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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer, CUDA Core Libraries - **Company:** NVIDIA Ltd. - **Location:** Las Cruces, NM, United States - **Experience:** Expert - **Salary:** $100,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), C++ (Programming Language), Software Documentation, Profiling, Code Review, Nvidia CUDA, Computer Programming, Computer Engineering, Continuous Integration, Programming Tools, Python (Programming Language), Performance Tuning, Software Engineering, Openapi, Rust (Programming Language), Graphics Processing Unit (GPU), Pytorch, Gpu Programming, Information Technology, Build Tools, Api Design, C++14 - **Published:** July 16, 2026 - **Apply:** https://www.jofdav.com/jobs/58855167-senior-software-engineer-cuda-core-libraries ## About the Role We are hiring a Senior Software Engineer to advance the Python experience for CUDA Core Libraries. You will build Pythonic APIs, language bindings, algorithms, and runtime infrastructure on top of native C/C++ foundations. You will join the team building the foundational libraries, algorithms, and language/runtime infrastructure that make CUDA a speed-of-light experience for developers and AI coding agents alike., * BS, MS, or PhD in Computer Science, Computer Engineering, or a related field, or equivalent experience. * 8+ years of relevant software-development experience. * Strong production programming skills in both Python and C/C++; both are required for this role. * 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. Ways to stand out from the crowd: * Strong understanding of CPU/GPU architecture and performance optimization, with hands-on experience in GPU-accelerated stacks (CUDA C++/Python, PyTorch, JAX, Numba, CuPy, or similar). * Proficiency with modern C++ and GPU libraries such as Thrust, CUB, and libcudacxx. * Experience with compiler infrastructure and tooling, including LLVM, Clang, or MLIR. * Expertise in designing low-overhead interoperability between Python and native languages, including exposure to Rust in mixed-language stacks. * Demonstrated interest in developer tools, library design, and improving developer productivity. ## Description * Design and implement idiomatic Python APIs and bindings for foundational CUDA capabilities and GPU algorithms. * Develop and integrate the native C/C++ components that support Python-facing functionality. * Define reliable and efficient interoperability boundaries between Python, C/C++, Rust, and other languages. * Develop high-performance interfaces that minimize Python and native-language integration overhead. * Own features throughout their lifecycle: design, implementation, testing, profiling, benchmarking, documentation, release, and long-term maintenance. * Improve the Python developer experience through typing, packaging, examples, diagnostics, continuous integration, and compatibility testing. * Collaborate with C/C++, Rust, compiler, and runtime engineers on shared architecture and API decisions. * Work directly with users to investigate correctness, usability, compatibility, and performance issues. ## Related Videos - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [CUDA Python: GPU programming for the modern developer](https://www.wearedevelopers.com/videos/100221-cuda-python-gpu-programming-for-the-modern-developer) - [For the REST of us: API First and Conway’s Law](https://www.wearedevelopers.com/videos/1932-for-the-rest-of-us-api-first-and-conway-s-law) - [Contract-First Frontend: Scaling Reliable UIs with OpenAPI and AI](https://www.wearedevelopers.com/videos/1995-contract-first-frontend-scaling-reliable-uis-with-openapi-and-ai) - [Serverless deployment of (large) NLP models ](https://www.wearedevelopers.com/videos/158-serverless-deployment-of-large-nlp-models) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) ## Related Articles - [What’s the latest in NVIDIA CUDA Python](https://www.wearedevelopers.com/magazine/568-what-s-the-latest-in-nvidia-cuda-python) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms) - [The 13 Best Python Libraries for Developers in 2025](https://www.wearedevelopers.com/magazine/371-the-13-best-python-libraries-for-developers-in-2025) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023)