
10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
🔥 0 minutes ago
🏄 California, Texas, +1 more states – Remote
💵 $152k - $241.5k / year
⏰ Full Time
🟠 Senior
👷🏻♀️ Engineer
🦅 H1B Visa Sponsor
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10,000+ employees
Founded 1993
🏥 Healthcare
🏭 Manufacturing
🤖 Artificial Intelligence
Healthcare • Manufacturing • Artificial Intelligence
NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.
• Design, implement, and maintain custom Rust-to-GPU compiler backends, including rustc codegen backends and proc-macros • Build Rust-native intermediate representation frameworks to compile standard Rust to CUDA PTX and machine code • Lower Rust AST and MIR into MLIR, PTX, LLVM, and other IRs, including GPU-specific optimizations • Build tooling for ahead-of-time, just-in-time, and link-time optimization workflows targeting NVIDIA GPUs, host platforms, and feature sets • Architect compiler-enforced safety models extending Rust ownership, borrowing, and lifetime disciplines across the GPU launch boundary • Implement type-safe Rust abstractions for shared memory, barriers, scoped atomics, Tensor Memory Accelerator, and warp/cluster-level operations • Build composable building blocks for future accelerated-computing applications
• 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 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
• Competitive salaries • Generous benefits package • Equity
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