NVIDIA Corporation

Senior Software Engineer, CUDA Rust Core Libraries

NVIDIA Corporation$184K — $356K *
US-AnywhereRemote in Santa Clara, CA
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 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 a deep understanding of Rust ownership, lifetimes, and concurrency.
  • Experience developing systems libraries and developer-facing APIs.
  • Practical knowledge of integrating Rust with C/C++ using foreign-function interfaces.
  • Solid understanding of systems software concepts including performance and API design.
  • Experience with GPU programming.

Responsibilities

  • Design and implement idiomatic Rust libraries and APIs for foundational CUDA functionality.
  • Build safe abstractions over native CUDA and C/C++ interfaces in Rust.
  • Develop and maintain necessary C/C++ components to support Rust functionality.
  • Establish interoperability between Rust and C/C++, supporting Python integration.
  • Optimize performance across Rust and GPU execution boundaries.
  • Own features end-to-end, including design, testing, and documentation.
  • Collaborate with users to resolve issues related to safety and performance.

Benefits

  • Equity opportunities offered.
  • Comprehensive benefits package available.
Full 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.
  • 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.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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