Nvidia

Senior Compiler Engineer – GPU Compute

Nvidia
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2 days ago
Austin, TX, USA +2 moreSenior
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Base Salary

$152k - $242k/yr

Responsibilities

  • Build compiler capabilities that help AI agents generate high-performing GPU code.
  • Improve front-end diagnostics and compiler feedback for developers and AI agents.
  • Design and implement CUDA C++ language features and extensions, including parsing, semantic analysis, and code generation to IR.
  • Track and implement evolving C++ standards features within the CUDA programming model.
  • Contribute to optimization, back-end, and MLIR portions of the compiler stack.
  • Collaborate with compiler, library, and developer tools teams to deliver robust production solutions.

Requirements

  • Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, a related field, or equivalent experience.
  • 5+ years of relevant work or research experience in compiler development.
  • Hands-on experience with a production C or C++ compiler front end such as Clang or GCC.
  • Strong understanding of C++, including templates, overload resolution, and modern C++ standards.
  • Strong C/C++ programming and software design skills.
  • Ability to work independently, define project goals and scope, and drive complex engineering efforts to production.
  • Strong interpersonal and cross-team collaboration skills.
  • Preferred qualifications include Clang upstream contributions, programming-language standards committee experience, LLVM optimization or code-generation experience, MLIR dialect experience, CUDA C++ application development, parallel programming knowledge, and compiler diagnostics, static analysis, or clangd experience.

Benefits

  • Equity eligibility and a comprehensive benefits package.
  • Competitive base salary range of 152,000 USD to 241,500 USD.

Tech Stack

Categories

Nvidia

About Nvidia

10,000+ employees

Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.

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