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Computational Modeling Simulation Multiphysics Jobs in Fremont, CA

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Computational Chemist

San Francisco, CA · On-site

Collaborate with AI researchers to incorporate simulation data into model training and inference pipelines * Bridge scientific rigor with practical results, ensuring computational protocols are both ...

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)

LLNL

Modeling and Simulation Engineer

Livermore, CA · On-site

This position is in the Computational Engineering Division (CED), within the Engineering ... modeling and simulation tools. * Advanced knowledge and experience, and demonstrated proficient ...

LLNL

Modeling and Simulation Engineer

Livermore, CA · On-site

This position is in the Computational Engineering Division (CED), within the Engineering ... modeling and simulation tools. * Advanced knowledge and experience, and demonstrated proficient ...

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All JobsComputational Modeling Simulation Multiphysics JobsComputational Modeling Simulation Multiphysics Jobs in Fremont, CA

Computational Modeling Simulation Multiphysics information

See Fremont, CA salary details

$42.7K

$110.8K

$157.6K

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

As of Jun 10, 2026, the average yearly pay for computational modeling simulation multiphysics in Fremont, CA is $110,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,900.00 and $141,800.00 per year, depending on experience, location, and employer.

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 job categories do people searching Computational Modeling Simulation Multiphysics jobs in Fremont, CA look for? The top searched job categories for Computational Modeling Simulation Multiphysics jobs in Fremont, CA are:
What cities near Fremont, CA are hiring for Computational Modeling Simulation Multiphysics jobs? Cities near Fremont, CA with the most Computational Modeling Simulation Multiphysics job openings:
Computational Modeling Simulation Multiphysics jobs near you
Junior Modeling and Simulation Engineer, Structural Mechanics

Junior Modeling and Simulation Engineer, Structural Mechanics

Atomic Machines

Emeryville, CA

$190K - $215K/yr

Full-time

Posted 10 days ago

Job description

Atomic Machines is ushering in a new era of micromanufacturing with its Matter Compiler™ technology platform. This platform enables new classes of micromachines to be designed and built by providing manufacturing processes and a materials library that are inaccessible to semiconductor manufacturing methods. It unlocks MEMS manufacturing not only for device classes that could never be produced by semiconductor methods, but also for entirely new categories. Furthermore, this digital platform is fully programmable in the way 3D printing is digital—but whereas 3D printing produces parts of a single material using a single process, the Matter Compiler™ technology platform is a multi-process, multi-material system: bits and raw materials go in, and complete, functional micromachines come out. The Atomic Machines team has also created an exciting first device—made possible only through the Matter Compiler™ technology platform—that we will be unveiling to the world soon.
Our offices are in Emeryville and Santa Clara, California
About The Role:

We are seeking a Modeling and Simulation Engineer to join our growing AI and Modeling & Simulation team. The ideal candidate has experience developing and deploying mathematical and numerical models across multiple coupled physics domains. In this role, you will identify the critical attributes of existing manufacturing systems and future machine concepts, then use those insights to build, simulate, and deploy parameterized models that support machine design and optimization.

To succeed in this role, you should have experience with multiscale and multiphysics modeling and be comfortable using simulation tools such as COMSOL, Ansys, or similar platforms. You should also have a strong foundation in structural mechanics and thermal effects. Familiarity with other simulation domains, such as CFD (computational fluid dynamics) and robotic kinematics is a plus.

This is an excellent opportunity for someone with a track record of building high-quality, validated multiphysics models and who is excited to apply those skills to support the development of new classes of devices manufactured at scale on Atomic's platform. The ideal candidate thrives in a collaborative environment and is effective at documenting, communicating, and presenting technical work.

What You'll Do
  • Identify critical system attributes and develop computational models for current and future manufacturing machines, with an emphasis on structural and thermal.
  • Define figures of merit, boundary conditions, and operating conditions based on system requirements and cross-functional input.
  • Build and deploy multiphysics simulations, including thermal and mechanical models, using finite element methods for both steady-state and dynamic analyses.
  • Deliver executable computational models that support sensitivity analysis, design exploration, and optimization.
  • Propose validation experiments and use experimental results to calibrate, validate, and improve models.
  • Document simulation methods, assumptions, and validation results, and communicate findings clearly to the broader team.
  • Collaborate cross-functionally with prototype engineers, designers, and AI engineers.
What You'll Need:
  • 4+ years of hands-on experience in multiphysics modeling and simulation following completion of a bachelor's degree (or recent PhD).
  • Strong foundation in multiphysics simulation, with particular depth in structural mechanics (including the dynamics) and thermal analysis (e.g., thermoelasticity).
  • Programming experience, especially in Python, and experience automating simulation workflows for design and optimization.
  • Experience with COMSOL and/or Ansys; experience with Abaqus, Siemens tools, or related software is a plus.
  • Strong written and verbal communication skills, with the ability to work independently and collaboratively.
  • Resourceful, flexible, and adaptable approach to technical work.
  • Bachelor's, master's, or PhD in engineering, physics, or a related field.
Bonus points for:
  • Experience with other modeling domains such as CFD and robotic kinematics
  • Experience with thermal and mechanical contact modeling for industry applications.
  • Experience with CAD tools such as Onshape, Fusion 360, SolidWorks, NX, or similar.
  • Experience with data analysis and visualization tools such as JMP, MATLAB, pandas, or matplotlib.
  • Industry experience with product development processes such as Agile or similar frameworks.

The compensation for this position also includes equity and benefits.

Salary Range
$190,000—$215,000 USD