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High-Performance LLM Training Engineer - New College Grad 2027

NVIDIA· Engineer, Sys SW
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Santa Clara, CA$124k - $195.5kfull-timePosted 4d ago

About the role

Engineer role focused on performance analysis and optimization of high-performance LLM training workloads across multi-GPU environments, shaping software stacks and hardware roadmaps for next-generation GPUs.

Responsibilities

  • Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms.
  • Understand the big picture of training performance on GPUs, prioritizing and solving problems across all state-of-the-art LLMs.
  • Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack.
  • Implement key LLM training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.
  • Build agentic tools to automate workload analysis, workload optimization, and other critical workflows.

Qualifications

  • M.S. or PhD in Computer Science, Electrical Engineering or Computer Engineering (or equivalent experience).
  • Strong background in deep learning and neural networks, in particular model training optimizations.
  • Deep background in computer architecture and familiarity with the fundamentals of GPU architecture.
  • Proven experience analyzing and tuning application performance & processor and system-level performance modeling.
  • Programming skills in C++, Python, and CUDA.

Skills

Required:Performance analysisGPU architectureC++PythonCUDA

Benefits

  • Equity
  • Benefits package (see NVIDIA benefits)
  • Competitive salaries
  • Opportunity to work on cutting-edge GPU/AI hardware and software
Last updated Oct 23, 2026. Interested? Apply on the company site.

About NVIDIA

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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.

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