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Physics Simulation Python Jobs in Ashburn, VA (NOW HIRING)

... Python, or equivalent) to represent tactics, decision logic, and mission flows. • Translate ... physics, operations research, applied mathematics, or related field. • 10+ years of experience ...

Script scenario behaviors using AFSIM scripting languages (Lua, Python, or equivalent) to represent ... physics, operations research, applied mathematics, or related field. 10+ years of experience with ...

... Python, or equivalent) to represent tactics, decision logic, and mission flows. • Translate ... physics, operations research, applied mathematics, or related field. • 10+ years of experience ...

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Physics Simulation Python information

See Ashburn, VA salary details

$11.2K

$69.1K

$124.2K

How much do physics simulation python jobs pay per year?

As of Sep 12, 2026, the average yearly pay for physics simulation python in Ashburn, VA is $69,129.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,000.00 and $81,300.00 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 Ashburn, VA?

For Physics Simulation Python jobs in Ashburn, VA, the most frequently searched job titles are:

What cities near Ashburn, VA are hiring for Physics Simulation Python jobs?

Cities near Ashburn, VA with the most Physics Simulation Python job openings:

Infographic showing various Physics Simulation Python job openings in Ashburn, VA as of September 2026, with employment types broken down into 90% Full Time, and 10% Part Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $69,129 per year, or $33.2 per hour.

Lead Modeling and Simulation Engineer

Arlington, VA • On-site

Science Applications International Corporation
IT Services • 10K+ employees

Full-time

Posted 25 days ago


SAIC rating

7.7

Company rating: 7.7 out of 10

Based on 82 frontline employees who took The Breakroom Quiz


Job description


SAIC is seeking a Lead Modeling and Simulation Engineer to support the design, development, and execution of AFSIM-based simulation capabilities. This role combines hands-on C++ plugin and extension development with mission-level scenario modeling and analysis, delivering high-fidelity simulation tools that inform capability development, CONOPS evaluation, and system-of-systems performance assessments. The ideal candidate will partner closely with analysts and engineers to convert operational modeling requirements into robust, maintainable software features while also contributing directly to scenario development and quantitative analysis efforts.
Key Responsibilities
• Lead a development effort to integrate AFSIM with a cloud based C2 environment
• Develop, configure, and execute mission-level scenarios in AFSIM aligned with analytical objectives, including sensor, weapon, and platform models with detection logic, engagement behaviors, and environmental interactions.
• Script scenario behaviors using AFSIM scripting languages (Lua, Python, or equivalent) to represent tactics, decision logic, and mission flows.
• Translate analyst requirements into software features, ensuring correctness, performance, and maintainability.
• Conduct scenario validation, ensuring correctness of entity behaviors, timelines, and interactions.
• Perform quantitative analysis of simulation outputs, including MOEs/MOPs, timelines, attrition, sensor performance, and mission outcomes.
• Support development of scenario documentation, assumptions, and analytical traceability.
• Collaborate with senior analysts to design experiment architectures, vignettes, and sensitivity studies.
• Maintain and update scenario libraries, model configurations, software documentation, API references, and integration guides for reuse across programs.
• Support build system configuration, version control workflows, and continuous integration pipelines.
• Ensure code quality through unit testing, peer reviews, and adherence to coding standards.
• Support live/virtual simulation environments and distributed simulations over DIS/HLA.
• Support customer simulation and training events as required.
Qualifications
Required Qualifications
• Bachelor's degree in computer science, software engineering, engineering, physics, operations research, applied mathematics, or related field.
• 10+ years of experience with modeling and simulation, particularly at the mission level.
• 2+ years of experience leading an analysis or development team.
• Experience with live/virtual simulation environments.
• Experience with AFSIM, NGTS, MACE, or another operator-in-the-loop simulation tool.
• Experience with distributed simulations over DIS/HLA.
• Experience with Python, Bash, or other scripting languages.
• Proficiency in Agile methodologies and tools including Jira and Confluence.
• Ability to work with Git and collaborative development workflows.
Preferred Qualifications
• Docker/Kubernetes or other containerization tools.
• AWS or other cloud services experience.
• CI/CD integration experience.
• C++ and AFSIM development experience.
• Domain experience in Sensor Modeling, Link 16, or Command and Control Systems.
• Experience supporting customer simulation and training events.
• Experience with sensor modeling, detection theory, or engagement logic.
• Exposure to DoD mission threads, CONOPS, or system-of-systems analysis.
• Ability to communicate analytical findings clearly to both technical and non-technical audiences.
About Us
SAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.
We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

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