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Cuda Programming Jobs in California (NOW HIRING)

Nvidia

System Software Engineer - CUDA Chips

Santa Clara, CA · On-site

$203K - $240K/yr

CUDA helps define a unified programming model across a range of system configurations and hardware capabilities accomplished through CUDA driver interaction with GPU hardware, kernel mode drivers ...

Figure

Helix AI Engineer, Perception

San Jose, CA · On-site

Preferred : • Experience with CUDA programming and real-time systems performance optimization. • Familiarity with scalable data engineering toolchains like Spark and Ray. • Strong publication ...

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$27

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$80

How much do cuda programming jobs pay per hour?

As of Sep 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.

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 processing. Skills in parallel programming, GPU architecture, and CUDA toolkit are highly valued, and job opportunities are expected to grow as industries adopt GPU acceleration for complex tasks.

What does a CUDA programming developer do?

A CUDA programming developer writes software that leverages NVIDIA's CUDA platform to perform parallel processing on GPUs, optimizing computational tasks such as scientific simulations, machine learning, and image processing. They typically work with C++ and CUDA-specific libraries, debugging and optimizing code for high performance in environments that require intensive data processing.

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What job categories do people searching Cuda Programming jobs in California look for?

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What cities in California are hiring for Cuda Programming jobs?

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Cuda Programming jobs near you
Infographic showing various Cuda Programming job openings in California as of September 2026, with employment types broken down into 2% Internship, 80% Full Time, 14% Part Time, 1% Temporary, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $111,580 per year, or $53.6 per hour.

Senior Software Engineer - CUDA Driver

Santa Clara, CA

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$143K - $189K/yr

Full-time

Re-posted 23 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

NVIDIA is seeking outstanding senior engineers to work on the CUDA driver, a key component of accelerated GPU computing. You will join a versatile software engineering team that delivers innovative software features to unlock the full potential and performance of NVIDIA hardware across diverse workloads like deep learning, scientific research, autonomous vehicles, gaming, and virtual reality. This multi-functional role requires collaboration with hardware architects, deep learning specialists, and both internal and external partners to advance the CUDA architecture. With the opportunity to collaborate with teams across the whole NVIDIA computing stack, you will help design software solutions across kernel mode components, compilers, and networking software.

Your system-level expertise and creativity in solving complex problems will help invent the future of CUDA and NVIDIA's compute technologies! Does crafting solutions to influence the evolution of GPU-accelerated computing sound exciting? If so, we invite you to join us and help engineer the next wave of innovation at NVIDIA!

What you'll be doing:

  • Evangelize, architect, and implement new CUDA features

  • Coordinate and drive development efforts across multiple teams

  • Collaborate with members of hardware architecture teams

  • Define forward-looking improvements to the 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

What we need to see:

  • Bachelor of Science or Master of Science degree in Computer Science, Electrical Engineering, or related field (or equivalent experience)

  • 5+ years of relevant experience in developing systems software

  • Strong C programming skills

  • Experience designing, debugging, and maintaining complex software stacks

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

  • Experience with HW/SW co-design, performance modeling using emulation/simulation, and developing SW programming model exposures for HW features

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

  • Strong interpersonal, verbal, and written communication skills with a capability to achieve objectives under tight time constraints

Ways to stand out from the crowd:

  • Experience with kernel scheduling, task runtimes, kernel-mode development, and Linux systems software.

  • Strong background in parallel computing, preferably writing CUDA programs or CUDA-based libraries.

  • Knowledge of memory coherence and consistency models in concurrent/parallel systems.

  • Experience maintaining and extending programming models or higher-level language support for Linux or similar environments.

  • Familiarity with distributed training/inference patterns (data/model/pipeline parallelism) and deep learning frameworks.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 4, 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.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

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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

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