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Cuda Programming Jobs in California (NOW HIRING)

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 • ...

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

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

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$27

$53

$80

How much do cuda programming jobs pay per hour?

As of Aug 4, 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.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing need for high-performance computing in fields like artificial intelligence, scientific research, and data analysis. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued by employers across technology, automotive, and research industries.

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 does a CUDA programmer do?

A CUDA programmer develops software that leverages NVIDIA's CUDA platform to perform parallel computing tasks on GPUs. They write and optimize code using languages like C++ and CUDA-specific libraries to accelerate applications in fields such as scientific computing, machine learning, and graphics processing.
What cities in California are hiring for Cuda Programming jobs? Cities in California with the most Cuda Programming job openings:
Infographic showing various Cuda Programming job openings in California as of July 2026, with employment types broken down into 10% As Needed, 51% Full Time, 3% Part Time, 20% Temporary, 14% Nights, and 2% Summer. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $111,580 per year, or $53.6 per hour.

Senior CUDA AI Quality Engineer -- Benchmarks & AI Tools (Santa Clara)

NVIDIA

Santa Clara, CA • On-site

$272K - $425K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies


Job description

A leading technology company in California is looking for a Senior Research Engineer to join their CUDA AI Quality team. The role involves designing evaluation frameworks and developing benchmarks for AI-powered CUDA programming. Candidates should have a strong background in CUDA programming, experience in AI research, and the ability to collaborate effectively. This position offers a competitive salary range of $224,000 – $356,500 for Level 5 and $272,000 – $425,500 for Level 6, along with equity and benefits.
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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