Senior Software Engineer, CUDA Rust Core Libraries

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a senior software engineer to design and implement Rust libraries and CUDA-backed GPU APIs. You will build safe Rust abstractions over C/C++ interfaces and maintain the necessary C/C++ components to support Rust-facing functionality.

You will optimize across Rust, C/C++, and GPU execution, drive end-to-end features, and collaborate with Python and compiler teams to enhance safety, correctness, and developer productivity.

Qualifications

• Advanced Rust and C/C++ development experience for systems libraries.
• Experience with foreign-function interfaces and integrating Rust with C/C++ software.
• Strong understanding of performance, concurrency, and API design.

Responsibilities

• 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 interoperability between Rust and C/C++, including Python interfaces for downstream use.
• Optimize performance across Rust, native C/C++, and GPU boundaries.
• Own features end-to-end: design, implementation, testing, profiling, packaging, release, and maintenance.
• Improve the Rust developer experience through examples, diagnostics, CI, and cross-language collaboration.
• Work with users to resolve safety, correctness, usability, compatibility, and performance issues.

Skills

Rust

C/C++

FFI with C/C++

GPU programming

Rust ownership & lifetimes

Concurrency

Unsafe Rust

API design

Education

BS/MS/PhD in CS/CE or equivalent experience

Tools

CUDA

Thrust

libcudacxx

LLVM/Clang

Job description

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.
• 8+ 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 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 27, 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.