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    Job · 23216374

    Nvidia logo

    Senior Compiler Engineer - Rust GPU

    Nvidia · Bengaluru · onsite · Posted 2d ago

    Not disclosed5–9 yrsfulltimeSourced fromInstahyre

    About a minute. You'll make an account on the way through.

    About this role

    NVIDIA is hiring a Senior Compiler Engineer to join our team driving the next generation of GPU systems programming. We are redefining how developers write high-performance GPU software by bringing the safety, expressiveness, and modern tooling of Rust to native GPU and CUDA development. On this team, you will build cutting-edge compiler pipelines, custom intermediate representation (IR) frameworks, and JIT compilation systems that bridge host and device execution, allowing developers to write memory-safe, high-performance GPU kernels in idiomatic Rust.


    What you'll be doing:

    • 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.


    What we need to see:

    • 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.


    Ways to stand out from the crowd:

    • 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.

    Sourced from instahyre

    Skills

    PTXCudaRustGPUCompilersLLVMMLIRMir

    About Nvidia

    Nvidia logo

    Nvidia

    Hardware & Networking

    4.5k+

    employees

    1993

    33 years old

    Santa Clara, California

    United States (USA)

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    NVIDIA, inventor of the GPU, which creates interactive graphics on laptops, workstations, mobile devices, notebooks, PCs, and more.

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