Senior Software Engineer, CUDA Rust Core Libraries

NVIDIA Corporation; Santa Clara (CA); On-site; USD 224,000 - 431,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA Corporation in Santa Clara, CA is seeking a Senior Software Engineer to develop the Rust experience for CUDA Core Libraries. You will design safe, idiomatic Rust APIs for GPU computing while integrating with native C/C++ components and Python interoperability.

You’ll own features end-to-end—from design and implementation to testing, profiling, and packaging—while collaborating with Rust, C/C++, Python, compiler, and runtime engineers. A BS/MS/PhD and 12+ years’ experience are expected.

Qualifications

• BS, MS, or PhD in Computer Science, Computer Engineering, or related field, or equivalent experience.
• 12+ years of relevant software development experience.
• Strong Rust and C/C++ production programming skills with ownership, lifetimes, generics, concurrency, and unsafe code.

Responsibilities

• Design and implement idiomatic Rust libraries and APIs for CUDA functionality and GPU algorithms.
• Build safe Rust abstractions over native CUDA and C/C++ interfaces.
• Develop and maintain the C/C++ components to support Rust-facing functionality.
• Ensure safe interoperability between Rust and C/C++, including Python integration.
• Optimize performance across Rust, C/C++, and GPU execution boundaries.
• Own features end-to-end: design, implementation, testing, profiling, packaging, release, and maintenance.
• Improve the Rust developer experience through examples, diagnostics, and CI.

Skills

Rust

C/C++

GPU programming

Systems libraries

Foreign-function interfaces

Python interop

Education

BS/MS/PhD in CS or related field

Tools

LLVM

Clang

MLIR

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 develop the Rust experience for CUDA Core Libraries. You will design safe, idiomatic Rust APIs for GPU computing while integrating closely with native C/C++ components. 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 Rust libraries and APIs for foundational CUDA functionality and GPU algorithms.
• Build safe Rust abstractions over native CUDA and C/C++ interfaces.
• Develop and maintain the C/C++ components required to support Rust-facing functionality.
• Establish safe and efficient interoperability between Rust and C/C++, including interfaces that support downstream Python integration.
• Optimize performance across Rust, native C/C++, and GPU execution boundaries.
• Own features end-to-end: design, implementation, testing, profiling, benchmarking, documentation, packaging, release, and maintenance.
• Improve the Rust developer experience through examples, diagnostics, build integration, compatibility testing, CI, and collaboration with C/C++, Python, compiler, and runtime engineers.
• Work with users to investigate and resolve issues related to safety, correctness, usability, compatibility, and performance.

What we need to see:

• BS, MS, or PhD in Computer Science, Computer Engineering, or related field, or equivalent experience.
• 12 + years of relevant software development experience.
• Strong production programming skills in Rust and C/C++, with deep understanding of Rust ownership, lifetimes, traits, generics, concurrency, and unsafe code.
• Experience developing systems libraries, runtime components, and developer-facing APIs.
• Practical knowledge of foreign-function interfaces and integrating Rust with C/C++ software.
• Solid understanding of systems software concepts, including performance, concurrency, and API design.
• Experience with parallel, heterogeneous, or GPU programming.
• Experience contributing to production or open-source software, including testing, profiling, benchmarking, packaging, and code review.
• Ability to work independently, define scope, and drive complex projects to completion.
• Strong written communication skills and ability to work effectively in large, multi-language codebases (Rust, C/C++, build systems, toolchains, CI).

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.
• Experience designing safe Rust abstractions over low-level or asynchronous systems, including exposure to Python interoperability.
• 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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until October 30, 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.