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Computational Modeling Simulation Multiphysics Jobs in California

LLNL

Mechanical - Structural Analyst

Livermore, CA

In this role, you will perform computational modeling and simulation using advanced, nonlinear finite element analysis codes developed at LLNL to evaluate structural and material responses to ...

LLNL

Mechanical - Structural Analyst

Livermore, CA · On-site

In this role, you will perform computational modeling and simulation using advanced, nonlinear finite element analysis codes developed at LLNL to evaluate structural and material responses to ...

LLNL

Mechanical - Structural Analyst

Livermore, CA · On-site

In this role, you will perform computational modeling and simulation using advanced, nonlinear finite element analysis codes developed at LLNL to evaluate structural and material responses to ...

Freeform

Simulation Engineer

Los Angeles, CA

Familiarity with computational geometry and meshing techniques. * Experience with data-driven modeling techniques and hybrid physics/data simulation methods. * Familiarity with optimization ...

Freeform

Simulation Engineer

Los Angeles, CA · On-site

Familiarity with computational geometry and meshing techniques. * Experience with data-driven modeling techniques and hybrid physics/data simulation methods. * Familiarity with optimization ...

Freeform

Simulation Engineer

Los Angeles, CA · On-site

Familiarity with computational geometry and meshing techniques. * Experience with data-driven modeling techniques and hybrid physics/data simulation methods. * Familiarity with optimization ...

Freeform

Senior Simulation Engineer

Los Angeles, CA · On-site

Familiarity with computational geometry and meshing techniques. * Experience with data-driven modeling techniques and hybrid physics/data simulation methods. * Familiarity with optimization ...

Freeform

Senior Simulation Engineer

Los Angeles, CA · On-site

Familiarity with computational geometry and meshing techniques. * Experience with data-driven modeling techniques and hybrid physics/data simulation methods. * Familiarity with optimization ...

Freeform

Senior Simulation Engineer

Los Angeles, CA · On-site

Familiarity with computational geometry and meshing techniques. * Experience with data-driven modeling techniques and hybrid physics/data simulation methods. * Familiarity with optimization ...

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Computational Modeling Simulation Multiphysics information

What is the difference between Computational Modeling Simulation Multiphysics vs Computational Engineer?

AspectComputational Modeling Simulation MultiphysicsComputational Engineer
CredentialsTypically requires degrees in engineering, physics, or related fields; certifications in simulation software are commonSimilar educational background; often holds engineering degrees and software certifications
Work EnvironmentPrimarily in R&D labs, engineering firms, or manufacturing settings focusing on complex simulationsInvolved in product development, software development, or systems design in various industries
Industry UsageUsed in aerospace, automotive, energy, and manufacturing for advanced simulationsApplied across industries for designing, analyzing, and optimizing systems and products

While both roles involve computational skills and engineering principles, Computational Modeling Simulation Multiphysics specializes in complex, multi-physics simulations, whereas Computational Engineer focuses on designing and implementing computational solutions across various engineering projects.

What are the key skills and qualifications needed to thrive as a Computational Modeling Simulation Multiphysics Engineer, and why are they important?

A strong background in physics, engineering, mathematics, and computational science—typically with an advanced degree—is essential for a Computational Modeling Simulation Multiphysics Engineer. Proficiency in simulation software such as ANSYS, COMSOL Multiphysics, MATLAB, and programming languages like Python or C++ is commonly required, along with familiarity with high-performance computing environments. Analytical thinking, problem-solving skills, and effective communication set standout professionals apart in this field. These capabilities enable accurate modeling of complex physical phenomena, efficient collaboration, and successful project outcomes in research and industry settings.

What is computational modeling simulation multiphysics?

Computational modeling simulation multiphysics refers to the use of computer-based models to simulate and analyze systems that involve multiple interacting physical phenomena—such as fluid dynamics, heat transfer, electromagnetics, and structural mechanics—all at once. This approach allows researchers and engineers to predict complex real-world behavior, optimize designs, and reduce the need for expensive prototypes. Multiphysics simulations are widely used in industries like aerospace, automotive, energy, and biomedical engineering, where accurate modeling of coupled physical processes is critical.

What are some common challenges faced by professionals in Computational Modeling Simulation Multiphysics roles, and how can they be addressed?

One of the main challenges in Computational Modeling Simulation Multiphysics roles is managing the complexity of integrating multiple physical phenomena, such as thermal, structural, and fluid dynamics, into a single simulation. This often requires a deep understanding of both the underlying physics and the numerical methods used by simulation software. Collaborating closely with domain experts and maintaining clear communication within multidisciplinary teams can help address these challenges. Additionally, staying updated with advances in simulation tools and best practices through continuous learning is key to overcoming technical hurdles and ensuring accurate results.
What are popular job titles related to Computational Modeling Simulation Multiphysics jobs in California? For Computational Modeling Simulation Multiphysics jobs in California, the most frequently searched job titles are:
What job categories do people searching Computational Modeling Simulation Multiphysics jobs in California look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in California are:
What cities in California are hiring for Computational Modeling Simulation Multiphysics jobs? Cities in California with the most Computational Modeling Simulation Multiphysics job openings:
Computational Modeling Simulation Multiphysics jobs near you
Infographic showing various Computational Modeling Simulation Multiphysics job openings in California as of May 2026, with employment types broken down into 49% Full Time, 39% Part Time, 6% Temporary, and 6% Contract. Highlights an 90% Physical, 5% Hybrid, and 5% Remote job distribution.
Computational Engineering Associate

Computational Engineering Associate

Stanford University

Stanford, CA

$91K - $119K/yr

Other

Posted 8 days ago

Stanford University rating

7.8

Company rating: 7.8 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

192nd of 534 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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