NVIDIA

1 day ago

Senior Compiler Engineer – Rust GPU

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Build compiler pipelines that bring Rust safety and modern tooling to native GPU and CUDA development. You’ll design custom compiler backends, intermediate representation (IR) frameworks, and JIT/AOT workflows that compile standard Rust into high-performance CUDA PTX and machine code. Collaborate on GPU-specific lowering, optimizers, and compiler-enforced parallel safety models, while exposing next-gen device-side hardware abstractions and performance optimizations across NVIDIA GPU families.

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design, implement, and maintain Rust-to-GPU compiler backends and Rust-native IR frameworks to compile Rust to CUDA PTX and machine code.
•Lower Rust AST and MIR into IRs (including MLIR, PTX, and LLVM) and develop GPU-specific optimizers.
•Build tooling for ahead-of-time, just-in-time, and link-time optimization workflows across NVIDIA GPU families and host platforms.
•Architect compiler-enforced safety models extending Rust’s ownership/borrowing/lifetimes across the GPU launch boundary to prevent data races and enforce memory safety.
•Implement type-safe, ergonomic Rust device-side abstractions for GPU hardware primitives such as shared memory, barriers, scoped atomics, TMA, and warp/cluster operations.

Pay and Benefits

Salary: USD 152,000 - 241,500 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, or 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 Rust, 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 (e.g., LLVM IR, MLIR, or custom IR systems).
•Solid understanding of parallel programming models, GPU architectures, and CUDA programming.

Experience:5+ years

Education:Bachelor's in Computer Science, Computer Engineering, or related field

Skills:DebuggingProfilingBenchmarkingSoftware designIndependent execution

Tech Stack:RustRustcProcedural macrosRust MIRBorrow-checkerCUDAPTXLLVMMLIRJITProc-macrosCargoAsynchronous GPU executionTensor Memory Accelerator (TMA)Tensor Cores

Company Brief

NVIDIA

Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor

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NVIDIA

1 day ago

Senior Compiler Engineer – Rust GPU

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: Santa Clara

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design, implement, and maintain Rust-to-GPU compiler backends and Rust-native IR frameworks to compile Rust to CUDA PTX and machine code.
•Lower Rust AST and MIR into IRs (including MLIR, PTX, and LLVM) and develop GPU-specific optimizers.
•Build tooling for ahead-of-time, just-in-time, and link-time optimization workflows across NVIDIA GPU families and host platforms.
•Architect compiler-enforced safety models extending Rust’s ownership/borrowing/lifetimes across the GPU launch boundary to prevent data races and enforce memory safety.
•Implement type-safe, ergonomic Rust device-side abstractions for GPU hardware primitives such as shared memory, barriers, scoped atomics, TMA, and warp/cluster operations.

Pay and Benefits

Salary: USD 152,000 - 241,500 annually

Equity and Bonus:Equity

Key Requirements

•Bachelor’s, Master’s, or Ph.D. in Computer Science, Computer Engineering, or 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 Rust, 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 (e.g., LLVM IR, MLIR, or custom IR systems).
•Solid understanding of parallel programming models, GPU architectures, and CUDA programming.

Experience:5+ years

Education:Bachelor's in Computer Science, Computer Engineering, or related field

Skills:DebuggingProfilingBenchmarkingSoftware designIndependent execution

Tech Stack:RustRustcProcedural macrosRust MIRBorrow-checkerCUDAPTXLLVMMLIRJITProc-macrosCargoAsynchronous GPU executionTensor Memory Accelerator (TMA)Tensor Cores

Company Brief

NVIDIA

Industry: Electronics Manufacturing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Santa Clara, United States

Founded: 1993

Glassdoor: 4.3

Website LinkedIn Glassdoor