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Parallel Computing Software Engineer Jobs in California

Jobtailor

Software Engineer, Linux Graphics

Santa Clara, CA · On-site

$163K - $201K/yr

... parallel computing. More recently, GPU deep learning ignited modern AI the next era of computing ... NVIDIA is searching for world-class software engineers to join the Linux Graphics driver team. This ...

Nvidia

Software Engineer, Linux Graphics

Santa Clara, CA · On-site

$164K - $203K/yr

... parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing ... NVIDIA is searching for world-class software engineers to join the Linux Graphics driver team. This ...

NVIDIA Gruppe

Senior GPU Architect

Santa Clara, CA · On-site

$150K - $205K/yr

... and software developers to join and lead our various architecture efforts. A key part of NVIDIA's strength is to innovate in the graphics and parallel computing fields delivering the highest ...

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Parallel Computing Software Engineer information

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$30.8K

$122.6K

$181.6K

How much do parallel computing software engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for parallel computing software engineer in California is $122,612.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,391.00 and $143,457.00 per year, depending on experience, location, and employer.

What is a parallel computing software engineer?

Parallel Computing Software Engineers are professionals who design, develop, optimize, and maintain software that can run simultaneously on multiple processors or computers. Their work enables applications to process large volumes of data or perform complex computations more efficiently by splitting tasks across multiple processing units. They often use technologies such as multi-threading, distributed computing frameworks, and GPU programming to maximize performance. These engineers are crucial in fields like scientific computing, artificial intelligence, and big data analytics, where processing speed and scalability are essential.

What does a parallel computing software engineer do?

A parallel computing software engineer develops and updates high-performance computing software and tools to increase their efficiency. In this career, you focus on both parallel computing and parallel programming software to solve complex problems or algorithms. More specific duties and responsibilities of this job may revolve around the development of new or improved software to optimize multi-threaded systems or artificial intelligence data. As a parallel computing software engineer, you generally work on a team to build state-of-the-art technology to bring your company's systems to the forefront of the industry. The industries that use parallel computing include engineering, aircraft computing, and government agencies.

What are the key skills and qualifications needed to thrive as a parallel computing software engineer, and why are they important?

To thrive as a Parallel Computing Software Engineer, you need a solid background in computer science, strong programming skills (especially in C/C++ or Python), and expertise in parallel algorithms and data structures, typically supported by a relevant degree. Familiarity with parallel programming frameworks and tools such as MPI, OpenMP, CUDA, and experience working on distributed systems or high-performance computing platforms are essential. Strong problem-solving abilities, teamwork, and effective communication help you to collaborate on complex projects and convey technical ideas clearly. These skills are crucial for building scalable, efficient software solutions that leverage parallelism to maximize computational performance.
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Parallel Computing Software Engineer jobs near you
Infographic showing various Parallel Computing Software Engineer job openings in California as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 70% Full Time, 26% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $122,612 per year, or $58.9 per hour.

Senior Software Engineer CUDA UMD - GPU Kernel Scheduling

Santa Clara, CA • On-site

NVIDIA Gruppe
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about NVIDIA Gruppeexternal

$142K - $188K/yr

Other

Posted 5 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’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. We're looking to grow our company, and form teams with the smartest people in the world. Join us at the forefront of technological advancement.

Are you a motivated system software engineer with a deep understanding of device drivers who has phenomenal C/C++ skills? If so, this role might be for you. We are looking for a seasoned software professional to work on the CUDA Driver, a core component of our platform for accelerating general purpose computation on the GPU. You will be an integral part of a team that delivers features and improvements to better realize the potential of NVIDIA hardware for a growing range of computational workloads, ranging from deep learning, scientific computation, data science and self-driving cars to video games and virtual reality.

What you'll be doing
  • 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
What we need to see
  • BS or MS degree in Computer Science, Electrical Engineering or related field (or equivalent experience)
  • Strong C and C++ programming skills
  • Minimum of 4 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
  • Understanding of system level architecture, such as interconnects, memory hierarchy, interrupts, and memory-mapped IO
  • Experience writing and debugging multithreaded programs
  • Good written communication as well as presentation skills
Ways to stand out from the crowd
  • P
Ways to stand out from the crowd
  • Prior experience with parallel computing - preferably writing CUDA Programs or Libraries that use CUDA
  • Knowledge of memory coherence and consistency models
  • Background with kernel mode development
  • Experience with Linux Systems Software development
  • Experience maintaining and extending programming models or higher-level language support for similar environments

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 5, 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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Hours and flexibility

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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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