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Physics Simulation Python Jobs in Washington, DC

MANTECH

Simulation Developer

Quantico, VA · On-site

Experience in programming languages such as C++, C#, Python, or Java * Experience with simulation ... Knowledge of 3D graphics, physics engines, and database management systems (e.g., SQL) * Experience ...

MANTECH

Simulation Developer

Quantico, VA · On-site

Proficiency in programming languages such as C++, C#, Python, or Java * Experience with simulation ... Knowledge of 3D graphics, physics engines, and database management systems (e.g., SQL) * Experience ...

MANTECH

Simulation Developer

Quantico, VA · On-site

Proficiency in programming languages such as C++, C#, Python, or Java * Experience with simulation ... Knowledge of 3D graphics, physics engines, and database management systems (e.g., SQL) * Experience ...

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All JobsPhysics Simulation Python JobsPhysics Simulation Python Jobs in Washington, DC

Physics Simulation Python information

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$12.5K

$76.6K

$137.6K

How much do physics simulation python jobs pay per year?

As of Aug 26, 2026, the average yearly pay for physics simulation python in Washington, DC is $76,565.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,800.00 and $90,000.00 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 Washington, DC?

For Physics Simulation Python jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Physics Simulation Python jobs in Washington, DC look for?

The top searched job categories for Physics Simulation Python jobs in Washington, DC are:

Physics Simulation Python jobs near you

Modeling and Simulation Integration Engineer

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago

Johns Hopkins Applied Physics Laboratory rating

9.6

Company rating: 9.6 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

2nd of 74 rated research

Job description

Description
Are you passionate about improving Precision Strike capabilities for the United States warfighter?
Do you love solving complex problems with sophisticated modeling and simulation (M&S) tools?
Do you thrive in dynamic, collaborative, and fun work environments?
If so, we're looking for someone like you to join our team at APL!
We are seeking a Modeling and Simulation Integration Engineer to characterize and evaluate missile system performance against Precision Strike platforms in complex environments. We are a well-rounded and hardworking team of analysts and developers who support a wide range of government sponsors with many exciting technical problems. As a member of our team, you will develop and use high-fidelity simulation tools to conduct physics-based engagement-level and mission-level analyses, while collaborating with specialists and integrating M&S tools in other fields including (but not limited to): aerodynamics, GNC, propulsion, radar engineering, electronic warfare, software development, systems engineering, and more.
As a Modeling and Simulation Integration Engineer...
  • Your primary responsibility will be to evaluate precision strike platform effectiveness by developing, using, and integrating together an assortment of medium to high fidelity engagement-level modeling and simulation tools across multiple technical specialty areas.
  • You will design and execute structured physics-based one-vs-one and one-vs-few simulation experiments to explore system performance, sensitivities, and trade spaces.
  • You will collaborate with a multi-disciplinary team to use, develop, and improve detailed modeling capabilities.
  • You will build novel data visualization tools for large and complex data sets.
  • You will prepare and present formal documentation to technical specialists, operational partners, and Government sponsors.

Qualifications
You meet our minimum qualifications for the job if you...
  • Have a BS degree in a technical field such as Physics, Mathematics, Mechanical, Aerospace, or other engineering field
  • Have 1+ years of experience analyzing missile systems or working with aerospace systems
  • Have experience with programming languages such as MATLAB or Python
  • Have experience running simulations and investigating driving factors behind results
  • Are able to obtain an Interim Secret level government security clearance by your start date and can ultimately obtain a Top Secret level clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship

You'll go above and beyond our minimum requirements if you...
  • Have a MS or PhD degree in Physics, Mathematics, Mechanical, Aerospace, or other Engineering field
  • Have experience with M&S tools such as AFSIM, ESAMS, SHAZAM, or the Vulnerability Toolkit, to analyze the effectiveness of Missile GN&C, seekers, fuzes, and/or warheads
  • Have strong programming skills with at least one of the following languages: Python, MATLAB / Simulink, C / C++, Fortran
  • Have experience with simulation Design of Experiments (DoE) methods
  • Have experience working with DoD Government customers and industry partners
  • Have an active Top Secret security clearance

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$85,000 Annually
Maximum Rate
$195,000 Annually

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