Senior Rust-to-GPU Compiler Engineer

NVIDIA; Santa Clara (CA); On-site; USD 152,000 - 241,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA in Santa Clara, CA is seeking a senior compiler engineer to design and implement Rust-to-GPU compiler pipelines, turning Rust into CUDA PTX and machine code. You will build IRs, backends, and optimizers, and work with MLIR, PTX, and LLVM to optimize GPU workloads.

You will advance safe parallel abstractions across the GPU boundary, expose device-side primitives, and contribute to reusable building blocks for future accelerators.

Qualifications

• Bachelor's, Master's, or Ph.D. in CS, CE, or related field.
• 5+ years of compiler development, language design, or GPU code generation.
• Deep expertise in Rust, including rustc, MIR, procedural macros, and borrow-checker.
• Hands-on experience with IRs and code generation (LLVM IR, MLIR, or custom IR).
• Solid understanding of parallel programming models and CUDA.

Responsibilities

• Develop Rust-to-GPU compiler pipelines: design, implement, and maintain custom compiler backends and Rust-native IR frameworks to compile standard Rust to CUDA PTX and machine code.
• Build compiler IRs and optimizers for GPU targets (MLIR, PTX, LLVM).
• Support ahead-of-time, JIT, and link-time optimization workflows for NVIDIA GPUs and host platforms.
• Define safe parallel abstractions across GPU launch boundaries to prevent data races and ensure memory safety.
• Expose device-side abstractions for shared memory, barriers, atomics, and Tensor Memory Accelerator (TMA).
• Build the future by creating composable building blocks for others to develop tomorrow’s applications.

Skills

Rust expertise

Compiler internals

GPU code generation

Rust MIR

Procedural macros

CUDA/CUDA PTX

Parallel programming

Debugging & profiling

Education

Bachelor's/Master's/PhD in CS or related

Equivalent experience

Tools

LLVM IR

MLIR

Custom IR systems

Job description

NVIDIA in Santa Clara, CA is seeking a senior compiler engineer to design and implement Rust-to-GPU compiler pipelines, turning Rust into CUDA PTX and machine code. You will build IRs, backends, and optimizers, and work with MLIR, PTX, and LLVM to optimize GPU workloads.

You will advance safe parallel abstractions across the GPU boundary, expose device-side primitives, and contribute to reusable building blocks for future accelerators.