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Research Engineer - Accelerator Architecture

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It may have been filled or removed by NVIDIA

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Requirements

  • MSc or higher degree in CS/EE/CE/Mathematics or equivalent experience
  • Minimum 2 years of relevant experience, preferably in AI models and applications
  • Good foundation in computer science
  • Knowledge of LLMs and other Gen AI applications
  • Solid understanding of computer architecture and computer arithmetic
  • Python and common ML frameworks such as PyTorch & TensorFlow
  • Experience with performance analysis / modelling
  • Problem-solving mentality

Nice to Haves

  • Experience with scientific computing & HPC
  • Prior experience in optimizing applications on specialized accelerators (GPU, FPGA, or other custom accelerators)
  • Experience with compiler tools and MLIR
  • Experience in delivering complex projects in a fast-paced environment

What you'll be doing

  • AI application and model research
  • Performance modeling
  • Multi-functional work with hardware and software teams
  • Next-generation hardware architecture development
  • Support internal and outward-facing R&D

Perks and Benefits

  • Highly competitive salaries
  • Comprehensive benefits package
  • Equal opportunity employer valuing diversity
  • Reasonable accommodation for individuals with disabilities

This role is no longer online. Explore similar opportunities:

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AI Summary ✨
NVIDIA logo

NVIDIA

Remote - UK (Remote)

Remote
Experience: Mid-level
Posted: March 13, 2026
Last seen: 2 days ago
Python
machinelearning

Why we track NVIDIA

NVIDIA has become one of the most important companies in tech thanks to AI and GPU computing. They have EU roles across several countries. If you're interested in hardware, CUDA, or ML infrastructure, they're hard to beat.

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