Senior Compiler Engineer – Rust GPU
NVIDIA · Posted Nov 6
Graphics processing units, artificial intelligence platforms, accelerated computing, and data center solutions
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About the role
NVIDIA is building the next generation of GPU systems programming, bringing Rust's safety, expressiveness, and tooling to native GPU and CUDA development. The team builds compiler pipelines, custom intermediate representation frameworks, and JIT compilation systems that bridge host and device execution so developers can write memory-safe, high-performance GPU kernels in idiomatic Rust. This role designs Rust-to-GPU compiler backends, IRs and optimizers, and type-safe device-side abstractions for low-level GPU hardware features.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
- 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
- A track record of contributing 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 the use of modern hardware features (e.g., Tensor Cores, warp-level shuffles, or asynchronous transfer pipelines).
- Experience designing Domain-Specific Languages (DSLs) or tile-based programming abstractions for tensor processing.
Benefits and support
- Compensation and benefits are detailed in the job posting
About NVIDIA
NVIDIA Corporation is a multinational technology company that designs graphics processing units (GPUs) for the gaming and professional markets, as well as system on a chip units (SoCs) for the mobile computing and automotive market. Pioneering accelerated computing, the company has become a driving engine of modern artificial intelligence, deep learning, and data center infrastructure.
- Industry
- Semiconductors
- Company size
- 42000+ employees
- Founded
- April 5, 1993
- Location
- Santa Clara, California, USA
- Funding stage
- Public Company
Funding
Public Company · $5M raised
Leadership
Founder, President and Chief Executive Officer
Executive Vice President and Chief Financial Officer
Founder and NVIDIA Fellow
Executive Vice President, Worldwide Field Operations
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