ZipRecruiter

Log In

1

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

Skild AI

Machine Learning Engineer

San Mateo, CA · On-site

Proficiency in Python, C++, or similar and at least one deep learning library such as PyTorch ... Experience with physics simulation engines and tools for training RL. * Deep understanding of ...

UniversalAGI

AI Product Engineer

San Francisco, CA · On-site

Deep technical comfort with Python on the backend, alongside React, TypeScript, and Next.js on the ... Prior experience or background with 3D applications, CAD, physics simulations, or engineering ...

PhysicsX

Machine Learning Engineer

San Francisco, CA · On-site

By enabling high-fidelity, multi-physics simulation through AI inference across the entire ... Building machine learning models and pipelines in Python, using common libraries and frameworks (e ...

Meta

Software Engineer, Simulation

Menlo Park, CA

$154K/yr

... developing Python codebase * Understanding of performance and benchmarking measurement and ... rules of physics. Meta is proud to be an Equal Employment Opportunity and Affirmative Action ...

Fuse

Computational Physicist

San Leandro, CA · On-site

$150K - $200K/yr

... physics. * Experience with Screamer, MAGIC, HYDRA, or similar circuit and plasma codes. * Proficiency in MHD and PIC simulation techniques. * Strong programming skills in Python, Fortran, C++, or ...

Fuse

Computational Physicist

San Leandro, CA · On-site

... physics. * Experience with Screamer, MAGIC, HYDRA, or similar circuit and plasma codes. * Proficiency in MHD and PIC simulation techniques. * Strong programming skills in Python, Fortran, C++, or ...

previous pagenext page

Showing results 21-40

All JobsPhysics Simulation Python JobsPhysics Simulation Python Jobs in Berkeley, CA

Physics Simulation Python information

See Berkeley, CA salary details

$13.5K

$82.8K

$148.8K

How much do physics simulation python jobs pay per year?

As of Sep 13, 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 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 are the key skills and qualifications needed to thrive as a physics simulation Python developer?

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 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 are popular job titles related to Physics Simulation Python jobs in Berkeley, CA?

For Physics Simulation Python jobs in Berkeley, CA, the most frequently searched job titles are:

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
Infographic showing various Physics Simulation Python job openings in Berkeley, CA as of September 2026, with employment types broken down into 2% Internship, 85% Full Time, 10% Part Time, and 3% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $82,773 per year, or $39.8 per hour.

Computational Scientist, Differentiable Physics

Menlo Park, CA • On-site

Periodic Labs
See more jobs at Periodic Labsexternal

$250K - $350K/yr

Full-time

Posted 8 days ago

Job description

About the Role
Periodic Labs is building AI systems that can simulate physical science, verify predictions, and train on the full scientific method. We are looking for a Computational Scientist to build differentiable, accelerator-ready simulations for industrially relevant continuum-physics problems.
You should be equally comfortable with governing equations, solver code, and deep learning. We are open to expertise in any area of continuum-physics, with at least some experience in fluid dynamics. You will work on building simulation capabilities in challenging, data-limited domains requiring a mix of physics-based and empirical approaches.
What You'll Do
  • Build and extend differentiable solvers for continuum simulation (including but not limited to fluid dynamics), especially multi-scale and multi-physics problems.
  • Implement numerical methods from equations and papers, and diagnose convergence, stability, and modeling failures.
  • Combine simulation with deep learning for surrogate modeling, learned physics, inverse problems, parameter estimation, and optimization.
  • Use automatic differentiation and modern accelerators with JAX or PyTorch to make simulations scalable and trainable.
  • Validate models against experiments, trusted benchmarks, or high-fidelity simulations.
  • Create datasets and evaluations to guide the development of LLMs to accelerate and automate these tasks.
You Will Thrive Here If You Have
  • A PhD or equivalent research experience in applied mathematics, computational science, physics, engineering, computer science, or a related field.
  • Code-level experience building or substantially modifying PDE solvers, numerical methods, or differentiable simulations.
  • Deep expertise in at least one continuum domain, with breadth across domains or a demonstrated ability to learn new physics quickly.
  • Meaningful experience building, training, and evaluating deep-learning models for physical systems.
  • Strong Python and software-engineering skills, especially JAX, PyTorch, Julia, or C++.
  • Experience applying simulation to realistic scientific or engineering problems, not only clean academic benchmarks.
  • A startup mentality: ownership, good judgment under uncertainty, and enthusiasm for building from scratch.
Strong Candidates May Also Have
  • Experience with fluid dynamics plus another continuum domain, or with multiphysics and multiscale modeling.
  • Expertise in adjoint methods, implicit differentiation, differentiable programming, or scientific optimization.
  • Experience accelerating scientific software on GPUs or TPUs.
  • Contributions to scientific open-source software used by others.
  • Experience connecting simulation to experiments, engineering decisions, semiconductors, or autonomous workflows.
Mechanics
  • Minimum education: Bachelor's degree or similar experience
  • Location: Menlo Park, CA (Soon: San Francisco, too)
  • Compensation: $250,000-350,000 + equity
  • Visa sponsorship: Yes, we sponsor visas and will do everything we can to assist in this process.

Apply