NVIDIAHiring

Senior Compiler Engineer, AI

  • Remote, United States
  • Senior
  • Posted 5 days ago
In one line

Senior compiler engineer on a team using machine learning to improve compiler pipelines, with LLM-driven tooling for developers.

About the role

Work spans feature engineering through model building to compiler integration and production rollout. Success means measurable gains in runtime, compile time or efficiency on real workloads.

At a glance

Pay
Not stated in the posting
Remote scope
Remote, United States
Seniority
Senior
Skills
Python, LLVM, MLIR, GPU architecture, Machine learning, Reinforcement learning
Posted
30 Oct 2026
Last checked
2 Nov 2026

What you will do

  • Design and ship end-to-end compiler optimization workflows, from features and models to production rollout
  • Build interfaces between LLM systems and compiler infrastructure for recommendations and automation
  • Partner with compiler, architecture and performance teams to check impact on benchmarks and real workloads

What they look for

  • Degree in computer science or similar, or equivalent experience, focused on ML and compiler or developer tools
  • Eight or more years in software engineering and AI/ML, ideally in tools or systems
  • Solid grasp of compilers, code generation and GPU architecture
  • Proficiency in Python and C/C++
  • Hands-on work with LLVM/MLIR: optimization passes, code generation or frontend integration

Nice to have

  • Familiarity with reinforcement learning, evolutionary algorithms, predictive modeling and complex systems
  • Track record of shipping AI/ML in production and embedded settings

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Questions about this job

Can I do this job remotely, and from which countries?

Yes, it is listed as remote, aimed at candidates in the United States.

What does this job pay?

The posting does not state a salary, so there is no figure to quote.

What experience is needed?

It is a senior role. The posting asks for: degree in computer science or similar, or equivalent experience, focused on ML and compiler or developer tools; eight or more years in software engineering and AI/ML, ideally in tools or systems; solid grasp of compilers, code generation and GPU architecture. Skills it names include Python, LLVM, MLIR, GPU architecture.

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