Senior Compiler Engineer – Rust GPU

Job Title

Senior Compiler Engineer – Rust GPU

Role Summary

Join a systems-compiler team building Rust-native compiler pipelines and tooling to enable memory-safe, high-performance GPU programming on NVIDIA hardware.

The role focuses on compiler backends, IR frameworks, JIT/AOT workflows, and device-side abstractions to map Rust to CUDA/PTX and GPU machine code.

Experience Level

Senior — typically requires 5+ years of relevant compiler, language, or GPU code-generation experience.

Responsibilities

Primary responsibilities include designing and implementing compiler systems and GPU-targeting code generation.

• Design, implement, and maintain Rust-to-GPU compiler backends and Rust-native IR frameworks (rustc codegen, proc-macros).
• Lower Rust AST/MIR into IRs such as MLIR, PTX, and LLVM and implement GPU-specific optimizations.
• Build and maintain AOT, JIT, and link-time optimization workflows across NVIDIA GPU families and host platforms.
• Architect compiler-enforced safety models extending Rust ownership/borrowing across host-device boundaries to prevent data races.
• Implement ergonomic, type-safe device-side abstractions for GPU primitives (shared memory, barriers, atomics, TMA, warp/cluster ops).
• Profile, benchmark, debug, and optimize compiler pipelines and GPU kernels; drive features from research to production.

Requirements

Must-have technical skills and experience.

• 5+ years of experience in compiler development, language design, or GPU code generation.
• Deep expertise in Rust, including knowledge of rustc internals, MIR, procedural macros, and the borrow checker.
• Hands-on experience with compiler infrastructures and code generation (LLVM IR, MLIR, or custom IRs).
• Strong understanding of parallel programming models, GPU architectures, and CUDA programming.
• Proven software design skills and experience with debugging, profiling, and benchmarking compilers and GPU kernels.
• Ability to work independently, set scope and goals, and drive complex engineering projects from research to production.

Nice-to-have:

• Contributions to rustc, Cargo tooling, or open-source Rust-to-GPU projects.
• Experience building custom compiler front-ends, AST translators, or JIT engines; familiarity with MLIR.
• Deep low-level GPU programming experience with modern hardware features (Tensor Cores, warp-level ops, async transfers).
• Experience designing DSLs or tile-based abstractions for tensor processing.

Education Requirements

Bachelor's, Master's, or Ph.D. in Computer Science, Computer Engineering, or a related field — or equivalent practical experience.

About the Company

Company: NVIDIA

Headquarters: Santa Clara, California, USA

NVIDIA is a global leader in accelerated computing, renowned for its innovative solutions in AI and digital twins that transform diverse industries. The company specializes in networking technologies, providing end-to-end InfiniBand and Ethernet solutions for servers and storage that optimize performance and scalability. NVIDIA serves sectors such as high-performance computing, enterprise data centers, and cloud computing, constantly reinventing its products and services to stay ahead in the market.