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Parallel Computing Software Engineer Jobs in California

System Software Engineer - GPU

Santa Clara, CA · On-site

$203K - $240K/yr

We are seeking a System Software Engineer to work on next-generation computing and graphics ... Background with Parallel Computing, PCIE, Nvlink or server product technologies like Infiniband ...

System Software Engineer - GPU

Santa Clara, CA · On-site

$201K - $238K/yr

We are seeking a System Software Engineer to work on next-generation computing and graphics ... Background with Parallel Computing, PCIE, Nvlink or server product technologies like Infiniband ...

Junior Software Developer

Costa Mesa, CA · On-site

$57K - $129K/yr

Technical Sales Engineer Examples of Duties and Responsibilities: * Design, implement, and maintain ... Structure code for parallel computing, including the use of locking, atomic methods, and message ...

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 ...

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 ...

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 ...

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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 Jun 19, 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 June 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $122,612 per year, or $58.9 per hour.

Software Engineer III - Edge Computing

Voyager Technologies, Inc.

Folsom, CA • On-site

$104K - $163K/yr

Full-time

Medical, Retirement, PTO

Posted 24 days ago


Job description

Voyager is an innovative defense, national security and space technology company committed to advancing and delivering transformative, mission-critical solutions. We tackle the most complex challenges to unlock new frontiers for human progress, fortify national security, and protect critical assets to lead in the race for technological and operational superiority from ground to space.
Forge the Future: Join Voyager Technologies
The future belongs to those who build it. At Voyager Technologies, we're building technologies that protect lives, expand frontiers and prepare us for what's next. And we're doing that with people who are wired to solve, build, adapt and lead. These roles are not for the faint of heart.
You'll help lay the foundation for humanity's future. Join a culture where innovation thrives, curiosity is rewarded, and impact is real. We're a company of doers, thinkers and builders, united by purpose and grounded in reality.
If you want to put your skills to work where the stakes are real and the mission is bigger than any one person, forge the future with Voyager.
Job Summary:
The Senior Edge Computing Engineer is a hands-on developer role responsible for the core performance of our fielded systems. You will own critical subsystems, utilizing advanced GPGPU techniques to process high-velocity data streams in real-time. You will work with minimal supervision to architect and implement solutions that run on diverse hardware targets, from multi-GPU rackmount servers to power-constrained embedded modules.
Responsibilities:
This position requires the candidate to perform software engineering tasks:
  • High-Performance Computing: Design and implement high-throughput processing pipelines using Modern C++ and GPU-accelerated frameworks (e.g., CUDA, Holoscan, ROCm).
  • Kernel Optimization: Write and optimize custom GPU kernels for signal processing operations, managing memory coalescing and host-to-device data transfers to minimize latency.
  • System Profiling: Profile full-stack software performance to identify CPU/GPU bottlenecks, optimizing memory usage and PCIe bandwidth utilization.
  • Hardware Abstraction: Design software interfaces that abstract specific hardware peripherals, ensuring our GPU-based algorithms can run on a variety of radio and sensor platforms.
  • Edge Infrastructure: Manage the build and deployment pipelines for embedded Linux operating systems, ensuring fielded systems correctly expose accelerator resources to containerized applications.

Requirements:
  • Bachelor's Degree in Computer Science or Engineering from an accredited college/university from an accredited college/university.
  • Ability to obtain and maintain a DoD clearance; active clearance preferred
  • Proven ability to lead engineering teams in a structured software product development environment
  • Strong organizational and technical communication skills, including presenting to internal and government stakeholders
  • Four (4) year to seven (7) years of software engineering design experience
  • Proven experience leading software engineering teams through full development lifecycle

Preferences:
  • Current DoD Top Secret SCI Security Clearance
  • Master's Degree in Computer Science or Engineering from an accredited college/university.
  • Background in Digital Signal Processing (DSP) or RF systems
  • Experience with kernal-bypass networking (DPDK, RDMA) or GPUDirect technologies

Skills:
  • Languages: Expert proficiency in Modern C++. Willingness to work with or learn Rust for safety-critical components.
  • GPU Frameworks: Proven experience with CUDA or similar parallel computing standards. Ability to reason about heterogeneous memory architectures (Unified Memory, Zero-Copy).
  • Infrastructure: Solid experience with Linux system administration, container orchestration (Kubernetes/Docker), and networking configuration.
  • Architecture: Experience designing decoupled, modular software components using standard protocols (e.g., gRPC, Protobuf).

Salary Range: $104,236-$163,300
Please click "Apply" to submit your application.
Voyager offers a comprehensive, total compensation package, which includes competitive salary, a discretionary annual bonus plan, paid time off (PTO), a comprehensive health benefit package, retirement savings, wellness program, and various other benefits. When you join our team, you're not just an employee; you become part of a dynamic community dedicated to innovation and excellence.
To conform to U.S. Government export regulations, including the International Traffic in Arms Regulations (ITAR) (22 CFR Parts 120-130) and the Export Administration Regulations (EAR) (15 CFR Parts 730-774), applicants for this position must be a U.S. Person: a US Citizen, a lawful permanent resident of the U.S., or a protected individual as defined by 8 U.S.C. § 1324b(a)(3). Applicants must be eligible to obtain any required export authorizations from the U.S. Department of State or the U.S. Department of Commerce.
Able to obtain and maintain a U.S. security clearance
Voyager is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
Minority/Female/Disabled/Veteran
The statements contained in this job description are intended to describe the general content and requirements for performance of this job. It is not intended to be an exhaustive list of all job duties, responsibilities, and requirements. This job description is not an employment agreement or contract. Management has the exclusive right to alter the scope of work within the framework of this job description at any time without prior notice.
California pay range
$113,300-$163,300 USD