Senior Software Engineer, CUDA Python Core Libraries

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

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA Corporation is seeking a Senior Software Engineer to advance the Python experience for CUDA Core Libraries. You will design idiomatic Python APIs, bindings, and high‑performance interfaces on top of native C/C++ foundations.

You will collaborate with C/C++, Rust, and compiler engineers to ensure fast, reliable GPU‑accelerated software, while owning features through design, testing, and maintenance. This role demands strong Python and C/C++ production skills and enthusiasm for developer

Qualifications

• 8+ years of relevant software development experience.
• Strong production programming skills in Python and C/C++.
• Experience building Python interfaces to native or systems-level software.
• Experience with parallel, heterogeneous, or GPU programming.
• Ability to work independently and drive complex work to completion.

Responsibilities

• 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 interoperability boundaries between Python, C/C++, Rust, and other languages.
• Own features throughout their lifecycle: design, implementation, testing, profiling, benchmarking, documentation, release, and long-term maintenance.

Skills

Python

C/C++

API design

GPU programming

Parallel programming

Performance optimization

Debugging

Documentation

Education

BS/MS/PhD in Computer Science/Engineering or related field

Tools

Thrust

CUB

libcudacxx

LLVM

Clang

MLIR

PyTorch

JAX

CuPy

Job description

NVIDIA’s accelerated computing platform is foundational to modern HPC and AI. At the center of this platform are CUDA Core Libraries that enable developers to build fast, reliable, and scalable GPU-accelerated software.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.What you’ll be doing: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.What we need to see: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.Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5.You will also be eligible for equity and benefits.Applications for this job will be accepted at least until July 25, 2026.This posting is for an existing vacancy.NVIDIA uses AI tools in its recruiting processes.NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.