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

AMD
San Jose, Santa Clara
Workplace: HybridInternshipUSD 91,520 - 137,280 annuallyFunction: Research & Scientific (R&D)Education: phdSkills: []

Join the HPC & Sovereign AI Center of Excellence as a PhD intern/co-op, working on projects that optimize AI workloads for large-scale computing environments. You’ll build and analyze GPU-accelerated benchmark performance, assess development tools and runtimes, and explore code optimization techniques. Example work includes studying GPU communication patterns, adapting GPU development tools for future AMD GPUs, and porting workloads to adaptiveCPP (SYCL) while measuring performance across GPU families.

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FursaFursa
AMD
AMD
2 days 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: 15 hours agoStatus: Live

Job Summary

Join the HPC & Sovereign AI Center of Excellence as a PhD intern/co-op, working on projects that optimize AI workloads for large-scale computing environments. You’ll build and analyze GPU-accelerated benchmark performance, assess development tools and runtimes, and explore code optimization techniques. Example work includes studying GPU communication patterns, adapting GPU development tools for future AMD GPUs, and porting workloads to adaptiveCPP (SYCL) while measuring performance across GPU families.
Location: San Jose, Santa Clara
Workplace: Hybrid
Employment Type: Internship
Job Function: Research & Scientific (R&D)
Seniority: Intern level

Key Responsibilities

  • •Contribute to projects optimizing AI workloads for large-scale computing environments.
  • •Build, run, and analyze performance benchmarks and applications on GPU-accelerated platforms.
  • •Assess development tools and runtime environments for capabilities, performance, and usability.
  • •Explore benefits of code optimization techniques, including communication pattern optimization for HPC applications.
  • •Port and measure performance of synthetic workloads and proxy apps to adaptiveCPP (SYCL), including performance capability identification across GPU families.

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 programming languages such as Python, C/C++, Fortrans or ROCm/CUDA.
  • •Experience with at least one deep learning framework (e.g., PyTorch, TensorFlow, JAX).
  • •Familiarity with MPI, OpenMP, or GPU programming.
Experience:PhD researchHPCAI/MLGPU computingParallel computingDistributed systems
Education:PhD / Doctorate in Computer Science, Computational Science, Electrical/Computer Engineering, Applied Mathematics, or related field
Languages:En-us
Tech Stack:PythonC/C++FortransROCmCUDAPyTorchTensorFlowJAXMPIOpenMPGPU programmingLLM workflowsJiraAtlassianAdaptiveCPPSYCLGPU kernels

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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