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Physics Simulation Python Jobs in Los Angeles, CA

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... Python for data analysis. • Ability to work extended hours and weekends as necessary. • Ability ... Preferred : • Experience working with numerical solvers for complex physics domains (e.g., tools ...

SpaceX

Software Engineer, Simulation

Hawthorne, CA · On-site

... Python for data analysis. • Ability to work extended hours and weekends as necessary. • Ability ... Preferred : • Experience working with numerical solvers for complex physics domains (e.g., tools ...

Revel

Simulation Software Engineer

Los Angeles, CA · On-site

... physics and applied mathematics, including thermodynamics, and fluid dynamics. • Excellent ... Preferred : • Strong proficiency in TypeScript and/or Python. • Proficiency in modern web ...

CX2

Lead Modeling & Simulation Engineer

El Segundo, CA

$180K - $220K/yr

... Python, C++, or similar simulation environments. * Experience modeling dynamic systems, control systems, estimation algorithms, or autonomous behaviors. * Strong understanding of physics-based ...

CX2

Lead Modeling & Simulation Engineer

El Segundo, CA

$180K - $220K/yr

... Python, C++, or similar simulation environments. * Experience modeling dynamic systems, control systems, estimation algorithms, or autonomous behaviors. * Strong understanding of physics-based ...

CX2

Lead Modeling & Simulation Engineer

El Segundo, CA · On-site

$180K - $220K/yr

... Python, C++, or similar simulation environments. * Experience modeling dynamic systems, control systems, estimation algorithms, or autonomous behaviors. * Strong understanding of physics-based ...

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All JobsPhysics Simulation Python JobsPhysics Simulation Python Jobs in Los Angeles, CA

Physics Simulation Python information

See Los Angeles, CA salary details

$11.9K

$72.8K

$130.9K

How much do physics simulation python jobs pay per year?

As of Jul 16, 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 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.

Does NASA hire physicists?

Yes, NASA hires physicists for roles involving research, space science, and engineering projects. These positions often require advanced degrees in physics or related fields and familiarity with scientific tools and data analysis methods. Physicists at NASA contribute to mission development, data interpretation, and technological innovation.

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.

Is Python still in demand in 2026?

Python remains highly in demand for physics simulation roles in 2026 due to its versatility, extensive libraries like NumPy and SciPy, and strong community support. Professionals skilled in Python, along with knowledge of scientific computing and simulation frameworks, are sought after in research, engineering, and development environments.

Who hires computational physicists?

Computational physicists are hired by research institutions, government laboratories, universities, and private industry companies involved in scientific research, technology development, and simulation modeling. They often work in fields such as aerospace, defense, energy, and software development, utilizing programming skills and scientific expertise to solve complex physical problems.

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.

Is Python good for physics simulation?

Physics simulation Python roles often require knowledge of Python libraries such as NumPy, SciPy, and PyBullet, which are well-suited for modeling physical systems. Python's ease of use, extensive scientific computing ecosystem, and ability to integrate with other tools make it a popular choice for developing and running physics simulations in research and industry. Proficiency in numerical methods and understanding of physics principles are also important for these positions.
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 - Operations Analysis

