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Computational Engineering Jobs in California (NOW HIRING)

Voltai, Inc

Computational Scientist

Palo Alto, CA · On-site

PhD in computational physics, applied mathematics, computational engineering, or a closely related field * Deep expertise in numerical PDE methods: FEM, FVM, or BEM - weak formulations, quadrature ...

Voltai

Computational Scientist

Palo Alto, CA · On-site

PhD in computational physics, applied mathematics, computational engineering, or a closely related field * Deep expertise in numerical PDE methods: FEM, FVM, or BEM -- weak formulations, quadrature ...

Fuse

Computational Physicist

San Leandro, CA · On-site

Stay up to date with advancements in computational techniques, programming languages, and physical theories to apply state-of-the-art methodologies to projects. * Contribute to academic papers ...

NewLimit

Computational Biologist

South San Francisco, CA · On-site

... engineering fundamentals and experience working with bioinformatics tools and pipelines • Working knowledge of statistical and machine learning methods applied to biological data (e.g. regression ...

Kanak Elite Services Inc

AI Engineer

Santa Clara, CA · On-site

D. in Materials Science, Computational Engineering, AI/ML, or related field. Technical Expertise: * Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow). * Experience with generative ...

NewLimit

Computational Biologist

South San Francisco, CA · On-site

$150K - $200K/yr

Description NewLimit is seeking a Computational Biologist to join our Predict team. In this role ... Strong software engineering fundamentals and experience working with bioinformatics tools and ...

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How much do computational engineering jobs pay per year?

As of Jun 26, 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.

Can computer engineers make $500,000?

Computer engineers can potentially earn $500,000 or more annually, especially with advanced skills in areas like software development, systems architecture, or cybersecurity, and in senior or executive roles. Achieving this level often requires extensive experience, specialized certifications, and working in high-paying industries or companies. Such salaries are more common in senior positions, consulting, or entrepreneurial ventures within the tech field.

What are the key skills and qualifications needed to thrive in the Computational Engineering position, and why are they important?

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 engineers make $500,000?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and aerospace engineering can earn $500,000 or more annually, especially with experience, advanced skills, and leadership roles. High compensation often includes bonuses, stock options, or profit sharing, particularly in technology and energy sectors.

What can you do with a computational engineering degree?

A computational engineering degree prepares individuals for roles involving modeling, simulation, and analysis of complex systems across industries such as aerospace, automotive, energy, and manufacturing. Graduates often work as simulation engineers, data analysts, or software developers, utilizing tools like MATLAB, Python, or C++ and applying skills in mathematics, programming, and systems design.

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 Engineering job?

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 engineers make $300,000 a year?

Senior engineers in specialized fields such as software engineering, petroleum engineering, and certain roles in aerospace or nuclear engineering can earn $300,000 or more annually, especially with extensive experience, advanced skills, and leadership responsibilities. High compensation often involves working in high-demand industries, holding advanced degrees, or obtaining professional certifications.
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
Computational Engineering Associate

Computational Engineering Associate

Stanford University

Stanford, CA

$91K - $119K/yr

Other

Posted 27 days ago

Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

196th of 539 rated colleges and universities

Job description

The Cardiovascular Biomechanics Computation Lab at Stanford University, led by Dr. Alison Marsden, focuses on computational modeling of the cardiovascular system to aid surgical planning, medical device design, and fundamental research in biomechanics. The lab develops the SimVascular open-source project, a leading tool for patient-specific modeling and blood flow simulation, and manages the Vascular Model Repository (VMR), which offers over 300 accessible SimVascular-compatible projects.

The lab seeks a Computational Engineering Associate to support VMR (https://vascularmodel.com) and SimVascular projects (https://simvascular.github.io). through data curation, database management, website maintenance, open-source software development-including bug reporting and documentation-and creating Python scripts for data processing in AI and machine learning applications. The role involves collaborating with Stanford libraries to ensure data integrity and integration of new datasets into the VMR, as well as maintaining comprehensive documentation for accessibility to researchers.

