Senior Compiler Engineer
NVIDIA· Engineer, Sys SW
Hybrid (Remote / Local)$152k - $241.5kFull-timePosted 1mo ago
About the role
NVIDIA is hiring a Senior Compiler Engineer to drive the next generation of GPU systems programming, focusing on Rust-based tooling to compile Rust directly to CUDA/PTX and machine code, with advanced compiler pipelines, IR frameworks, and JIT/LTO workflows.
Responsibilities
- 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: Lower Rust AST and MIR into IRs including MLIR, PTX, and LLVM, with 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 compiler-enforced safety models that extend Rust ownership/borrowing/lifetime across the GPU launch boundary to prevent data races and enforce memory safety during asynchronous GPU execution.
- Expose Next-Gen Hardware Features: Implement type-safe, ergonomic device-side abstractions in Rust for low-level GPU primitives (shared memory, barriers, scoped atomics, Tensor Memory Accelerator, warp/cluster-level operations).
- Build the future: Create composable building blocks for others to build tomorrow’s applications.
Qualifications
- Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, or related field, or equivalent experience.
- 5+ years of relevant experience in compiler development, language design, or GPU code generation.
- Deep expertise in Rust (rustc, MIR, procedural macros, borrow-checker/lifetime).
- Hands-on experience with compiler infrastructures, IRs, and code generation (e.g., LLVM IR, MLIR, or custom IRs).
- Solid understanding of parallel programming models, GPU architectures, and CUDA programming.
- Strong software design skills, debugging, profiling, and benchmarking compilers and GPU kernels.
- Ability to coordinate cross-functional work (product design, architecture, development, testing, reviews, triage).
- Ability to work independently, define goals, and drive complex compiler-engineering efforts from research to production.
Skills
Required:Rust programmingCompiler infrastructuresGPU programmingPerformance toolingSystem design and architecture
Benefits
- equity
- benefits (see linked page)
Last updated Sep 4, 2026. Interested? Apply on the company site.
About NVIDIA
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NVIDIA invents the GPU and drives advances in AI, HPC, gaming, creative design, autonomous vehicles, and robotics.
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