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Computational Modeling Simulation Multiphysics Jobs in Menlo Park, CA

OpenAI

Lead Thermal Simulation Engineer

San Francisco, CA · On-site

$342K - $445K/yr

Contribute to long-term simulation capabilities including multiphysics modeling, digital twins, and system-level analysis You might thrive in this role if you: * Enjoy using first-principles ...

Apple

Mechanical Architecture - FEA

San Francisco, CA · On-site

... computational models to understand the mechanical behavior of advanced sensing technologies and ... Experience with simulation automation, surrogate models, or ML-based simulation acceleration.

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)

Apple

Mechanical Architecture - FEA

San Francisco, CA · On-site

... computational models to understand the mechanical behavior of advanced sensing technologies and ... Experience with simulation automation, surrogate models, or ML-based simulation acceleration.

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All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Menlo Park, CA

Computational Modeling Simulation Multiphysics information

See Menlo Park, CA salary details

$46K

$119.3K

$169.7K

How much do computational modeling simulation multiphysics jobs pay per year?

As of Aug 19, 2026, the average yearly pay for computational modeling simulation multiphysics in Menlo Park, CA is $119,325.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,500.00 and $152,600.00 per year, depending on experience, location, and employer.

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 common challenges faced by professionals in computational modeling simulation multiphysics, 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 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 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 cities near Menlo Park, CA are hiring for Computational Modeling Simulation Multiphysics jobs?

Cities near Menlo Park, CA 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 Menlo Park, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $119,325 per year, or $57.4 per hour.

Modeling and Simulation Engineer

Maven Robotics

San Francisco, CA • On-site

Full-time

Posted 15 days ago

Job description

Role Description
We are looking to recruit an exceptional Modeling & Simulation Engineer to work on our robot models, environment models, and simulation pipeline.
In this role you will:
  • Define simulation requirements
  • Develop performant, cutting-edge mathematical models of robots, manipulators and the scenes in which they operate
  • Strike the perfect balance between fidelity and computational complexity
  • Integrate simulation-based assessment into CI/CD pipelines in a way that scales
  • Make simulation an indispensable part of our entire design, development and deployment process

You will be working closely with the Simulation, Motion Planning & Controls, Field Operations and Intelligence teams.
Qualifications
Must-have:
  • MS or PhD in engineering, mathematics, computer science or a related discipline
  • Experience in mathematical modeling of complex dynamic systems
  • Ability to take ownership of a large, strategically important development project and drive its success
  • Willingness to step in and support other teams when we have tight deadlines and problems to solve

Nice-to-have:
  • Familiarity with environments for robotic simulation including Isaac Sim
  • Experience in some combination of:
    • applied optimization
    • modeling of mechanical contact
    • creation of detailed 3D world models
    • GPU acceleration of physics simulations
    • deployment of numerically-intensive simulations to cloud compute platforms
    • integration of simulation tests into CI/CD pipelines
    • creation of simulation test cases from real-world data
    • simulation for HiL testing

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