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Parallel Jobs in Sunnyvale, CA (NOW HIRING)

Parallel Domain

Product Manager

San Francisco, CA · Remote

Company Overview Parallel Domain is the trusted sensor simulation and reconstruction software for physical AI. We turn customer capture data into real-fidelity replicas with deterministic multi ...

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Parallel Web Systems Inc

Field Marketing

San Francisco, CA · On-site

$150K - $250K/yr

About us Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful ...

Parallel Web Systems Inc

Head of Comms

San Francisco, CA · On-site

$200K - $300K/yr

About us Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful ...

Parallel Web Systems Inc

GTM Finance

San Francisco, CA · On-site

$175K - $225K/yr

About us Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful ...

Parallel Web Systems Inc

Growth

San Francisco, CA · On-site

$150K - $250K/yr

About us Parallel is a web infrastructure company. Our products are used by leading businesses in sales, marketing, insurance, and coding to build best-in-class AI agents with flexible and powerful ...

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All JobsParallel JobsParallel Jobs in Sunnyvale, CA

Parallel information

See Sunnyvale, CA salary details

$29.3K

$61.5K

$106.2K

How much do parallel jobs pay per year?

As of Aug 7, 2026, the average yearly pay for parallel in Sunnyvale, CA is $61,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,900.00 and $69,800.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in parallel computing roles, and how can they be addressed?

Professionals in parallel computing roles often encounter challenges such as debugging complex, concurrent code and optimizing performance across multiple processors. These issues require a solid understanding of parallel algorithms and experience with tools designed for performance profiling and debugging. Collaboration with team members is essential, as projects typically involve working closely with software engineers, system architects, and hardware specialists. To address these challenges, it's helpful to stay current with best practices, participate in code reviews, and leverage community resources and documentation.

What is the difference between Parallel vs Network Engineer?

AspectParallelNetwork Engineer
Required CertificationsCompTIA A+, Cisco CCNA, Network+CCNA, CCNP, CompTIA Network+
Work EnvironmentData centers, server rooms, cloud environmentsCorporate offices, data centers, ISPs
Industry UsageIT, cloud services, data managementTelecommunications, IT, enterprise networks
Common Search/ComparisonParallel vs Network Engineer

Parallel and Network Engineer roles share similar certifications and work environments, often overlapping in IT and data management sectors. However, Parallel roles focus more on parallel processing and computing tasks, while Network Engineers specialize in designing and maintaining network infrastructure. Understanding these differences helps job seekers identify the right career path based on their skills and interests.

What is a parallel?

In the context of computing and technology, 'Parallel jobs' refer to tasks or processes that are executed simultaneously across multiple processors or computers. This approach is commonly used in high-performance computing (HPC), data processing, and scientific research to speed up complex computations by breaking them into smaller, concurrent tasks. Parallel jobs can significantly reduce the time required to process large datasets or perform intensive calculations. They are managed using parallel computing frameworks and often require specialized software and hardware to coordinate the execution of multiple processes. Understanding how to design and manage parallel jobs is essential for roles in data science, engineering, and research fields.

What skills and qualifications are needed to thrive as a parallel?

To thrive as a Parallel Computing Engineer, you need a strong background in computer science, mathematics, and parallel algorithms, often supported by a relevant degree. Proficiency with parallel programming languages (such as CUDA, OpenMP, or MPI), high-performance computing (HPC) clusters, and debugging tools is essential. Strong analytical thinking, collaborative teamwork, and effective problem-solving skills help you stand out in this field. These skills are vital for optimizing computational processes and ensuring efficient, scalable solutions in complex computing environments.
What cities near Sunnyvale, CA are hiring for Parallel jobs? Cities near Sunnyvale, CA with the most Parallel job openings:
Parallel jobs near you
Infographic showing various Parallel job openings in Sunnyvale, CA as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 16% Part Time, and 5% Contract. Highlights an 73% Physical, 4% Hybrid, and 23% Remote job distribution, with an average salary of $61,452 per year, or $29.5 per hour.

GPU Systems Engineer - HPC / Parallel Computing

Vast.ai Inc

San Francisco, CA • On-site

$160K - $320K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago

Job description

About Us
Vast.ai's cloud powers AI projects and businesses all over the world. We are democratizing and decentralizing AI computing-reshaping our future for the benefit of humanity.
We are a growing and highly motivated team dedicated to an ambitious technical plan. Our structure is flat, our ambitions are out‑sized, and leadership is earned by shipping excellence.
We seek engineers with strong intrinsic drive, a true passion for advancing the state of the art, and a mix of architecture, coding, and communication skills.
LOCATION: On-site at our office in San Francisco or Westwood, Los Angeles.
About the Role
We're looking for a systems engineer with HPC or parallel programming experience to help scale AI inference. You'll leverage your knowledge of high-performance systems to optimize GPU performance at the bleeding edge of AI.
  • Full-Time
  • On-site at either our SF or LA offices
Tech Stack
CUDA/C++, GPGPU, Python, Linux
Key Responsibilities
  • Design and optimize GPU kernels and tensor libraries
  • Translate HPC techniques into scalable AI inference solutions
  • Evaluate emerging architectures and resource management approaches
  • Collaborate with technical leadership to improve GPU infrastructure efficiency
Ideal Experience
  • Advanced C++ (C++17/20 preferred)
  • Expertise with at least one parallel framework (CUDA, HIP, SYCL, OpenCL, OpenACC, or similar)
  • Strong background in systems optimization and HPC performance tooling
  • Familiarity with distributed training/inference frameworks (bonus)
Interview Process
After submitting your application, our technical team reviews your credentials. If selected, you'll proceed through the following stages:
  • Initial screening (virtual, 15 minutes)
  • Quick dive into Vast, systems and architectures (virtual, 30 minutes)
  • LLM-assisted coding assessment (virtual, 1 hour)
  • Meet and greet with coding assessment (on-site, 2 hours)

Our goal is to complete the interview process in two weeks.
Benefits
  • Comprehensive health, dental, vision, and life insurance
  • 401(k) with company match
  • Meaningful early-stage equity
  • Onsite meals, snacks, and close collaboration with founders/tech leaders
  • Ambitious, fast-paced startup culture where initiative is rewarded

Apply