Senior Compiler Engineer, GPU Compute

Nvidia

Confirmed live today High trust

Quick summary

Work type: On-site
Location: Santa Clara, CAAustin, TXRedmond, WA
Salary: $152,000–$241,500 / yr
Employment: Full-time
Posted: 7 days ago
Freshness: Confirmed live today
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $213k

This role $197k

$140k $265k

below market most similar roles pay here above market

This role pays less than 57% of similar roles. Most pay $189,750–$235,750 — the blue band above. At the midpoint, this role pays about $197k versus about $213k for comparable roles.

Based on 240 similar postings.

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 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Senior Compiler Engineer, GPU Compute

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The Senior Compiler Engineer – GPU Compute joins the GPU Software organization to deliver features that help hardware reach its full potential across workloads like deep learning, scientific computing, and virtual reality. This role focuses on the CUDA compiler front end, where you will build language features, diagnostics, and capabilities to help developers and AI agents write high-performance GPU code. You will design and implement CUDA C++ language features, including parsing, semantic analysis, and code generation to IR. Key technologies include C, C++, Clang, GCC, LLVM, and MLIR. You will track evolving C++ standards and collaborate with library and developer tools teams. The work involves translating parallel programs into optimized microcode for various GPU architectures while improving compiler feedback for automated agents.

Skills

CUDA C++ LLVM MLIR Clang GCC C Parallel Programming Static Analysis Code Generation IR Semantic Analysis Diagnostics clangd

What you'll do

Build compiler capabilities to help AI agents generate high-performing and high-quality GPU code.
Improve front-end diagnostics and compiler feedback for developers and AI agents.
Design and implement CUDA C++ language features including parsing and semantic analysis.
Track and implement evolving C++ standards features within the CUDA programming model.
Generate Intermediate Representation (IR) from CUDA C++ code.
Contribute to the LLVM-based optimizer, code generation, and MLIR components of the compiler stack.

What we're looking for

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 the C++ language, 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.
Solid interpersonal skills and the ability to collaborate across teams.
Clang development experience, including upstream contributions (preferred).