Senior Compiler Engineer

NVIDIA is seeking a Senior Compiler Engineer to join their team driving the next generation of GPU systems programming. The role involves building cutting-edge compiler pipelines, custom intermediate representation (IR) frameworks, and JIT compilation systems that bridge host and device execution. This will enable developers to write memory-safe, high-performance GPU kernels in idiomatic Rust.

Key Responsibilities:

• Develop Rust-to-GPU Compiler Pipelines: Design, implement, and maintain custom compiler backends 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.

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 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.

Benefits:

• Competitive salaries
• Generous benefits package