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Computational Modeling Simulation Multiphysics Jobs in California

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

They are seeking a Software Engineer specializing in simulation to enhance their multiphysics ... surrogate modeling and physics-informed neural networks--to accelerate simulations, enhance ...

Fuse

Computational Physicist

San Leandro, CA · On-site

Develop and run simulations for pulsed power systems using MHD, PIC, and circuit models. * Utilize ... Develop custom computational tools and optimize existing codes for high-performance computing (HPC)

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $175K/yr

... multiphysics simulation engine-currently supporting high-pressure die casting and investment ... Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $175K/yr

... multiphysics simulation engine-currently supporting high-pressure die casting and investment ... Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $175K/yr

... multiphysics simulation engine-currently supporting high-pressure die casting and investment ... Leverage machine learning and AI solutions-such as surrogate modeling and physics-informed neural ...

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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.
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Computational Modeling Simulation Multiphysics jobs near you
Infographic showing various Computational Modeling Simulation Multiphysics job openings in California as of June 2026, with employment types broken down into 54% Full Time, 43% Part Time, and 3% Temporary. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.
Computational Fluid Dynamics (CFD) Analyst

Computational Fluid Dynamics (CFD) Analyst

Toyon Research Corporation

Goleta, CA • On-site

$130K - $210K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 18 days ago

Job description

U.S. Citizenship is Required. Ability to qualify for a US Department of Defense Top Secret security clearance required. Candidate must be SAP and SCI program eligible.
Toyon is seeking a Computational Fluid Dynamics (CFD) Analyst to join a team in modeling reentry and hypersonic bodies. This position requires a strong background in fluid dynamics and numerical methods. The CFD Analyst will be responsible for providing high-quality analysis to inform important customer decisions.
Responsibilities:
  • Use commercial and Toyon developed CFD codes to build grids, perform simulations, and analyze results
  • Develop and automate analysis workflows using Python to enhance efficiency and accuracy
  • Compile and present analysis results
  • Work in a collaborative environment to improve modeling capabilities

Requirements
  • Ph.D. or M.S. in Aerospace Engineering, Mechanical Engineering, Chemical Engineering, Applied Mathematics, Physics, or a related field with a focus on computational modeling
  • 3 or more years of relevant technical experience (thesis work included)
  • Fundamental understanding of fluid dynamics and numerical methods for ODEs and PDEs
  • Strong proficiency in Python or MATLAB for simulation automation and data analysis
  • Ability to work independently and collaboratively

WE OFFER AN EXCEPTIONAL EMPLOYEE BENEFITS PACKAGE!
  • Competitive Industry Pay
  • 100% Employer-Paid Medical Insurance Premium
  • HSA with Employer Contributions
  • Dental and Vision Coverage Options
  • Paid Holidays
  • Paid Vacation and Sick leave
  • Company Funded 401(k) and Profit Sharing Plans
  • Employee Stock Ownership Plan (ESOP)
  • Life and Disability Insurance
  • Paid Parental Leave
  • Discretionary Bonus Eligibility

The annual pay range for the Computational Fluid Dynamics (CFD) Analyst position is $130,000 to $210,000.
The posted pay range values provide the candidate with guidance on annual base compensation for the position, at a full time level of effort, exclusive of overtime, bonus, and benefits-related compensation, over a range of qualifications that may fit hiring objectives. Toyon Research Corporation will consider the individual candidate's education, work experience, applicable knowledge, skills and training, among other factors, when preparing an offer of employment.
Equal Opportunity Employer including Disability and Veterans
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Learn more about our company in our latest video, We are Toyon.
The application window for this posting will remain open until the position is filled.
Ref #2656-H

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