Senior Compiler Engineer – Rust GPU

About the role

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.