High-performance Llm Training Engineer - New College Grad 2026

NVIDIA

Base: 124,000 usd - 195,500 usd; bonus/equity: eli...
Deep learning and neural network training expertise
Computer architecture and gpu fundamentals knowledge
C++ python and cuda programming proficiency
This role focuses on optimizing NVIDIA's high-performance LLM software stack in frameworks like PyTorch and JAX for training on thousands of GPUs

Job Summary

  • This role focuses on optimizing NVIDIA's high-performance LLM software stack in frameworks like PyTorch and JAX for training on thousands of GPUs.
  • Candidates will implement production-quality software across multiple layers of the deep learning platform stack, from drivers to DL frameworks.
  • The position offers a base salary range of 124,000 USD to 195,500 USD along with eligibility for equity and benefits.

Matching Summary

This role focuses on optimizing NVIDIA's high-performance LLM software stack in frameworks like PyTorch and JAX for training on thousands of GPUs.

Salary

Base: 124,000 USD - 195,500 USD; Bonus/Equity: Eligible for equity; Benefits: Not specified

Skills & Requirements

Must-have

  • Deep learning and neural network training expertise
  • Computer architecture and GPU fundamentals knowledge
  • C++ Python and CUDA programming proficiency

Nice-to-have

  • Experience with MLPerf Training benchmark submissions
  • Familiarity with proprietary processor system simulators
  • Ability to shape future hardware roadmaps

Key Requirements

  • MS in Computer Science Electrical Engineering or Computer Engineering
  • Proven experience analyzing and tuning application performance
  • Strong background in deep learning and neural networks training

Work Rights

Not specified

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