Senior Compiler Engineer – Rust GPU

NVIDIA is dedicated to reinvent accelerated computing.

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.

About NVIDIA

• 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.
• 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.

Responsibilities

• 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.
• 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.
• 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.
• 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.
• We have to build composable building blocks for others around us to build the applications of tomorrow.

Requirements

• 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.
• 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.
• 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.

Preferred

• 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).
• 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.

Benefits

• With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers.

Build the future

Supporting today’s accelerated computing applications is not sufficient.