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Physics Simulation Python Jobs in Virginia (NOW HIRING)

SAIC

Modeling and Simulation Engineer

Chantilly, VA

Develop and maintain physics-based simulation models of spacecraft systems, including structures ... Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis ...

SAIC

Modeling and Simulation Engineer

Chantilly, VA · On-site

Develop and maintain physics-based simulation models of spacecraft systems, including structures ... Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis ...

SAIC

Modeling and Simulation Engineer

Chantilly, VA

Develop and maintain physics-based simulation models of spacecraft systems, including structures ... Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis ...

NT Concepts

Simulation Specialist

Chantilly, VA · On-site

Monitor advancements in AI, cloud computing, physics-based modeling, and immersive visualization to ... Proficiency in at least one high-level programming language (e.g., Python, C++, Java, MATLAB, Julia ...

NT Concepts

Simulation Specialist

Chantilly, VA · Hybrid

Monitor advancements in AI, cloud computing, physics-based modeling, and immersive visualization to ... Proficiency in at least one high-level programming language (e.g., Python, C++, Java, MATLAB, Julia ...

SAIC

Radar Modeling Simulation Engineer

Chantilly, VA · On-site

You will work at the intersection of physics-based modeling , orbital mechanics , sensor ... Automate modeling workflows - Use Python, MATLAB, or similar tools to automate simulation pipelines ...

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Physics Simulation Python information

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 Virginia? For Physics Simulation Python jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Physics Simulation Python jobs in Virginia look for? The top searched job categories for Physics Simulation Python jobs in Virginia are:
What cities in Virginia are hiring for Physics Simulation Python jobs? Cities in Virginia with the most Physics Simulation Python job openings:
Physics Simulation Python jobs near you
Modeling and Simulation Engineer

Modeling and Simulation Engineer

SAIC

Chantilly, VA

Full-time

Posted 10 days ago

SAIC rating

7.8

Company rating: 7.8 out of 10

Based on 78 frontline employees who took The Breakroom Quiz

68th of 203 rated it services

Job description

Job ID: T2510923

Location: Chantilly, VA, US

Date Posted: 2026-03-05

Category: Engineering and Sciences

Subcategory: Modeling/Sim Engr

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: TS.SCI_wPoly

Clearance Level Must Be Able to Obtain: None

Potential for Remote Work: ORA_ON_SITE


Description



SAIC is seeking an experienced Modeling and Simulation Engineer to support a customer in Chantilly, VA. The successful applicant will demonstrate flexibility in task execution and provide technical expertise on a variety of Modeling and Simulation (M&S) topics, including system performance modeling, design analysis, scenario development, and data visualization. In this role, the successful candidate may also assist with Systems Engineering topics (e.g., requirements, configuration management, readiness, verification and validation, etc.) to ensure comprehensive continuity across multiple program activities. As a trusted advisor, the candidate will be required to deliver value-added judgment and provide well-informed recommendations to the customer on program objectives, technical strategies, and system capabilities. The successful candidate will produce thorough, actionable, and consistent deliverables that align with the organization's goals and objectives in the modeling and simulation domain. The successful candidate will:

  • Develop and maintain physics-based simulation models of spacecraft systems, including structures, sensors, and mission environments.
  • Perform end-to-end performance modeling for satellite missions, integrating sensor, orbital, and environmental models.
  • Conduct sensor phenomenology studies, including optical, infrared, or radar modeling for detection, tracking, and signature analysis.
  • Perform orbital mechanics modeling including orbit determination, orbital maneuvering, and spacecraft flight dynamics
  • Use scripting languages (Python, MATLAB, or similar) to automate workflows, perform data analysis, and interface between simulation tools.
  • Collaborate with multidisciplinary teams (systems engineering, GNC, payload, mission design) to ensure model fidelity and consistency.
  • Generate technical documentation, simulation reports, and visualizations to communicate findings and support design decisions.
  • Support trade studies and design reviews by providing modeling insights into performance impacts of design changes.

Qualifications


  • Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field with 5+ years of professional technical experience
  • Bachelor's or Master's degree in Aerospace Engineering, Mechanical Engineering, Physics, or a related field with 5+ years of professional technical experience.
  • 3+ years of experience in modeling and simulation for aerospace or space systems.
  • Active Top Secret/SCI w/Poly Clearance.
  • Strong understanding of sensor phenomenology --such as optical, infrared, or radar systems --and associated modeling methods.
  • Intermediate Python programming experience, demonstrated through hands-on experience with tasks such as data manipulation, automation, and development of Python-based solutions. Experience with libraries such as NumPy, SciPy, pandas, and matplotlib is beneficial.
  • Ability to communicate technical results clearly in written and verbal formats.

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