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Physics Simulation Python Jobs in Los Angeles, CA

SpaceX

Software Engineer, Simulation

Hawthorne, CA

$145K - $175K/yr

Python experience is also required. The team consists of world-class experts in solidification physics, casting, metallurgy, and simulation. Experience with casting or solidification is not required ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA

$145K - $175K/yr

Python experience is also required. The team consists of world-class experts in solidification physics, casting, metallurgy, and simulation. Experience with casting or solidification is not required ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

$145K - $175K/yr

Python experience is also required. The team consists of world-class experts in solidification physics, casting, metallurgy, and simulation. Experience with casting or solidification is not required ...

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$72.8K

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How much do physics simulation python jobs pay per year?

As of May 30, 2026, the average yearly pay for physics simulation python in Los Angeles, CA is $72,841.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,400.00 and $85,700.00 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 are popular job titles related to Physics Simulation Python jobs in Los Angeles, CA? For Physics Simulation Python jobs in Los Angeles, CA, the most frequently searched job titles are:
What job categories do people searching Physics Simulation Python jobs in Los Angeles, CA look for? The top searched job categories for Physics Simulation Python jobs in Los Angeles, CA are:
What cities near Los Angeles, CA are hiring for Physics Simulation Python jobs? Cities near Los Angeles, CA with the most Physics Simulation Python job openings:
Physics Simulation Python jobs near you

Modeling & Simulation Engineer

Singularity Defense Corp.

Gardena, CA • On-site

Full-time

Posted 7 days ago

Job description

About the Company:
We are a stealth-mode Aerospace & Defense startup headquartered in Gardena, CA. Our founding team hails from SpaceX, Anduril, and Lockheed Martin, and we are backed by Joint Staff-level military leadership and several Silicon Valley firms. With a world-class business development & leadership team already in place, we are well positioned to capitalize on already overwhelming demand.
Job Overview:
As a GNC Engineer focused on Simulations, you will lead the development of high-fidelity physics-based simulations for end-to-end missile flight and guidance validation. These simulations serve as a digital proving ground for our flight software, autonomy stack, and control systems-enabling us to iterate rapidly and validate in silico what would otherwise require expensive, slow, or impossible real-world testing.
You'll own simulation architecture, real-time physics integration, and testbed development. If you're comfortable writing performant simulation code in Rust and Python, and you're looking to do impactful work on a system that must work the first time, this is your chance.
Key Responsibilities:
  • Design high-performance 6-DOF flight and physics simulations
  • Build simulation components that replicate real-world dynamics and sensor behavior
  • Integrate guidance, navigation, and control (GNC) logic into full-stack simulations
  • Develop Monte Carlo, Hardware-in-the-Loop (HITL), and closed-loop test infrastructure
  • Collaborate closely with flight software, autonomy, and hardware teams to ensure simulation fidelity matches real-world constraints
  • Create tooling to support scenario authoring, data visualization, and performance analysis
  • Own simulation pipeline performance and determinism across a wide range of conditions

Basic Qualifications:
  • Bachelor's degree in Computer Science or a related technical field
  • 5+ years of experience building simulations or numerical modeling frameworks
  • Proficient in Rust and Python for performance-critical and test-driven development
  • Understanding of rigid body dynamics, kinematics, numerical integration, and physics
  • Experience building tools for flight dynamics, aerospace simulation, or autonomous systems

Preferred Qualifications:
  • Experience with Monte Carlo testing, sensor emulation, and closed-loop control validation
  • Familiarity with real-time systems, latency-sensitive architectures, or distributed simulation
  • Experience deploying or validating autonomous systems (missiles, drones, satellites, or vehicles)
  • Familiarity with Rust game engines or physics libraries (e.g., Rapier, Bevy)
  • Exposure to 3D rendering for simulation visualization (e.g., WebGL, OpenGL, Three.js)
  • Contributions to aerospace open source or simulation frameworks (e.g., JSBSim, Gazebo)

Itar Requirements
  • To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C.
  • 1157, or (iv) Asylee under 8 U.S.C.
  • 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

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