Senior AI-Driven Compiler Engineer (GPU/Verification) — Equity

NVIDIA; Santa Clara (CA); On-site; USD 152,000 - 242,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Compiler Engineer to help build the next generation of intelligent compiler technologies for our accelerated computing stack. You will design and implement compiler systems that reason about code transformations across software and hardware boundaries.

You will work across NVIDIA's compiler, runtime, library, and hardware teams to bring new capabilities into production tools, focusing on correctness, performance, and scalability for GPU-centric workloads.

Qualifications

• 5+ years in compilers, AI systems, numerical computing or verification.
• Strong hands-on compiler implementation, program analysis, and code generation.
• Experience with GPU programming and performance optimization.

Responsibilities

• Design, build, and optimize intelligent low-level compiler systems and workflows.
• Develop systems for numerical validation, verification, and correctness tooling.
• Co-design compiler and verification workflows across NVIDIA's software stack.
• Collaborate with CUDA, library, runtime, and hardware teams to productionize capabilities.
• Drive performance analysis and optimization with focus on correctness and scalability.

Skills

C/C++

Python

Rust

CUDA

GPU programming

Compiler

Code generation

Performance engineering

Numerical correctness

Education

Bachelor's degree in CS/EE/Applied Math or related

MS or PhD preferred

Tools

LLVM

MLIR

PTX

Triton

Job description

NVIDIA is seeking a Senior Compiler Engineer to help build the next generation of intelligent compiler technologies for our accelerated computing stack. You will design and implement compiler systems that reason about code transformations across software and hardware boundaries.

You will work across NVIDIA's compiler, runtime, library, and hardware teams to bring new capabilities into production tools, focusing on correctness, performance, and scalability for GPU-centric workloads.