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Parallel Computing Software Engineer Jobs in California

Jobtailor

Software Engineer, Linux Graphics

Santa Clara, CA · On-site

$116 - $189.75/hr

... 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 ...

New

NVIDIA Gruppe

Senior GPU Architect

Santa Clara, CA · On-site

$184 - $356.50/hr

... 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 ...

New

Nvidia Corporation

Senior GPU Architect

Santa Clara, CA · On-site

$152K - $206K/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 ...

Nvidia

Senior GPU Architect

Santa Clara, CA · On-site

$152K - $206K/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 ...

ETAP

Senior Software Engineer

Irvine, CA · On-site

$104K - $174K/yr

Job Title: Senior Software Engineer Location: Irvine, CA Job type: Full-time - Hybrid Overview ... Implement data processing architectures, multi-threading or parallel computing techniques, and use ...

Aveva

Senior Software Engineer

Irvine, CA

$104K - $174K/yr

Job Title: Senior Software Engineer Location: Irvine, CA Job type: Full-time - Hybrid Overview ... Implement data processing architectures, multi-threading or parallel computing techniques, and use ...

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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 Aug 20, 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 August 2026, with employment types broken down into 92% Full Time, 4% Temporary, and 4% Contract. Highlights an 87% In-person, and 13% Remote job distribution, with an average salary of $122,612 per year, or $58.9 per hour.

Software Engineer, Linux Graphics

Jobtailor

Santa Clara, CA • On-site

$116 - $189.75/hr

Other

Posted 2 days ago

New

Job description

We are now looking for a Linux Graphics Software Engineer! NVIDIA's invention of the GPU in 1999 fueled 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. Today, we are increasingly known as “the AI computing company”.

NVIDIA is searching for world-class software engineers to join the Linux Graphics driver team. This position involves architecture and development of new features to support Wayland, Vulkan and OpenGL software for our GPUs, as well as enhancements and maintenance of existing features, including the testing and continuous improvement to maintain the driver quality.

What you’ll be doing:

  • You will be involved in the definition, design, development and automation of innovative professional and consumer Linux Vulkan and OpenGL graphics software.

  • Develop and maintain SW technologies targeted at enabling and supporting NVIDIA's GPU hardware: on the current and upcoming Linux based operating systems. Ensuring the best performance and feature quality running on cross platform implementations.

  • Collaborate with test automation to achieve outstanding feature quality and to timely identify regressions.

  • Work with other worldwide internal teams, including software, hardware, architecture, and OEM support.

What we need to see:

  • A Bachelor’s or higher degree in electrical engineering, computer science, or computer engineering (or equivalent experience).

  • 3+ years "hands on" experience developing graphics system level software, especially for the Linux OS.

  • 3+ years of programming experience in C and C++.

  • Very good oral and written communication skills.

Ways to stand out from the crowd:

  • Prior experience with Linux gaming development.

  • Low-level Linux operating system knowledge, specifically memory/resource management, scheduling, and process control.

  • A self-motivated teammate with good attitude.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 116,000 USD - 189,750 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until July 28, 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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