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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 ...

Senior Software Engineer - CUDA Driver

Santa Clara, CA · On-site

$143K - $189K/yr

... CUDA APIs and programming model • Build and maintain performance and precision modeling • Write effective, maintainable, and well-tested code • Develop code for multiple operating systems ...

We are searching for a CUDA Kernel Engineer who has hands-on experience developing and optimizing NVIDIA CUDA kernels from scratch . You will work on the GPU performance layer powering large-scale ...

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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 14, 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:
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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 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 • On-site

$158K - $212K/yr

Full-time

Posted 15 days ago


Job description

Job Summary:
NVIDIA is a leader in GPU technology and modern AI, seeking a motivated system software engineer with expertise in device drivers and C/C++ programming. The role involves architecting and implementing features for the CUDA Driver, collaborating with teams to enhance CUDA APIs and improve the efficiency of AI/ML workloads on GPUs.
Responsibilities:
• 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
Qualifications:
Required:
• 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
Preferred:
• 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
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

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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