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Cuda Programming Jobs in California (NOW HIRING)

MatchPoint Solutions

Embedded AI Engineer

Sunnyvale, CA · On-site

$156K - $206K/yr

... with CUDA programming and PyTorch framework • In-depth knowledge of deep learning models, particularly Large Language Models (LLMs) • Proficiency in C++ and Python programming languages • ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

Strong CUDA programming skills with production kernel development * Deep understanding of GPU architecture (memory hierarchy, SMs, warps) * Track record of achieving significant performance ...

Genmo

GPU Performance Engineer

San Francisco, CA · On-site

Strong CUDA programming skills with production kernel development * Deep understanding of GPU architecture (memory hierarchy, SMs, warps) * Track record of achieving significant performance ...

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Cuda Programming information

See California salary details

$27

$53

$80

How much do cuda programming jobs pay per hour?

As of Jun 10, 2026, the average hourly pay for cuda programming in California is $53.64, according to ZipRecruiter salary data. Most workers in this role earn between $43.41 and $62.64 per hour, depending on experience, location, and employer.

What is the difference between Cuda Programming vs GPU Developer?

AspectCuda ProgrammingGPU Developer
Required CredentialsKnowledge of CUDA, C/C++, parallel computingKnowledge of GPU architecture, CUDA, OpenCL, C/C++
Work EnvironmentHigh-performance computing, scientific research, AIGraphics, gaming, scientific visualization, AI
Industry UsageTech companies, research labs, AI firmsGaming, entertainment, tech, research

While Cuda Programming focuses specifically on writing code using NVIDIA's CUDA platform for parallel processing, GPU Developers have a broader role that includes designing, optimizing, and implementing GPU-based solutions across various platforms and technologies. Both roles require knowledge of GPU architecture and programming languages like C/C++, but GPU Developers often work on a wider range of applications beyond CUDA-specific projects.

What are popular job titles related to Cuda Programming jobs in California? For Cuda Programming jobs in California, the most frequently searched job titles are:
What job categories do people searching Cuda Programming jobs in California look for? The top searched job categories for Cuda Programming jobs in California are:
What cities in California are hiring for Cuda Programming jobs? Cities in California with the most Cuda Programming job openings:
Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in California as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $111,580 per year, or $53.6 per hour.
Principal Engineer, CUDA UMD - GPU Kernel Scheduling

Principal Engineer, CUDA UMD - GPU Kernel Scheduling

Nvidia

Santa Clara, CA

$158K - $212K/yr

Full-time

Posted 6 days ago

Job description

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. We're looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement.


Are you a motivated system software engineer with a deep understanding of device drivers who has phenomenal C/C++ skills? If so, this role might be for you. We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, data science and self-driving cars to video games and virtual reality.

What you'll be doing:
As a member of our team, you will use your design abilities, coding expertise, and creativity to deliver the best compute platform in the world. You will craft elegant solutions to exciting problems and shape the future direction of CUDA as you collaborate with your peers across NVIDIA.

  • Evangelize, architect, and implement new features

  • Coordinate and drive development efforts across multiple teams

  • Help define forward-looking improvements to the CUDA APIs and programming model

  • Extend important CUDA programming models and functionality such as CUDA Graphs

  • Explore ways to use Graphs to improve the scheduling of AI/ML workloads on our GPUS to be more efficient and faster.

  • Write effective, maintainable, and well-tested code

  • Develop code for multiple operating systems

What we need to see:

  • BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)

  • Strong C and C++ programming skills

  • Minimum of 15+ years of related development experience (multiple positions for varying experience levels open)

  • Experience driving projects across multiple teams

  • Experience working with large codebases

  • Background with operating system interfaces for threads, process control, and virtual memory

  • Experience writing and debugging multithreaded programs

  • Good written communication as well as presentation skills

Ways to stand out from the crowd:

  • Prior experience with parallel computing - preferably writing CUDA Programs or Libraries that use CUDA

  • Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO

  • Knowledge of memory coherence and consistency models

  • Background with kernel mode development

  • Experience with Linux Systems Software development as well as experience maintaining and extending programming models or higher-level language support for similar environments

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 272,000 USD - 431,250 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until April 14, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse 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.
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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

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