Senior Compiler Engineer Infrastructure

Nvidia

Remote Actively hiring
Remote, USA · Santa Clara, CA · Austin, TX · Remote, Texas · Remote, WA Posted 22 days ago $152,000$241,500 / year

At a glance

AI generated

TL;DR

Join our Compute Compiler Team as an experienced Compiler Infrastructure Engineer, focusing on aligning NVIDIA’s compiler codebases with open-source ecosystems like LLVM, Clang, and MLIR to enhance developer productivity at scale. You will reconcile internal codebases with upstream projects, design tooling for efficient workflows, and develop automation tools to improve rebasing, patch management, and large-scale refactoring. With a strong background in C++ programming and compiler internals, you’ll work on modernizing developer tools and applying AI-assisted solutions to boost engineering efficiency. This role requires expertise in large-scale codebase management, source-control workflows, and collaboration across global teams, ensuring that NVIDIA’s compiler technology remains at the forefront of scalable and maintainable development practices.

Skills

LLVM Clang MLIR C++ Git CI/CD AI Automation CUDA Python PostgreSQL Docker Kubernetes Terraform Prometheus Grafana

What you'll do

  • Reconcile and synchronize internal compiler codebases with open-source repositories.
  • Lead restructuring efforts to reduce divergence from upstream open-source projects.
  • Design and build infrastructure that improves productivity for internal engineers.
  • Develop automation tools for rebasing, patch management, and large-scale refactoring.
  • Explore AI-assisted tools to enhance developer workflows and efficiency.
  • Serve as a technical bridge between internal development and open-source ecosystems.

What we're looking for

  • Experience working with open-source compiler frameworks like LLVM, Clang, and MLIR.
  • Strong C++ programming skills for large-scale codebase management.
  • 3+ years of experience in refactoring and restructuring long-lived codebases.
  • Solid understanding of compiler internals including IRs, passes, build systems, and toolchains.
  • Familiarity with source-control workflows and strategies for managing downstream forks.
  • Expertise in building developer productivity tools, CI infrastructure, and large-scale automation.
  • Practical application of AI or ML-based tools to enhance engineering workflows.

Market check

Salary context

This $152,000–$241,500 range sits above 78% of similar postings on FindRole.

Peer median band

$117,000$220,490

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$140,400$196,750

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

Employer

About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 801 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 797 roles with salary data.

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View all roles at Nvidia

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