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Physics Simulation Python Jobs in San Francisco, CA

Hammerhead AI

Simulation Engineer

Redwood City, CA · On-site

Proficiency in Python, Go and/or C++ and experience with simulation frameworks or libraries. * Physics-Based Modeling: Strong understanding of first-principles modeling, with experience capturing the ...

HammerheadAI

Simulation Engineer

Redwood City, CA · On-site

Proficiency in Python, Go and/or C++ and experience with simulation frameworks or libraries. * Physics-Based Modeling: Strong understanding of first-principles modeling, with experience capturing the ...

Luminary Cloud

Geometry/Meshing Engineer

San Mateo, CA · On-site

... for physics simulation (e.g., CFD, structural analysis, thermal simulation) and Physics AI ... Proficient in Python. Enterprise-level software development and testing practices. * Operates at ...

Luminary Cloud

Geometry/Meshing Engineer

San Mateo, CA · On-site

$180 - $240/hr

... for physics simulation (e.g., CFD, structural analysis, thermal simulation) and Physics AI ... Proficient in Python. Enterprise-level software development and testing practices. * Operates at ...

Skild AI

Machine Learning Engineer

San Mateo, CA

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 ...

1X Technologies AS

Simulation Engineer

San Carlos, CA · On-site

$119K - $203K/yr

Deep understanding of physics-based modeling, including thermal, structural, and dynamic systems ... Proficiency with Python, MATLAB, or similar scripting languages for workflow automation and post ...

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All JobsPhysics Simulation Python JobsPhysics Simulation Python Jobs in San Francisco, CA

Physics Simulation Python information

See San Francisco, CA salary details

$13K

$79.6K

$143.1K

How much do physics simulation python jobs pay per year?

As of Aug 21, 2026, the average yearly pay for physics simulation python in San Francisco, CA is $79,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,800.00 and $93,700.00 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 San Francisco, CA?

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

What job categories do people searching Physics Simulation Python jobs in San Francisco, CA look for?

The top searched job categories for Physics Simulation Python jobs in San Francisco, CA are:

What cities near San Francisco, CA are hiring for Physics Simulation Python jobs?

Cities near San Francisco, CA with the most Physics Simulation Python job openings:

Physics Simulation Python jobs near you
Infographic showing various Physics Simulation Python job openings in San Francisco, CA as of August 2026, with employment types broken down into 1% Internship, 87% Full Time, 4% Part Time, and 8% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $79,646 per year, or $38.3 per hour.

Founding Simulation Engineer - Godela

Godela (YC X25)

San Francisco, CA • On-site

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Godela is a pioneering company focused on building a Physics Foundation Model, an AI platform designed to predict and simulate physical behavior. They are looking for a Founding Simulation Engineer to define data methodologies and validation strategies to ensure their models accurately reflect the complexities of the physical world.
Responsibilities:
• Define the methodology for representing physical systems in data and models—balancing accuracy, scale, and generalization.
• Own the strategy for validating and verifying our model outputs against ground-truth simulation and experimental data.
• Generate and curate simulation data across multiple physics domains (CFD, FEA, multiphysics), ensuring high-fidelity coverage of complex behaviors.
• Build scalable pipelines and standards for turning simulation and experimental data into training-ready datasets.
• Drive the research and engineering of novel techniques for data augmentation, curation, and generation.
• Collaborate with ML researchers to integrate new architectures, ensuring data and models align with physical truth.
• Work directly with the founders to set strategy: which physical behaviors to target, how to represent them, and how to scale methods across domains.
Qualifications:
Required:
• Hands-on CAD generation and Simulation Expertise: Deep experience with one or more simulation domains (e.g., CFD, FEM, DEM) and commercial or open-source solvers (e.g., Star-CCM+, Fenics/dolfinx, OpenFOAM).
• Robust Programming Skills: Strong proficiency in Python is a must. Experience with C++ or other compiled languages for performance-critical tasks is a big plus.
• Data Pipelining Experience: Proven track record of building and managing data pipelines for large datasets, preferably in a scientific or engineering context.
• Problem-Solving Mentality: A demonstrated ability to creatively solve complex, unstructured problems.
Preferred:
• Solver development experience
• Familiarity with ML frameworks like PyTorch, JAX, or TensorFlow.
• Experience with parallel and distributed computing for simulation or data processing.
• Experience with Graph Neural Networks, Physics-Informed Neural Networks, Neural Operators, and Transformer architectures
• System-Level Thinking: Experience with cloud computing platforms (AWS, GCP, or Azure) and high-performance computing (HPC) environments (Slurm, PBS).
Company:
AI-powered physics models that replace simulation. Founded in 2025, the company is headquartered in San Francisco, USA, with a team of 2-10 employees. The company is currently Early Stage.

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