Modeling & Simulation Engineer - Operations Analysis

Hikinex

Los Angeles, CA • On-site

$140K - $190K/yr

Full-time

Medical, Retirement, PTO

Posted 3 days ago

Job description

Location: The Greater Los Angeles Metropolitan Area, CA (Onsite)
If you're interested in learning more about this opportunity or beginning the interview process, feel free to connect directly via LinkedIn:
LinkedIn: https://www.linkedin.com/in/ra...
Modeling & Simulation Engineer - Operations Analysis
An advanced defense technology company is seeking a Modeling & Simulation Engineer to support operational analysis, mission effectiveness studies, and system performance evaluation across next-generation defense and aerospace programs.
This role focuses on building and executing high-fidelity simulations that help evaluate sensors, communications systems, missiles, aircraft, autonomous systems, and mission-level engagements in operationally relevant scenarios.
The ideal candidate combines strong analytical and statistical capability with hands-on simulation experience and a deep understanding of mission systems, kill chains, and operational environments.
This is a highly technical role suited for engineers who thrive in fast-paced environments and enjoy solving complex defense and mission-analysis problems.
Responsibilities
  • Design, develop, execute, and analyze mission-level modeling and simulation studies
  • Evaluate system performance and operational effectiveness across complex defense scenarios
  • Build and refine models for sensors, communications systems, aircraft, autonomous systems, missiles, and other mission assets
  • Perform operational analysis using simulation environments such as AFSIM, ESAMS, STK, Brawler, or equivalent mission-level frameworks
  • Apply rigorous statistical analysis methods to simulation outputs to quantify effectiveness, identify trends, and support decision-making
  • Develop Python- and/or MATLAB-based tools for simulation automation, data processing, visualization, and analysis
  • Support modeling efforts spanning radar performance, weapon employment, tracking, guidance, and engagement analysis
  • Create technical reports, visualizations, briefing materials, and operational assessments for technical and non-technical stakeholders
  • Collaborate closely with engineering, systems, and customer-facing teams to translate operational questions into analytical studies
  • Maintain software development best practices including version control, reproducibility, and scalable workflows
Qualifications
  • Bachelor's degree or higher in Engineering, Computer Science, Physics, Mathematics, Statistics, Operations Research, Data Science, or related technical discipline
  • 5+ years of experience supporting defense, aerospace, intelligence, or advanced technology programs
  • Strong understanding of mission analysis, weapon employment concepts, or operational kill chains
  • Experience with one or more operational simulation tools such as:
    • AFSIM
    • ESAMS
    • STK
    • Brawler
    • Physics-based simulation environments
  • Strong Python and/or MATLAB programming skills for scientific computing and analysis
  • Solid statistical analysis and data interpretation capability
  • Experience building analytical workflows, simulations, or mission-level studies with minimal oversight
  • Strong understanding of physics, kinematics, and system-level interactions in operational environments
  • Comfortable working in Linux-based environments and developing scalable analysis tools
  • U.S. citizenship required; ability to obtain a Top Secret clearance required
Preferred Experience
  • Radar performance analysis and sensor effectiveness modeling
  • Missile systems, guidance, tracking, or engagement analysis
  • Modeling and simulation of aircraft, autonomous systems, spacecraft, or communications systems
  • Operations analysis or mission engineering experience within defense organizations or government programs
  • Familiarity with Distributed Interactive Simulation (DIS), SIMDIS, VR-Forces, or related visualization environments
  • Experience with software-in-the-loop simulation, autonomy systems, or guidance/navigation/control frameworks
  • Experience supporting DoD, DARPA, AFRL, ONR, intelligence community, or related government programs
  • Active TS/SCI clearance
  • Familiarity with machine learning workflows, GPU acceleration, or advanced scientific computing libraries is a plus
What Makes This Opportunity Unique
This role offers the opportunity to help build a new operational analysis and modeling capability within a rapidly growing advanced defense environment.
The team is looking for engineers who can bridge rigorous analytical thinking with practical mission understanding - people who understand not only how to build simulations, but also how to interpret operational outcomes and identify what truly matters in mission execution.
You'll work on technically challenging problems spanning sensors, weapons, autonomous systems, and mission-level performance evaluation in support of high-impact national security programs.
Additional Information
  • Competitive compensation and equity package
  • Comprehensive healthcare coverage
  • 401(k) matching
  • PTO flexibility
  • Relocation assistance may be available
  • Full-time onsite collaboration environment
  • U.S. citizenship required due to security and export control requirements

Location: The Greater Los Angeles Metropolitan Area, CA (Onsite)
To learn more or express interest, connect directly via LinkedIn:
LinkedIn: https://www.linkedin.com/in/ra...
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About Hikinex

Sourced by ZipRecruiter

Hikinex is a multi-channel integrated service provider designed to help Companies scale fast and drive more profit. We leverage diverse resources to provide Superior services at a fraction of the cost.

Industry

Strategic planning consulting services

Company size

51 - 200 Employees

Headquarters location

San Francisco, CA, US

Year founded

2016

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