Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI
CUDA @ 4
Debugging @ 7
GPU @ 6
LLVM @ 4
Parallel Programming @ 4
Profiling @ 7
Rust @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
NVIDIA is hiring a Senior Compiler Engineer to drive the next generation of GPU systems programming. The team is bringing the safety, expressiveness, and modern tooling of Rust to native GPU and CUDA development. The role focuses on building compiler pipelines, custom intermediate representation frameworks, and JIT compilation systems that bridge host and device execution, enabling memory-safe, high-performance GPU kernels in idiomatic Rust.
Responsibilities
- Design, implement, and maintain Rust-to-GPU compiler backends, including
rustccodegen backends and procedural macros. - Build Rust-native intermediate representation frameworks to compile standard Rust to high-performance CUDA PTX and machine code.
- Lower Rust AST and MIR into MLIR, PTX, LLVM, and custom IRs, including GPU-specific optimizations.
- Develop tooling for ahead-of-time, just-in-time, and link-time optimization workflows targeting NVIDIA GPUs, host platforms, and feature sets.
- Architect compiler-enforced safety models that extend Rust ownership, borrowing, and lifetime disciplines across the GPU launch boundary.
- Implement type-safe, device-side Rust abstractions for GPU hardware primitives, including shared memory, barriers, scoped atomics, Tensor Memory Accelerator (TMA), and warp- and cluster-level operations.
- Build composable systems-programming foundations for future accelerated-computing applications.
Requirements
- 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 Rust, including
rustcinternals, Rust MIR, procedural macros, and the borrow-checker and lifetime model. - Hands-on experience with compiler infrastructures, intermediate representations, 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.
Preferred Qualifications
- Contributions 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 Tensor Cores, warp-level shuffles, and asynchronous transfer pipelines.
- Experience designing domain-specific languages (DSLs) or tile-based programming abstractions for tensor processing.
Benefits
- Competitive salary with a base salary range of USD 152,000–241,500.
- Equity and benefits.
- Inclusive work environment and equal-opportunity employment.
Applications will be accepted at least until September 6, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes.
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