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Cuda Programming Jobs in California (NOW HIRING)

Nvidia

Senior Compiler Engineer - PVA

Santa Clara, CA · Hybrid

$122K - $168K/yr

NVIDIA has revolutionized parallel computing, and the development of the CUDA programming model has fueled its power. NVIDIA developed a powerful computing platform (PVA) focused on vision and deep ...

Nvidia

Senior DL Compiler Engineer- CUDA Tile

Santa Clara, CA · On-site

$143K - $189K/yr

In this role, you will be working on CUDA Tile, a new tile-based programming model for our GPUs. CUDA Tile shipped with CUDA 13.1 and is a major addition to CUDA ( * You will design and implement ...

Figure

Helix AI Engineer, Perception

San Jose, CA · On-site

$200K - $350K/yr

Experience with CUDA programming and real-time systems performance optimization. * Familiarity with scalable data engineering toolchains like Spark and Ray. * Strong publication record in a relevant ...

Figure

Helix AI Engineer, Perception

San Jose, CA · Hybrid

$200K - $350K/yr

Experience with CUDA programming and real-time systems performance optimization. * Familiarity with scalable data engineering toolchains like Spark and Ray. * Strong publication record in a relevant ...

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Cuda Programming information

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$27

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$80

How much do cuda programming jobs pay per hour?

As of Jul 5, 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 salary of NVIDIA CUDA developer?

The salary of an NVIDIA CUDA developer typically ranges from $80,000 to $130,000 annually, depending on experience, location, and industry. Skilled CUDA programmers with advanced knowledge of parallel computing and GPU architecture tend to earn higher salaries.

What jobs use CUDA?

Jobs that use CUDA include roles such as GPU programmer, software developer, data scientist, and machine learning engineer, especially in fields like high-performance computing, artificial intelligence, and scientific research. These roles often require knowledge of parallel programming, C++, and GPU architecture, and involve developing or optimizing software to run efficiently on NVIDIA GPUs.

Are CUDA programmers in demand?

CUDA programmers are in high demand due to the growing use of GPU 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 increase as these technologies expand across industries.

How much do CUDA engineers make?

CUDA engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in parallel programming and GPU optimization can command higher salaries, especially in tech hubs or companies with advanced AI and high-performance computing needs.

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
System Software Engineer - CUDA Chips

System Software Engineer - CUDA Chips

Nvidia Corporation

Santa Clara, CA • On-site

$203K - $240K/yr

Full-time

Posted 13 days ago

Job description

We are hiring engineers to work on the CUDA driver, a core component of our platform for accelerating general purpose computation on the GPU. Our team delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from across deep learning, scientific computation, and self-driving cars, video games and virtual reality.
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, and the operating system. This role incorporates strong system software programming skills, a detailed understanding of operating systems and kernel programming, hardware architecture, as well as excellent communication and planning skills. You will work closely with both hardware engineers and other software engineers to craft, develop, debug and deploy many functional aspects of NVIDIA hardware and mobile system-on-chip (SOC) devices!
What you'll be doing:
You can expect be heavily involved through all aspects of development of our world-class products, ranging up front from design feedback, early modeling, simulation of hardware in pre-silicon environments, all the way through to early silicon bringup and final feature deployment in production software ultimately delivered to end users. You should be eager to learn about, and contribute to, the design of new compute and graphics drivers and new GPU architectures!
In this role, you will:
  • Develop Software on Pre-Si environments(Simulation/Emulation)
  • Own and drive CUDA enablement for new Silicon and Architecture
  • Work with SW, HW and relevant teams to develop, stabilize and productize CUDA features for new chips and systems
  • Promote, architect, and implement new features, as well as own contribution to bring up of CUDA on new chips
  • Help define forward-looking improvements to the CUDA APIs and programming model, while driving development efforts across multiple teams
  • Write effective, maintainable, and well-tested code
  • Developing code for multiple operating systems

What we need to see:
  • BS or MS degree in Computer Engineering, Computer Science, Electrical Engineering or equivalent experience
  • 2+ years of relevant systems software development experience
  • Strong C programming skills, knowledge of parallel programming
  • Excellent knowledge of computer system architectures
  • Experience with operating system interfaces for threads, process control, and virtual memory
  • Experience writing and debugging multithreaded programs
  • Background with working with large codebases
  • Deep understanding of technology and passionate about what you do
  • Good written communication as well as strong collaborative skills and ability to effectively guide and influence across groups

Ways to stand out from the crowd:
  • 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 Windows, Linux, or macOS driver development
  • Some familiarity with C++, CUDA experience

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 124,000 USD - 195,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until June 26, 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.
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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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