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Parallel Jobs in California (NOW HIRING)

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 Systems

Mechanical Engineer

Los Angeles, CA

$125K - $150K/yr

Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our ...

Parallel Web Systems

Head of Comms

San Francisco, CA · On-site

Job Opportunity You will own how Parallel tells its story to the world. You will build relationships with press and analysts, drive coverage around product launches and benchmark results, and shape ...

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 Systems

Mechanical Engineer

Los Angeles, CA · On-site

$125K - $150K/yr

Parallel Systems is pioneering autonomous battery-electric rail vehicles designed to transform freight transportation by shifting portions of the $900 billion U.S. trucking industry onto rail. Our ...

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 California

Parallel information

See California salary details

$24.7K

$51.7K

$89.3K

How much do parallel jobs pay per year?

As of Aug 7, 2026, the average yearly pay for parallel in California is $51,674.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,500.00 and $58,700.00 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 in California are hiring for Parallel jobs? Cities in California with the most Parallel job openings:
Parallel jobs near you
Infographic showing various Parallel job openings in California 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 $51,674 per year, or $24.8 per hour.

Member of Technical Staff, Model Training

Parallel Web Systems Inc

San Francisco, CA • On-site

$150K - $300K/yr

Full-time

Retirement, PTO

Re-posted 14 days ago

Job description

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 programmatic access to the web.
We've raised $230 million from Kleiner Perkins, Sequoia, Index Ventures, Spark Capital, Khosla Ventures, First Round, and Terrain to build the web for AIs. We're currently valued at $2 billion and we're forming a world-class team of engineers, designers, marketers, sellers, researchers, and operational experts to achieve our mission.
Job: You will own the training pipeline behind the models that power both Parallel's search stack and Parallel's agents. On the search side, that means the rankers, classifiers, and query models that surface the right information. On the agent side, that means the models that help our agents plan, reason, and execute high-value tasks over web data. You will build the path from real product usage to high-quality training data, fine-tune and evaluate these models rigorously, and ship them safely to traffic used by millions.
You: Have deep intuition on modern models and training, including transformer fine-tuning, data curation, and the craft of label quality. Think rigorously about how ranking, retrieval, and agent behavior inform one another, and how to train models that serve all three. You care about your research being applied to product and systems that millions use.
Life at Parallel
Our team works fully in-person, between our Palo Alto HQ and San Francisco office. We're a flat, talent-dense organization dedicated to solving technical and creative problems.
We seek like-minded individuals who share our passion for applying science, creativity, and consistency to big and complex problems with equally big outcomes. These are our values:
  • Own customer impact: It's on us to ensure real-world outcomes for our customers.
  • Obsess over craft: Perfect every detail because quality compounds.
  • Accelerate change: Ship fast, adapt faster, and move frontier ideas into production.
  • Create win-wins: Creatively turn trade-offs into upside.
  • Make high-conviction bets: Try and fail. But succeed an unfair amount.

Compensation & benefits
  • Competitive salary
  • Generous equity
  • Visa sponsorships
  • 401K plans
  • Daily lunch & office snacks
  • Dinner at the office
  • Unlimited vacation
  • Caltrain pass reimbursement

Apply