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Physics Simulation Python Jobs in Berkeley, CA (NOW HIRING)

Astranis

RF Design Engineer

San Francisco, CA

... physics, or equivalent * Experience with PCB design, layout and simulation (Altium or similar ... Familiarity with Python or other scripting languages used for automating test instruments

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Physics Simulation Python information

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$13.5K

$82.8K

$148.8K

How much do physics simulation python jobs pay per year?

As of May 30, 2026, the average yearly pay for physics simulation python in Berkeley, CA is $82,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,900.00 and $97,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Physics Simulation Python Developer, and why are they important?

To excel as a Physics Simulation Python Developer, you need a strong background in physics, mathematics, and proficiency in Python programming, often supported by a degree in physics, engineering, or computer science. Familiarity with simulation libraries (such as NumPy, SciPy, PyBullet, or SimPy), version control systems like Git, and experience with visualization tools are commonly required. Analytical thinking, problem-solving abilities, and effective collaboration are standout soft skills in this role. These skills enable the development of accurate, efficient simulations and foster productive teamwork in research or engineering projects.

What are some common challenges faced by professionals working in Physics Simulation with Python, and how can they be addressed?

Professionals in Physics Simulation with Python often encounter challenges such as optimizing simulation performance, ensuring numerical accuracy, and integrating complex libraries (e.g., NumPy, SciPy, PyBullet) into larger workflows. Addressing these issues typically involves using efficient coding practices, leveraging vectorized operations, and validating results with analytical solutions or experimental data. Collaboration with domain experts and regular code reviews can also help maintain code reliability and project scalability. Staying updated with the latest simulation frameworks and actively participating in open-source communities are excellent ways to overcome technical hurdles.

What is a Physics Simulation Python developer?

A Physics Simulation Python developer is a professional who uses the Python programming language to design, implement, and analyze simulations that model physical systems and phenomena. These simulations can range from simple particle motion to complex fluid dynamics or electromagnetic fields, and are widely used in research, engineering, gaming, and education. The developer typically utilizes scientific libraries such as NumPy, SciPy, and PyBullet, and may also work with visualization tools to present simulation results. Their work helps in understanding real-world physics problems, testing hypotheses, or creating realistic interactive environments.

What is the difference between Physics Simulation Python vs Mechanical Engineer?

AspectPhysics Simulation PythonMechanical Engineer
Required CredentialsProgramming skills, knowledge of physics, often a degree in physics or computer scienceMechanical engineering degree, professional licensure in some regions
Work EnvironmentSoftware development, research labs, simulation environmentsDesign offices, manufacturing plants, R&D departments
Industry UsageSimulation software development, research, academiaProduct design, manufacturing, systems optimization

Physics Simulation Python focuses on developing and implementing physics-based simulations using Python programming, often in research or software development contexts. Mechanical Engineers apply engineering principles to design, analyze, and manufacture mechanical systems. While both roles require a strong understanding of physics, Physics Simulation Python emphasizes coding and simulation, whereas Mechanical Engineering involves practical design and application in physical systems.

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

Junior Modeling and Simulation Engineer, Structural Mechanics

Atomic Machines

Emeryville, CA • On-site

$190K - $215K/yr

Full-time

Posted 10 hours 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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