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Compiler Engineer - AI Inference

NVIDIA· Engineer, Sys SW
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Hybrid (Remote - UK), Hybrid (Cambridge)not specifiedPosted 2mo ago

About the role

AI Compiler Engineer role focused on kernel generation and graph optimizations for next-generation NVIDIA GPUs, tackling AI workloads (inference and training) and collaborating across software, hardware, and research to enable datacenter-scale AI deployments.

Responsibilities

  • Drive technical innovation: Participating in hands-on development focusing on kernel generation and computational graph optimizations for next-generation NVIDIA GPUs.
  • Advance the state-of-the-art: Solve complex compilation problems for AI workloads (both inference and training) and transition breakthroughs into enterprise and consumer products.
  • Collaborate on hardware/software co-design: Partner with experts across software, hardware, and research divisions to architect and co-design future silicon.
  • Scale AI to the datacenter: Participate in the advancement and optimization of datacenter-scale AI workload deployments.

Qualifications

  • BS or MS in Computer Science, Computer Engineering, or a related field (or equivalent experience). A PhD is strongly preferred.
  • Compiler Experience: 3+ years of relevant industry experience specializing in compiler optimizations, synthesis, and placement.
  • MLIR Knowledge: Demonstrated, hands-on experience working with MLIR.
  • Programming Excellence: Exceptional C/C++ and Python programming and software design skills, including rigorous debugging, performance analysis, and test design.
  • Team Dynamics: Strong communication and interpersonal skills, with the ability to collaborate effectively in a dynamic, fast-paced, and product-oriented environment.

Skills

Required:kernel generationcomputational graph optimizationsMLIRC/C++Pythoncommunication

Benefits

  • competitive salaries
  • generous benefits package
Last updated Aug 21, 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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