, or AI/ML frameworks.
  • •Proficiency in Python, C/C++, Fortrans, and/or ROCm/CUDA.
  • •Experience with at least one deep learning framework (e.g., PyTorch, TensorFlow, JAX).
  • •Familiarity with MPI, OpenMP, and GPU programming, plus experience with performance analysis and hot-spot identification.
Experience:AI/MLHPCGPUParallel computingDistributed systems
Education:PhD / Doctorate
Skills:Performance analysisProblem-solvingAttention to detailTechnical analysis
Languages:En-us
Tech Stack:PythonC/C++FortransROCmCUDAPyTorchTensorFlowJAXMPIOpenMPGPU programmingJiraAtlassianLLM workflowsAdaptiveCPPSYCL

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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