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Computational Modeling Simulation Phd Jobs in California

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Computational Chemist

San Francisco, CA · On-site

PhD in Computational Biophysics, Computational Chemistry, or a related field * Experience with molecular modeling, simulation, and generative drug design * Proficiency with common computational ...

Archer

Senior Engineer, Modeling & Simulation

San Jose, CA · Hybrid

$122K - $173K/yr

MS or PhD in an Engineering discipline highly desirable * 5+ years of multi-physics simulation experience * Expert in numerical modeling and dynamic simulation of complex physical systems, especially ...

Archer

Senior Engineer, Modeling & Simulation

San Jose, CA · On-site

$122K - $173K/yr

MS or PhD in an Engineering discipline highly desirable * 5+ years of multi-physics simulation experience * Expert in numerical modeling and dynamic simulation of complex physical systems, especially ...

Toyon

Computational Multiphysics Engineer

Goleta, CA

$125K - $195K/yr

We are seeking a Computational Multiphysics Engineer with expertise in numerical methods and ... Use commercial and proprietary modeling tools to simulate and optimize antenna systems and RF ...

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Computational Modeling Simulation Phd information

What is the difference between Computational Modeling Simulation Phd vs Computational Scientist?

AspectComputational Modeling Simulation PhdComputational Scientist
Required CredentialsPhD in computational sciences, engineering, or related fieldMaster's or PhD in computational or related fields
Work EnvironmentResearch labs, academia, industry R&DResearch institutions, tech companies, industry R&D
Industry UsageDeveloping models, simulations, and algorithms for complex systemsApplying computational methods to solve scientific or engineering problems

Both roles involve advanced computational skills and research experience, but the Computational Modeling Simulation Phd typically focuses on developing and validating models through extensive research, while a Computational Scientist applies these methods to practical problems across various industries.

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Computational Modeling Simulation Phd jobs near you
Infographic showing various Computational Modeling Simulation Phd job openings in California as of June 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Temporary. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.
Modeling and Simulation Engineer, Structural Mechanics

Modeling and Simulation Engineer, Structural Mechanics

Atomic Machines

Emeryville, CA • On-site

$190K - $215K/yr

Full-time

Posted 26 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

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