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

... Physics, or related technical field, plus 5+ years of relevant experience. • Background in ... such as C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK (desired). • Drive ...

Qualifications Bachelor's degree in Systems, Aeronautical, Mechanical, Test Engineering, Physics ... Experience with M&S tools/technologies such as C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA ...

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 ...

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 ...

Incorporate aerodynamic data from flight testing, wind tunnel testing, and CFD simulations into ... Proficiency with Python or MATLAB for engineering analysis and modeling * Experience using version ...

Incorporate aerodynamic data from flight testing, wind tunnel testing, and CFD simulations into ... Proficiency with Python or MATLAB for engineering analysis and modeling * Experience using version ...

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Physics Simulation Python information

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$11.2K

$69.1K

$124.2K

How much do physics simulation python jobs pay per year?

As of Jul 10, 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 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 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 July 2026, with employment types broken down into 89% Full Time, and 11% Part Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $69,129 per year, or $33.2 per hour.
Modeling and Simulation Engineer

Other

Posted 28 days ago


SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

66th of 208 rated it services


Job description

SAIC is looking for a Modeling and Simulations Engineer with NRO experience who's ready to help shape the next generation of national space capabilities. In this role, you won't just support a rapidly growing Intelligence Community customer - you'll be part of a mission driven team pushing the boundaries of Modeling & Simulation and SETA support for critical NRO programs. 

This role puts you at the heart of efforts to strengthen the NRO's space resiliency posture - ensuring our nation's most critical space assets remain ready, reliable, and effective. Your work will help shape the technical direction of systems that support national security every single day.


If you're energized by solving tough technical problems and want your work to have real operational impact, this is where you can make it happen.


Responsibilities may include but are not limited to the following:
Lead system level analysis and performance evaluations that directly inform strategic decisions.
Tackle complex, high stakes mission challenges across design, integration, and operational readiness.
Identify and assess emerging technologies that can elevate future mission capabilities.
Support enterprise wide verification and validation to ensure systems perform when it counts.
Review system discrepancies and drive meaningful resolutions that improve mission assurance.
Evaluate resources, schedules, and integration plans for major test and transition efforts.
Capture lessons learned and best practices that strengthen the broader mission enterprise.
Support occasional non standard hours to meet critical timelines.
Travel as needed to stay engaged with mission partners and stakeholders.

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.

Bachelor's degree in Systems, Aeronautical, Mechanical, Test Engineering, Physics, or related technical field, plus 5+ years of relevant experience.
Background in engineering analysis, mission operations, or ground system support is a big plus.
Active TS/SCI with Polygraph.
Strong communication and customer engagement skills.
Excellent writing and interpersonal abilities.
Experience with M&S tools/technologies such as C++, Python, R, SQL, PostgreSQL, Linux, MATLAB, VBA, or STK (desired).
Drive, initiative, and the ability to excel in a fast paced, mission focused environment.


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