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Computational Engineering Jobs in California (NOW HIRING)

Valius Sciences

Computational Biologist

San Francisco, CA · On-site

$125K - $185K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Computational biologist role We're hiring a computational biologist to analyze our patients' omics ... Strong programming skills in Python and/or R, with experience building reproducible analytical ...

Toyon

Computational Multiphysics Engineer

Goleta, CA · On-site

$125K - $195K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

S. in Electrical Engineering, Aerospace Engineering, Applied Mathematics, Physics, or a related field with a focus on computational modeling. * 3 or more years of relevant technical experience ...

Marlabs

Computational Biology MLOps Engineer

San Diego, CA · On-site

$118K - $139K/yr

... engineering. Since 2000, we have partnered with some of the largest healthcare, life sciences ... Computational Biology MLOps Engineer | About You As a Computational Biology MLOps Engineer, you are ...

LLNL

Senior Mechanical Engineering Analyst

Livermore, CA

$210K - $267K/yr

  • Retirement

You will develop computational models using custom, in-house codes, conduct engineering analysis of full weapon systems and components in thermal, quasi-static, dynamic, and hydrodynamic environments ...

LLNL

Senior Mechanical Engineering Analyst

Livermore, CA · On-site

$210K - $267K/yr

  • Retirement

You will develop computational models using custom, in-house codes, conduct engineering analysis of full weapon systems and components in thermal, quasi-static, dynamic, and hydrodynamic environments ...

LLNL

Senior Mechanical Engineering Analyst

Livermore, CA · On-site

$9.7K/wk

  • Retirement

You will develop computational models using custom, in-house codes, conduct engineering analysis of full weapon systems and components in thermal, quasi-static, dynamic, and hydrodynamic environments ...

LLNL

Microwave/RF Engineer

Livermore, CA · On-site

$9.7K/wk

  • Retirement

These positions are in the Computational Electromagnetics Group of the Computational Engineering Division (CED), within the Engineering Directorate. Depending on your assignment, these positions may ...

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All JobsComputational Engineering JobsComputational Engineering Jobs in California

Computational Engineering information

See California salary details

$47.9K

$119.9K

$135.7K

How much do computational engineering jobs pay per year?

As of Aug 14, 2026, the average yearly pay for computational engineering in California is $119,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,000.00 and $129,800.00 per year, depending on experience, location, and employer.

What skills and qualifications are needed to thrive as a computational engineer?

To thrive as a Computational Engineer, a strong background in mathematics, computer science, and engineering fundamentals is essential, generally supported by a degree in computational engineering or a related field. Familiarity with programming languages like Python, MATLAB, or C++, as well as experience using simulation software and high-performance computing systems, is typically required. Analytical thinking, effective communication, and problem-solving abilities are important soft skills for collaboration and innovation. These competencies enable Computational Engineers to develop accurate models, optimize complex systems, and deliver efficient solutions in multidisciplinary environments.

What does a computational engineer do?

A computational engineer develops and applies mathematical models, algorithms, and simulations to solve complex engineering problems. They often use programming languages and software tools to analyze data, optimize systems, and improve designs in fields such as aerospace, automotive, or energy. Strong skills in programming, numerical methods, and problem-solving are essential for this role.

Is computational engineering in demand?

Computational engineering is in high demand across industries such as aerospace, automotive, and energy, where advanced simulations and modeling are essential. Professionals with skills in programming, numerical methods, and software tools like MATLAB or Python are sought after for their ability to optimize designs and solve complex problems.

What are some common challenges computational engineers face in their work?

Computational Engineers often encounter complex, large-scale problems that require developing accurate and efficient computational models, which can be challenging due to intricacies in physical systems or computational resource limitations. Managing tight project deadlines while ensuring high-quality results and adapting to rapidly evolving technology are also common aspects of the role. Collaboration across multidisciplinary teams—often with scientists, designers, or other engineers—requires strong communication and adaptability. Embracing these challenges can help Computational Engineers expand their expertise and positively impact project outcomes.

What is a computational engineer?

A Computational Engineering job involves using mathematical models, algorithms, and computer simulations to analyze and solve engineering problems. It combines principles from computer science, applied mathematics, and engineering to improve product design, optimize systems, and enhance efficiency in various industries. Professionals in this field develop software tools, conduct simulations, and utilize high-performance computing to solve complex engineering challenges in areas such as aerospace, automotive, energy, and healthcare.

What are the most commonly searched types of Computational Engineering jobs in California?

The most popular types of Computational Engineering jobs in California are:

What are popular job titles related to Computational Engineering jobs in California?

For Computational Engineering jobs in California, the most frequently searched job titles are:

What job categories do people searching Computational Engineering jobs in California look for?

The top searched job categories for Computational Engineering jobs in California are:

Computational Engineering jobs near you
Infographic showing various Computational Engineering job openings in California as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $119,924 per year, or $57.7 per hour.

Senior Scientist in Antibody Development

Shennon Biotechnologies

San Francisco, CA

$120K - $160K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted yesterday

Job description

We are a well-funded biotech company that is redefining biologics discovery and development through our fully integrated platform. We combine ultra-high-throughput microfluidics driven functional screening, computational engineering, and translational immunology into a unified engine. Rather than approaching biologics development as a series of disconnected steps, we seamlessly integrate the discovery of novel targets, functional screening of binders, computational optimization, and predictive safety assessment to develop more better and safer therapeutics. This end-to-end approach enables faster iteration, deeper biological insight, and the development of better TCEs with greater precision and confidence.

We are currently looking for an antibody development scientist to join our interdisciplinary team. The candidate is expected to adapt quickly and communicate well, especially in a fast-paced startup environment. They will collaborate with other team members and be part of an exciting journey. We pay competitive salaries with bonus and equity, plus full benefits that include medical, dental, vision, 401k match, commuter benefits and daily lunch.

Responsibilities:

  • Design T-cell engagers and execute their development and optimization campaigns. 
  • Work with internal and external team on antibody discovery, characterization, and production.
  • Drive developability and manufacturability assessments.
  • Manage external relationships and deliverables.
  • Collaborate cross-functionally with computational scientists and immunologists to optimize and validate candidate molecules through iterative engineering and in vitro/in vivo studies. 

Skills and Qualifications:

  • PhD degree in Biochemistry, Protein engineering, Bioengineering, or a related field.
  • Strong background in biochemistry, protein engineering, and Molecular Biology.
  • 2+ years industry experience leading the design, production, and developability optimization of multi-specific antibodies.  
  • Experience with antibody discovery/engineering using phage/yeast display is a plus.
  • Experience with in vitro functional studies of multi-specific antibodies is a plus.
  • Experience working with CROs is plus.
  • Ability to work in a fast-paced startup environment, take initiative, and drive projects forward independently. 
  • Excellent communication and collaboration skills.

Compensation and Benefits:

Compensation:

  • $120,000 - $160,000 (depending on the depth of expertise) + 4% 401K match + 10% performance bonus + equity.
  • We will also consider a Principal Scientist with proven technical expertise plus cross-functional project leadership. Compensation will be adjusted accordingly.

Benefits:

  • Daily lunches; Commuter Benefits; Unlimited snacks and drinks.
  • Medical, Dental, Vision; 100% Premium Covered.
  • Disability Insurance, Life Insurance; Workplace Insurance

Apply