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Computer Science Startup Jobs in California (NOW HIRING)

Advanced degree (Master's or PhD) in Physics, Mathematics, Computer Engineering, Computer Science ... Startup experience * Government clearance is preferred Compensation Range: $150,000-$220,000 per ...

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Computer Science Startup information

See California salary details

$82.4K

$101.2K

$133.7K

How much do computer science startup jobs pay per year?

As of May 28, 2026, the average yearly pay for computer science startup in California is $101,157.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,800.00 and $113,500.00 per year, depending on experience, location, and employer.

What is a Computer Science Startup job?

A Computer Science Startup job typically involves working in a newly founded tech company, focusing on developing innovative software, algorithms, or systems. Employees in these roles often wear multiple hats, including coding, product development, and problem-solving. Startups require adaptability, creativity, and a willingness to work in a fast-paced, evolving environment. Unlike established companies, startups may offer more autonomy and opportunities for rapid career growth but can also come with higher uncertainty.

What are the key skills and qualifications needed to thrive in the Computer Science Startup position, and why are they important?

To succeed in founding or leading a computer science startup, you need a solid background in computer science or software engineering, an entrepreneurial mindset, and experience in product development. Familiarity with programming languages, cloud platforms, and agile development tools, as well as knowledge of industry certifications like AWS Certified Developer or ScrumMaster, can be highly beneficial. Strong skills in communication, problem-solving, adaptability, and leadership are crucial to navigate uncertainties and drive team collaboration. These skills and qualities are vital to innovate effectively, secure investment, and build scalable tech solutions in a highly competitive market.

What are the typical challenges faced in a computer science startup and how can I prepare for them?

Working in a computer science startup often involves managing rapid changes in technology, tight deadlines, and the pressure to deliver innovative solutions with limited resources. Team members frequently wear multiple hats, balancing development, testing, and sometimes even customer support or business planning. To prepare, it’s helpful to stay up-to-date with industry trends, cultivate flexibility in your work style, and strengthen your project management skills. Building a strong network and seeking mentorship within the startup and tech communities can also provide practical support and guidance. Embracing a proactive, problem-solving approach will help you navigate and thrive in this dynamic environment.
What are the most commonly searched types of Computer Science Startup jobs in California? The most popular types of Computer Science Startup jobs in California are:
What are popular job titles related to Computer Science Startup jobs in California? For Computer Science Startup jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Computer Science Startup jobs? Cities in California with the most Computer Science Startup job openings:
Infographic showing various Computer Science Startup job openings in California as of May 2026, with employment types broken down into 46% Full Time, and 54% Part Time. Highlights an 100% In-person job distribution, with an average salary of $101,157 per year, or $48.6 per hour.

Computational Scientist - FDTD

Bolt Graphics

Sunnyvale, CA • On-site

$150K - $220K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 15 days ago


Job description

Bolt Graphics is a semiconductor startup based in Sunnyvale, CA building the fastest and most efficient graphics processors. We pride ourselves on our first principles approach to solving problems. We are energized by our mission to reduce the barrier of entry for content creation and consumption. Our goal is to enable everyone to easily create, simulate and consume immersive experiences as vividly as they can imagine them.
Our Values
  • Be Fearless: Unmute yourself. Test boundaries and get proven right.
  • Remain Adaptable: Stay comfortable in a continuously changing world. If you're wrong, concede and move on.
  • Educate Your Ego: Selflessly collaborate towards our shared purpose.

About the role:
We're looking for a highly skilled Computational Scientist with deep expertise in computational electromagnetics, numerical methods, scientific computing, and mathematical modeling.
This role will focus on the research, development, validation, and optimization of finite-difference time-domain algorithms for modeling complex electromagnetic phenomena.
This is a highly specialized research role centered on advancing FDTD methods, improving numerical accuracy and stability, evaluating algorithmic tradeoffs, and developing computationally efficient implementations for high-performance simulation environments.
What you'll do:
  • Conduct in-depth research and development of FDTD algorithms for computational electromagnetics.
  • Translate electromagnetic theory and advanced mathematical concepts into robust, discrete computational formulations.
  • Perform validation and accuracy studies against analytical solutions, published benchmarks, and established simulation methods.
  • Document research findings, algorithm designs, validation results, and technical recommendations for internal stakeholders.
  • Contribute to long-term research direction for advanced electromagnetic simulation capabilities.

Qualifications:
  • Education/Experience: Advanced degree (Master's or PhD) in Physics, Mathematics, Computer Engineering, Computer Science, or a related field with a strong focus on computational electromagnetics.
  • FDTD Expertise: Strong experience with finite-difference time-domain methods, Maxwell's equations, wave propagation, and numerical electromagnetics.
  • Research Ability: Ability to evaluate published methods, compare algorithmic approaches, and develop novel or improved computational techniques.
  • Mathematical Modeling: Proficiency in advanced calculus, vector calculus, differential equations, linear algebra, and modeling of physical phenomena.
  • Programming: Python, Julia, C/C++, MATLAB.
  • Communication: Ability to clearly articulate research findings to both technical and non-technical leadership.
  • Exposure to hardware acceleration, HPC, or GPU/FPGA technologies is beneficial.
  • Startup experience
  • Government clearance is preferred

Compensation Range: $150,000-$220,000 per year (California). This range represents the anticipated base pay for this role; the final offer may vary based on qualifications, experience, and location.
Benefits:
  • Medical, Dental, & Vision - 100% covered premiums
  • Equity - Stock Options
  • 401(k) match
  • WFH Hardware

Bolt is committed to building a diverse and inclusive environment in which we recognize and value each other's differences as well as fostering a culture that promotes its core values: Professionalism, Integrity, and Respect. As an equal opportunity employer, all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, or status as a protected veteran.