NVIDIA Corporation

Senior Software Engineer, CUDA Core Libraries

NVIDIA Corporation$184K — $356K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 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.
  • 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.
  • Ability to work independently and drive complex projects to completion.
  • Clear written communication skills for API specifications and technical designs.

Responsibilities

  • Design and implement idiomatic Python APIs and bindings for foundational CUDA capabilities.
  • Develop and integrate native C/C++ components to support Python functionality.
  • Define interoperability boundaries between Python, C/C++, Rust, and other languages.
  • Develop high-performance interfaces minimizing integration overhead.
  • Own features throughout their lifecycle: design, implementation, testing, and maintenance.
  • Improve the Python developer experience through user-friendly tooling.
  • Collaborate with engineers across languages on architecture and API decisions.

Benefits

  • Eligibility for equity in addition to base salary.
  • Access to benefits which promote work-life balance, health, and well-being.
Full Job Description
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 18, 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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