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Parallel Computing Software Engineer Jobs in California

... computing software. The role involves setting architectural direction, mentoring engineers, and ... memory use • Guide parallel and distributed computing patterns (MPI, multi‑GPU scaling ...

Software Engineer

San Diego, CA · On-site +1

$69K - $125K/yr

We're looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and ... Proven experience with high-performance computing , parallel/distributed processing , and standards ...

Software Engineer

San Diego, CA · On-site +1

$87K - $157K/yr

We're looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and ... Proven experience with high-performance computing , parallel/distributed processing , and standards ...

Software Engineer

Rancho Santa Fe, CA · On-site

$69K - $125K/yr

We're looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and ... Proven experience with high-performance computing , parallel/distributed processing , and standards ...

Software Engineer

Cardiff By The Sea, CA · On-site

$69K - $125K/yr

We're looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and ... Proven experience with high-performance computing , parallel/distributed processing , and standards ...

Software Engineer

National City, CA · On-site

$69K - $125K/yr

We're looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and ... Proven experience with high-performance computing , parallel/distributed processing , and standards ...

Software Engineer

La Jolla, CA · On-site

$69K - $125K/yr

We're looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and ... Proven experience with high-performance computing , parallel/distributed processing , and standards ...

Software Engineer

Chula Vista, CA · On-site

$69K - $125K/yr

We're looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and ... Proven experience with high-performance computing , parallel/distributed processing , and standards ...

Software Engineer

San Diego, CA · On-site

$69K - $125K/yr

We're looking for a Software Engineer / Computer Scientist who thrives on solving hard problems and ... Proven experience with high-performance computing , parallel/distributed processing , and standards ...

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Parallel Computing Software Engineer information

See California salary details

$30.8K

$122.6K

$181.6K

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

As of Jul 9, 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 the Job of a Parallel Computing Software Engineer?

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 Parallel Computing Software Engineers?

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 are the typical daily responsibilities of a Parallel Computing Software Engineer?

As a Parallel Computing Software Engineer, your daily tasks often include designing, developing, and optimizing algorithms to run efficiently on multi-core processors or distributed systems. You’ll collaborate closely with other software engineers, data scientists, and hardware specialists to ensure applications scale effectively across multiple computing nodes. Debugging and profiling code to identify bottlenecks, maintaining high code quality, and keeping up-to-date with the latest parallel programming models and frameworks are also key parts of the role. Additionally, you may participate in code reviews and help train team members on best practices for parallelism.

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.
What are popular job titles related to Parallel Computing Software Engineer jobs in California? For Parallel Computing Software Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Parallel Computing Software Engineer jobs in California look for? The top searched job categories for Parallel Computing Software Engineer jobs in California are:
What are popular job titles related to Parallel Computing Software Engineer jobs in CA? For Parallel Computing Software Engineer jobs in CA, the most frequently searched job titles are:
Infographic showing various Parallel Computing Software Engineer job openings in California as of July 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $122,612 per year, or $58.9 per hour.

Senior / Staff Software Engineer, High-Performance Onboard Algorithms

Waabi

San Francisco, CA • On-site, Remote

$148K - $260K/yr

Full-time

Medical, Dental, Vision, PTO

Re-posted 15 days ago


Job description

Waabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech.
With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: www.waabi.ai
As a Software Engineer in High-Performance Onboard Algorithms, you will be a key contributor to the development and optimization of our real-time signal processing pipeline for autonomous driving. You will collaborate with our team of world-renowned scientists and engineers to build innovative, practical, and scalable solutions that handle massive amounts of sensor data (camera, LiDAR, radar, and others) with low latency and high reliability. We value original, high-impact ideas and rigorous experimental validation.
You will...
- Be part of a multidisciplinary team of Engineers and Scientists working on building a best-in-class, high-performance sensor processing stack.
- Design, implement, and optimize highly efficient algorithms for sensor data acquisition, processing, fusion, and filtering, ensuring real-time performance on target hardware.
- Work on shipping next-generation signal processing software, leveraging parallel computing architectures (e.g., CPU, GPU, specialized accelerators) and low-level system programming.
- Collaborate with Waabi's autonomy and hardware teams to ensure the efficiency and robustness of the entire system.
Qualifications:
- Fundamentals of computer architecture. You have a deep understanding of how modern computer systems work (multi-core, vector units, cache management, memory hierarchy, networking).
- Data-parallel algorithms. You have experience implementing data-parallel and compute-intensive algorithms in domains such as image/video processing, compression, and optimizing modern neural networks.
- Heterogeneous computing and systems programming. You are comfortable with balancing workloads across multiple different processors, managing the ownership and movement of data buffers, and optimizing for overall system performance.
- Performance profiling and optimization. You know how to identify bottlenecks in a complex codebase and make optimization decisions that have lasting impact.
- Shipping Production Software. You have experience in reading and developing production quality software. You write efficient and maintainable code in a native language such as C++ or Rust (we use Rust and a variety of DSLs).
Bonus:
- Experience with accelerated computing like CUDA, Vulkan, and OpenCL.
- Experience with domain specific languages such as Halide, Taichi, Mojo, or Warp.
- Experience with CPU intrinsics (SSE/AVX, NEON/SVE).
- Experience with embedded systems.
- Shipped production software in one or more of the following areas: image and video processing, compression, streaming algorithms, deep learning, geometry processing.
- Publications in top-tier conferences or journals related to high-performance computing, image processing, computer graphics, computer vision, machine learning, or self-driving technology.
The US yearly salary range for this role is: $148,000 - $260,000 USD in addition to competitive perks & benefits. Waabi US Inc.'s yearly salary ranges are determined based on several factors in accordance with the Company's compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.
Perks/Benefits:
- Competitive compensation and equity awards.
- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).
- Unlimited Vacation.
- Flexible hours and Work from Home support.
- Daily drinks, snacks and catered meals (when in office).
- Regularly scheduled team building activities and social events both on-site, off-site & virtually.
- As we grow, this list continues to evolve!
Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact!
Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.