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Physics Simulation Python Jobs in Virginia (NOW HIRING)

ManTech International

Simulation Developer

Quantico, VA · On-site

$141K - $236K/yr

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

$141K - $236K/yr

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 International

Simulation Developer

Quantico, VA · On-site

$141K - $236K/yr

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

$141K - $236K/yr

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

$141K - $236K/yr

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 International

Simulation Developer

Quantico, VA · On-site

$141K - $236K/yr

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 ...

SAIC

Modeling and Simulation Engineer

Chantilly, VA · Remote

$120K - $160K/yr

... 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 ...

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Physics Simulation Python information

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 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
Senior Software Engineer, Systems Programming

Senior Software Engineer, Systems Programming

Sedaro Corporation

Arlington, VA • On-site

$150K - $170K/yr

Full-time

Medical, Retirement, PTO

Posted 20 days ago

Job description

Overview
Sedaro is hiring a Senior Software Engineer to strengthen the performance and reliability of our distributed
multi-physics simulation platform. In this role, you will contribute to the development of our simulation runtimes and leverage the cloud for cutting-edge performance and scale.
  • Team: Simulator, reporting to the Team Lead
  • Location: In person in Arlington, VA or Boston, MA
  • U.S. Citizen or permanent resident status required

Who We Are
Our simulation platform enables digital mission engineering through distributed, scalable, faster than real-time analyses across hundreds of interacting systems. We achieve this by ingesting simulation functions, models, and data, and generating high-performance code and architectures specialized for the given scenario. We maintain runtimes for both massively parallel execution in the cloud as well as execution in resource-constrained environments such as autonomous edge devices. Our technology is built with Rust, Kubernetes, gRPC, and Python. Join us as an early employee and transform how teams collaboratively engineer the next generation of Aerospace & Defense systems.
Who You Are
  • You are energized by novel challenges and unsolved problems
  • You are meticulous in your designs to ensure reliability and extensibility
  • You are motivated to deliver optimized, high-performance systems
  • You explore existing solutions to problems to choose the right tool for the job
  • You enjoy a fast-moving work environment and drive progress on decisions and projects

What You'll Do
  • Enable increasingly massive distributed simulations
  • Lead development of features for both our cloud and edge simulation runtimes
  • Optimize and track performance metrics of our simulations
  • Maximize parallelism and caching in our build systems and services
  • Develop QA frameworks and maintain high reliability standards
  • Provide feedback and guidance on code reviews and design reviews
  • Sustain our internal and external documentation
  • Lead team-wide discussions and research as we continue to innovate on the semantics and implementation of our simulation technology

Benefits
  • Equity
  • Unlimited PTO
  • 401(k) with 4% match
  • 100% premium payment for medical insurance
  • Parental Leave
  • Flexible work schedule with core hours
  • Company provided lunches 3 days a week
  • Industry-leading career development opportunities

Requirements
  • Bachelor's degree in computer science or equivalent experience
  • 6+ years of professional experience in software engineering
  • Experience with Rust or comparable compiled languages
  • Experience profiling and optimizing application performance
  • Comfort with containerization and cloud technologies
  • Excellent technical writing skills

Additional desirable experience:
  • Simulation software, scientific computing
  • HPC, embedded software, game engines, compilers
  • Distributed systems, backend development
  • Unique non-software technology perspectives are welcome

Apply