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Cuda Developer Jobs in California (NOW HIRING)

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Cuda Developer information

See California salary details

$47.4K

$110.4K

$163.8K

How much do cuda developer jobs pay per year?

As of Aug 4, 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?

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 cities in California are hiring for Cuda Developer jobs? Cities in California with the most Cuda Developer job openings:
Infographic showing various Cuda Developer job openings in California as of July 2026, with employment types broken down into 83% Full Time, 4% Part Time, 9% Temporary, 2% Contract, and 2% Nights. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $110,380 per year, or $53.1 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 today. 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