NVIDIA Logo

NVIDIA

Senior Compiler Engineer – Rust GPU

Posted 13 Days Ago
Be an Early Applicant
In-Office or Remote
4 Locations
152K-242K Annually
Senior level
In-Office or Remote
4 Locations
152K-242K Annually
Senior level
Design and implement Rust-to-GPU compiler backends, IR frameworks, and JIT/AOT toolchains. Lower Rust AST/MIR to MLIR/LLVM/PTX, build GPU-specific optimizers, enforce safe parallel abstractions across host/device boundaries, and expose ergonomic device-side primitives. Drive projects from research to production and support profiling, debugging, and benchmarking workflows.
The summary above was generated by AI

NVIDIA is dedicated to reinvent accelerated computing. Reinvention requires great technology and amazing people. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world.

NVIDIA is hiring a Senior Compiler Engineer to join our team driving the next generation of GPU systems programming. We are redefining how developers write high-performance GPU software by bringing the safety, expressiveness, and modern tooling of Rust to native GPU and CUDA development. On this team, you will build cutting-edge compiler pipelines, custom intermediate representation (IR) frameworks, and JIT compilation systems that bridge host and device execution—allowing developers to write memory-safe, high-performance GPU kernels in idiomatic Rust.

What you’ll be doing:

  • Develop Rust-to-GPU Compiler Pipelines: Design, implement, and maintain custom compiler backends (such as rustc codegen backends and proc-macros) and Rust-native intermediate representation (IR) frameworks to compile standard Rust directly to high-performance CUDA PTX and machine code.

  • Build compiler IRs and Optimizers: Work with modern compiler architectures to lower Rust AST and MIR into IRs including MLIR, PTX, and LLVM, including GPU-specific optimizations.

  • Support complex ahead-of-time, just-in-time, and link time optimization workflows: Build state-of-the-art tooling to support users targeting a broad family of NVIDIA GPUs, host platforms, and feature sets.

  • Define Safe Parallel Abstractions: Architect innovative compiler-enforced safety models that extend Rust's ownership, borrowing, and lifetime disciplines across the GPU launch boundary—preventing data races and enforcing memory safety during asynchronous GPU execution.

  • Expose Next-Gen Hardware Features: Implement type-safe, ergonomic device-side abstractions in Rust for low-level GPU hardware primitives, including shared memory, barriers, scoped atomics, Tensor Memory Accelerator (TMA), and warp/cluster-level operations.

  • Build the future: Supporting today’s accelerated computing applications is not sufficient. We have to build composable building blocks for others around us to build the applications of tomorrow.

What we need to see:

  • 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, language design, or GPU code generation.

  • Deep expertise in the Rust programming language, including a strong grasp of compiler internals (rustc), Rust MIR, procedural macros, and Rust's borrow-checker/lifetime model.

  • Hands-on experience with compiler infrastructures, intermediate representations (IRs), and code generation (such as LLVM IR, MLIR, or custom IR systems).

  • Solid understanding of parallel programming models, GPU architectures, and CUDA programming.

  • Strong software design skills, including debugging, profiling, and benchmarking compilers and GPU kernels.

  • Ability to orchestrate agents for product requirement design, architecture, code development, testing, code review, and issue triage.

  • Ability to work independently, define project goals and scope, and drive complex compiler-engineering efforts from research to production.

Ways to stand out from the crowd:

  • A track record of contributing to the Rust compiler (rustc), Cargo tooling, or open-source Rust-to-GPU projects.

  • Experience building custom compiler front-ends, AST translators, or JIT engines.

  • Familiarity with MLIR or other extensible compiler frameworks.

  • Deep proficiency in low-level GPU programming, including the use of modern hardware features (e.g., Tensor Cores, warp-level shuffles, or asynchronous transfer pipelines).

  • Experience designing Domain-Specific Languages (DSLs) or tile-based programming abstractions for tensor processing.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for programming languages and systems technology, we want to hear from you.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 25, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA Austin, Texas, USA Office

Austin, United States

Similar Jobs

37 Minutes Ago
Remote or Hybrid
United States
100K-130K Annually
Senior level
100K-130K Annually
Senior level
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Partner with Go-to-Market leaders to lead full-cycle recruiting for Sales and related GTM roles. Build sourcing strategies and pipelines, design structured interviews, use recruiting metrics to track progress, coach hiring teams, and collaborate with cross-functional partners to deliver inclusive hiring and successful onboarding.
Top Skills: AI
37 Minutes Ago
Remote or Hybrid
United States
160K-200K Annually
Junior
160K-200K Annually
Junior
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
The Sales Consultant will expand market presence among P&C carriers and MGAs by generating leads and closing sales, while engaging in consultative selling to address client needs.
Top Skills: Salesforce
2 Hours Ago
Remote or Hybrid
United States
124K-165K Annually
Junior
124K-165K Annually
Junior
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
Manage and engage Cadillac dealerships across an assigned Northern California territory through regular field visits (up to 75% travel). Drive vehicle and accessory sales, mentor and consult with dealer teams, support product launches and inventory management, monitor customer satisfaction, analyze local market and dealer performance, and assist with customer problem resolution to meet monthly and yearly sales objectives.
Top Skills: Excel

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account