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

Open Orion

Head of AI

San Francisco, CA · On-site

... simulations • Develop surrogate models that approximate expensive physics solvers with learned ... in Python and at least one ML framework (PyTorch, JAX, TensorFlow) • Experience building ...

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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 Sep 12, 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 Physics Intern (Summer 2027)

South San Francisco, CA

Zipline
See more jobs at Ziplineexternal

$20.25 - $26.25/hr

Temporary, Internship

Posted 23 days ago

Key responsibilities

  • Develop computational tools to automate high-level design trades, optimizations, and sensitivity studies

  • Improve the performance and flexibility of simulation frameworks

  • Build physics-based models that underlie aircraft performance simulations

Job description

About the Systems Modeling Team

The Systems Modeling Team has tremendous power to shape Zipline's products. We develop physics-based models and use them to architect our aircraft, as well as the supporting logistics system. Using simulation, we can rapidly explore a vast array of designs to optimize future products, and we can find ways to squeeze more performance out of our existing products. 

Systems Modeling brings diverse teams and fields together (e.g. electrical, thermal, mechanical, aerodynamics, battery chemistry, controls, fleet operations, economics) to gain new insights. We translate technical conversations into rigorously framed engineering problems. We value asking pertinent questions and generating coherent answers.

The Role

Leading the way in drone delivery requires pushing the limits of individual component technologies and carefully orchestrating which ones we put together to optimize the performance of the complete vehicle. How much of the benefit of a larger motor is counteracted by its aerodynamic penalty? How much range are we willing to give up for extra payload capacity? How do we optimally control battery charging - electrically and thermally - to strike a balance between turnaround time and battery longevity?

Answering these types of questions requires high-caliber computational tools. Zipline is seeking an engineering intern that can understand system-level problem statements, appreciate the tradeoffs between accuracy and computational efficiency, and architect elegant code tools. The outputs of these tools will directly drive critical architectural and operational decisions at the aircraft and fleet level.

What You'll Do

  • Develop computational tools to automate high-level design trades, optimizations, and sensitivity studies
  • Improve the performance and flexibility of simulation frameworks
  • Build physics-based models that underlie aircraft performance simulations
  • Analyze test data to validate vehicle component models
What You'll Bring
  • A drive to help people and make the world a better place
  • A basic understanding of fundamental physics:
    • Energy and power
    • Heat transfer 
    • Electrical circuits
    • Dynamics (kinematics, forces, moments, acceleration/rotation)
    • Fluids and aerodynamics
  • Passion for tackling challenging multidisciplinary problems
  • The ability to recognize tradeoffs in the design of complex computational analysis frameworks 
  • Expertise in Matlab, Python, Julia, Rust, or similar; for modeling, simulation, optimization, and/or data analysis
  • Proficiency in numerical methods 

Nice to have:

  • Basic understanding of batteries, electric motors, and/or aircraft dynamics; and typical approaches to modeling them
  • Experience interpreting experimental data
  • Experience with model-based systems design, ideally in an extracurricular setting
What Else You Should Know 

Zipline is an equal opportunity employer and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws or our own sensibilities.

Zipline is also committed to providing reasonable accommodations to individuals with disabilities. Please let your point of contact at Zipline know if you require any accommodations throughout your interview process.

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