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

Inversion

Simulation Engineer I, Arc Vehicle

Vista, CA · On-site

$71K - $124K/yr

What You'll Do As a Simulation Engineer at Inversion, you will focus on developing, automating, and ... or Python in a Linux environment. * Strong foundational understanding of physics, classical ...

Leidos

Applied Physicist III

San Diego, CA · On-site

$87K - $157K/yr

Experience developing, analyzing, or validating physics-based models, simulations, or scientific algorithms. Excellent analytical, mathematical, and problem-solving skills. Fluency in MATLAB, Python ...

Leidos

Applied Physicist III

San Diego, CA · On-site

$87K - $157K/yr

... physics-based models, simulations, or scientific algorithms. • Excellent analytical, mathematical, and problem-solving skills. • Fluency in MATLAB, Python, or a similar high-level scientific ...

Inversion

Staff Aerothermal CFD Engineer

Vista, CA · On-site

$161K - $221K/yr

Successful candidates will have a background in DSMC simulation or familiarity with multi-physics ... Experience using programming languages like Python, Fortran, C++, MATLAB, etc. * Involvement in ...

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

Physics Simulation Python information

See Fallbrook, CA salary details

$11.5K

$70.9K

$127.3K

How much do physics simulation python jobs pay per year?

As of Jun 19, 2026, the average yearly pay for physics simulation python in Fallbrook, CA is $70,854.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,100.00 and $83,300.00 per year, depending on experience, location, and employer.

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 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 job categories do people searching Physics Simulation Python jobs in Fallbrook, CA look for? The top searched job categories for Physics Simulation Python jobs in Fallbrook, CA are:
What cities near Fallbrook, CA are hiring for Physics Simulation Python jobs? Cities near Fallbrook, CA with the most Physics Simulation Python job openings:
Physics Simulation Python jobs near you
Infographic showing various Physics Simulation Python job openings in Fallbrook, CA as of June 2026, with employment types broken down into 82% Full Time, and 18% Temporary. Highlights an 84% In-person, and 16% Remote job distribution, with an average salary of $70,854 per year, or $34.1 per hour.
Simulation Engineer I, Arc Vehicle

Simulation Engineer I, Arc Vehicle

Inversion

Vista, CA • On-site

$71K - $124K/yr

Full-time

Posted 8 days ago

Job description

Turning Space into a Transportation Layer for Earth
Who We Are:
Inversion builds advanced reentry systems to deliver next-generation capabilities from space.
Our mission is to make Earth radically more accessible by turning Low-Earth Orbit into an on-demand logistics domain. We see space not as a destination, but as a platform - one that unlocks unprecedented speed and global reach.
Our spacecraft are designed to deliver payloads anywhere on Earth in under an hour, operating through extreme reentry conditions and landing with high precision. These systems open the door to new ways of testing, delivering, and operating at hypersonic speeds.
Inherently dual-use, our technology is built to meet urgent national security needs while laying the groundwork for future commercial applications. Backed by leading investors including Y Combinator, Spark Capital, and Lockheed Martin Ventures, and working with partners such as the U.S. Space Force and NASA, Inversion is pushing the boundaries of what's possible in space-based defense and logistics.
What You'll Do
As a Simulation Engineer at Inversion, you will focus on developing, automating, and maintaining the simulation and testing environments that validate our flight systems. You will play a key role in bridging the gap between GNC, Software, and Simulation teams, specifically supporting the pipeline that translates MATLAB-based GNC algorithms into autocoded C/C++ flight software. Working under the guidance of senior simulation engineers, you will build tools and workflows that enable fast, repeatable verification of flight software and hardware under realistic flight conditions using Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) environments.
Key Responsibilities
  • Develop, test, and maintain simulation models for spacecraft subsystems, environmental dynamics, and hardware interfaces.
  • Support the execution, automation, and scaling of Software-in-the-Loop (SIL) and Hardware-in-the-Loop (HIL) testing runs.
  • Write and optimize data-processing pipelines and visualization scripts to analyze simulation outputs and verify vehicle-level requirements.
  • Integrate internal guidance, navigation, and control (GNC) algorithms, aerodynamic databases, and sensor models into the core simulation platform.
  • Develop and run automated unit tests, integration tests, and regression suites to ensure simulation platform stability.
  • Maintain and troubleshoot simulation backend infrastructure, high-performance computing (HPC) nodes, and physical testbeds.
  • Document simulation setups, API interfaces, and user guides to empower product engineering teams to run self-service simulation workflows.

Required Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Aerospace Engineering, Mechanical Engineering, or equivalent technical experience.
  • Typically 1+ years of internship, academic research, or professional experience developing software, physics-based simulations, or numerical models.
  • Proficiency in programming languages such as C++ or Python in a Linux environment.
  • Strong foundational understanding of physics, classical mechanics, dynamics, and numerical analysis.
  • Familiarity with standard software development practices, including version control (Git).
  • Excellent verbal and written communication skills with a strong motivation to learn and take on technical ownership of complex codebases.

Desired Qualifications
  • Familiarity with aerospace simulation tools, physics engines, or numerical frameworks (such as MATLAB/Simulink, ROS/ROS2, or custom C++ engines).
  • Familiarity with continuous integration (CI/CD) pipelines, containerization (Docker), and cloud or HPC infrastructure.
  • Familiarity with hardware-in-the-loop (HIL) testing, processors-in-the-loop (PIL), or interfacing hardware with software simulations.
  • Demonstrated technical execution through collegiate engineering teams (such as Formula SAE, rocket clubs, or robotics design groups).
  • Prior internship experience in a fast-paced aerospace, robotics, or high-tech startup environment.

Our office headquarters is located in Playa Vista, CA. This position requires in office presence.
The California annual base salary for this role is currently $71,000 - $124,000. Pay Grades are determined by role, level, location, and alignment with market data. Individual pay will be determined on a case-by-case basis and may vary based on the following considerations: interviews and an assessment of several factors that are unique to each candidate, job-related skills, relevant education and experience, certifications, abilities of the candidate and internal equity.
ITAR Compliance:
To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.
Equal Employment Opportunity:
Inversion provides equal employment opportunities to all employees and applicants without regard to race, color, religion, age, sex, gender identity, sexual orientation, national origin, veteran status, or disability.
Inversion collects and processes personal data in accordance with applicable data protection laws. If you are a US Job Applicant see the CCPA Privacy Policy Noticefor further details.

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