Senior Compiler Engineer

NVIDIA · Bengaluru, India 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