Senior Python-C++ GPU API Engineer (Equity Options)

NVIDIA; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Job summary

NVIDIA is hiring a Senior Software Engineer to advance the Python experience for CUDA Core Libraries in Santa Clara, CA. You will build Pythonic APIs and bindings on top of C/C++ foundations and work across Python, C/C++, Rust, and other languages.

You’ll own features end-to-end, optimize performance, and collaborate with compiler and runtime engineers, all while designing scalable, developer-friendly interfaces for GPU-accelerated workflows.

Qualifications

• BS, MS, or PhD in Computer Science, Computer Engineering, or related field, or equivalent experience.
• 8+ years of relevant software-development experience.
• Strong production programming skills in both Python and C/C++; both required.
• Experience building Python interfaces to native or systems-level software.
• Understanding of systems software concepts, performance, concurrency, and API design.
• Practical experience with parallel, heterogeneous, or GPU programming.
• Experience developing production software or widely used libraries, including testing, profiling, benchmarking, packaging, and code review.
• Ability to work independently, define project scope, and drive complex work to completion.
• Clear written communication skills for API specifications, technical designs, and user documentation.
• Comfort working in large codebases spanning Python, C/C++, build systems, packaging, and continuous-integration infrastructure.

Responsibilities

• Design and implement idiomatic Python APIs and bindings for CUDA capabilities and GPU algorithms.
• Develop and integrate native C/C++ components supporting Python-facing functionality.
• Define interoperability boundaries between Python, C/C++, Rust, and other languages.
• Develop high-performance interfaces that minimize integration overhead.
• Own features through design, testing, profiling, documentation, release, and maintenance.
• Improve Python developer experience via typing, packaging, examples, diagnostics, CI, and tests.
• Collaborate with C/C++, Rust, compiler, and runtime engineers on architecture and API decisions.
• Work with users to diagnose correctness, usability, compatibility, and performance issues.

Skills

Python programming

C/C++ programming

API design

Documentation

Concurrency

Performance optimization

Parallel GPU programming

Communication

Build systems/CI

Education

BS/MS/PhD in CS/CE or equivalent

Tools

Thrust

CUB

libcudacxx

LLVM/Clang/MLIR

Job description

NVIDIA is hiring a Senior Software Engineer to advance the Python experience for CUDA Core Libraries in Santa Clara, CA. You will build Pythonic APIs and bindings on top of C/C++ foundations and work across Python, C/C++, Rust, and other languages.

You’ll own features end-to-end, optimize performance, and collaborate with compiler and runtime engineers, all while designing scalable, developer-friendly interfaces for GPU-accelerated workflows.