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.
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
You will also be eligible for equity and benefits.
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.Skills Required
- 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 with deep understanding of ownership, lifetimes, traits, generics, concurrency, and unsafe code.
- Strong production programming skills in C/C++.
- 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).
- Strong understanding of CPU/GPU architecture and performance optimization, and hands-on experience with 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.
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