The ideal candidate will work closely with lab members and external collaborators, possessing programming experience (e.g., Python), excellent communication skills, a collaborative mindset, and project management capabilities.

Duties include:

       Data Curation for VMR: Manage data repository activities, including data archiving, curation, and ensuring public access for various research projects, while facilitating dissemination to the scientific community.

      Support for SimVascular: Assist with bug reporting, source code testing, and documentation, as well as providing user support and troubleshooting for the SimVascular community, ensuring effective dissemination of software releases.

     Model Building: Utilize SimVascular and 3D Slicer to develop anatomical models from medical images, enhancing the research database and promoting model accessibility to researchers.

       Project Management: Assist the PI with overseeing ongoing research projects and assist the senior software engineer with oversight of open-source projects, ensuring timely completion of scientific tasks and collaboration among team members, while supporting the dissemination of findings to the broader scientific community. 

      Lab Management: Assist with lab operations including compute resource allocation, equipment purchases, and onboarding new members to support scientific computing activities.

     Workflow Development: Create custom Python scripts to facilitate machine learning, data curation, and patient-specific modeling processes, aiding in the dissemination of innovative methods and tools.

* - Other duties may also be assigned

Stanford University provides pay ranges representing its good faith estimate of what the University reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location, and external market pay for comparable jobs. The pay range for this position working in the California Bay area is $91,339.00 to $119,362.00 annually.

DESIRED QUALIFICATIONS:

EDUCATION & EXPERIENCE (REQUIRED):

Bachelor's degree in engineering, science, or related field and three years of relevant experience; or a combination of education and relevant experience.

KNOWLEDGE, SKILLS AND ABILITIES (REQUIRED):

       Advanced Scientific and Engineering Knowledge: Strong understanding of scientific and engineering principles, with practical experience using engineering and simulation software such as CAD and finite element analysis tools.

       Programming and Software Engineering Proficiency: Demonstrated skills in Python programming and software engineering through coursework, research, or industry experience, including tasks like data format conversion, workflow automation, and developing scripts for AI applications.

       Open-Source Engagement: Commitment to contributing to open-source initiatives, including effective use of GitHub for source code version control, issue tracking, and collaboration with development teams.

       Team Collaboration and Technical Support: Experience working with teams to troubleshoot software installations and support laboratory operations while ensuring compliance with health and safety standards.

       Organizational Skills: Employ strong organizational skills to support collaboration with senior staff in developing custom software solutions and coordinating research initiatives.

CERTIFICATIONS & LICENSES:

None

PHYSICAL REQUIREMENTS*:

       Frequently grasp lightly/fine manipulation, perform desk-based computer tasks, lift/carry/push/pull objects that weigh up to 10 pounds.

       Occasionally stand/walk, sit, twist/bend/stoop/squat, grasp forcefully.

       Rarely kneel/crawl, climb (ladders, scaffolds, or other), reach/work above shoulders, use a telephone, writing by hand, sort/file paperwork or parts, operate foot and/or hand controls, lift/carry/push/pull objects that weigh >40 pounds.

       Consistent with its obligations under the law, the University will provide reasonable accommodation to any employee with a disability who requires accommodation to perform the essential functions of his or her job.

WORKING CONDITIONS:

       May be exposed to high voltage electricity, radiation or electromagnetic fields, lasers, noise > 80dB TWA, Allergens/Biohazards/Chemicals /Asbestos, confined spaces, working at heights 10 feet, temperature extremes, heavy metals, unusual work hours or routine overtime and/or inclement weather.

       May require travel.

Additional Information
  • Schedule: Full-time
  • Job Code: 4991
  • Employee Status: Regular
  • Grade: I
  • Department URL: http://pediatrics.stanford.edu/
  • Requisition ID: 109358
  • Work Arrangement : On Site

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