ZipRecruiter

Log In

1

Cuda Developer Jobs in California (NOW HIRING)

MatchPoint Solutions

Embedded AI Engineer

Sunnyvale, CA · On-site

$156K - $206K/yr

Key Responsibilities: • Validate PyTorch-based LLMs on company-specific AI processors using CUDA ... with CUDA programming and PyTorch framework • In-depth knowledge of deep learning models ...

next page

Showing results 1-20

All JobsCuda Developer JobsCuda Developer Jobs in California

Cuda Developer information

See California salary details

$47.4K

$110.4K

$163.8K

How much do cuda developer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for cuda developer in California is $110,380.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $128,300.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Cuda Developers in their daily work?

Cuda Developers often encounter challenges related to optimizing code for maximum performance while managing the unique memory hierarchies and parallel processing features of GPU architectures. Debugging and profiling GPU code can be more complex than standard CPU programming, requiring specialized tools and a strong understanding of concurrency. Collaboration with data scientists, machine learning engineers, and software architects is common, as Cuda Developers often integrate their code into larger, multi-disciplinary projects. These challenges make the role both stimulating and rewarding for those who enjoy solving intricate computational problems.

What are the key skills and qualifications needed to thrive in the Cuda Developer position, and why are they important?

To thrive as a Cuda Developer, you need strong proficiency in C/C++ programming, parallel computing concepts, and hands-on experience with NVIDIA CUDA architecture. Familiarity with GPU development tools such as NVIDIA Nsight, CUDA Toolkit, and relevant certifications can further validate your expertise. Problem-solving skills, attention to detail, and effective collaboration are valuable soft skills in this position. These capabilities are crucial for efficiently developing, debugging, and optimizing high-performance GPU-accelerated applications in demanding computational environments.

What is a Cuda Developer job?

A CUDA Developer is a software engineer who specializes in programming using NVIDIA's CUDA (Compute Unified Device Architecture) platform. They leverage parallel computing to optimize and accelerate applications, mainly in fields like AI, scientific computing, and high-performance computing. Their responsibilities often include writing GPU-accelerated code, optimizing performance, and working with frameworks like TensorFlow or PyTorch.

What are the most commonly searched types of Cuda Developer jobs in California? The most popular types of Cuda Developer jobs in California are:
What are popular job titles related to Cuda Developer jobs in California? For Cuda Developer jobs in California, the most frequently searched job titles are:
What job categories do people searching Cuda Developer jobs in California look for? The top searched job categories for Cuda Developer jobs in California are:
What cities in California are hiring for Cuda Developer jobs? Cities in California with the most Cuda Developer job openings:
Cuda Developer jobs near you
Senior Build Engineer - CUDA Driver and Libraries

Senior Build Engineer - CUDA Driver and Libraries

Nvidia

Santa Clara, CA

$143K - $189K/yr

Full-time

Posted 6 days ago

Job description

Our work at NVIDIA is dedicated towards a computing model focused on visual and AI computing. For two decades, NVIDIA has pioneered visual computing, the art and science of computer graphics, with our invention of the GPU. The GPU has also shown to be spectacularly effective at solving some of the most complex problems in computer science. Today, NVIDIA's GPU simulates human intelligence, running deep learning algorithms and acting as the brain of computers, robots and self-driving cars that can perceive and understand the world. We are looking to grow our company and teams with the smartest people in the world and there has never been a more exciting time to join our team!

NVIDIA's accelerated computing platform is the foundation of modern HPC and AI. At the core of this platform are the CUDA Driver, CUDA Toolkit and CUDA Core Libraries-C++ and Python libraries that enable developers to write fast, reliable, scalable GPU-accelerated software and the Legate libraries that accelerate multi-GPU workflows. We are looking for an outstanding build engineer to contribute to the build, testing, packaging and developer experience to accelerate development.. This includes projects like the CUDA driver, CUDA toolkit, CCCL (Thrust, CUB, libcudacxx), cuda-python, numba-cuda, Legate and cuPyNumeric. Join the team that builds, tests and packages the foundational libraries, algorithms, language and compiler infrastructure that make CUDA a speed of light delight for developers across a wide range of workloads including deep learning, scientific computing, HPC, and data analytics.

What you will be doing:

  • Decomposing and modularizing build processes for reusablity across multiple projects

  • Debugging CMake, pip, and conda issues encountered in CI and local builds

  • Working on scripting and infrastructure to manage dependencies across various environments and build systems

  • Bringing up builds and CI across platforms (x86_64/arm64) and OSes (Linux/Windows/Mac) and other unreleased hardware and software

  • Working with engineering leadership to identify the support matrix and manage the scope of the build matrix

  • Automating scheduled work for all of the above

What we need to see:

  • Bachelor's Degree in Systems/Software/Computer Engineering, CS or equivalent experience

  • 8+ years of relevant industry experience or equivalent academic experience after BS

  • Experience working across multiple highly-coupled projects (in Git or another VCS)

  • Experience working with C/C++ and Python projects

  • Familiarity with CMake, pip, conda or other tools for C/C++ or Python build and packaging

  • Familiarity with CI/CD systems including Github and Gitlab

  • Understanding of testing principles

  • Knowledge of release management practices

  • Strong analytical, debugging, and problem-solving skills

  • Familiarity with containerization technologies (e.g. Docker)

Ways to stand out from the crowd:

  • Background with or compiling for HPC/multi-node environment

  • Experience working with closed-source SW, confidential HW, or large code-bases (100k+ LoC)

  • Familiarity with binary library compilation, linking, and distribution

  • Exposure to development across multiple OSes

  • You have implemented, shipped, and EoL'd a conda package

NVIDIA is widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you!

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 June 14, 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.
Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

View All Nvidia Jobs

Apply