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Physics Simulation Python Jobs in Ohio (NOW HIRING)

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

This is hands-on engineering work - you will be designing and building Python-based software tools ... Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ...

Software Engineer, Senior

Dayton, OH · On-site +1

$119K - $157K/yr

Design, develop, and maintain Python-based software tools supporting optical signature modeling ... Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ...

Software Engineer, Senior

Dayton, OH · On-site

$119K - $157K/yr

Design, develop, and maintain Python-based software tools supporting optical signature modeling ... Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a ...

Overview Seeking an experienced Advanced Framework for Simulation, Integration and Modeling (AFSIM ... Required Qualifications • Bachelor's degree in Engineering, Physics, Mathematics, Operations ...

Overview Seeking an experienced Advanced Framework for Simulation, Integration and Modeling (AFSIM ... Python/Lua where appropriate) to configure scenarios, behaviors, and batch runs for government ...

Overview Seeking an experienced Advanced Framework for Simulation, Integration and Modeling (AFSIM ... Python/Lua where appropriate) to configure scenarios, behaviors, and batch runs for government ...

... simulation software development frameworks. * Bachelor's degree in Engineering or Physics ... At least one additional programming/software development language (C, C++, Python). * Familiarity ...

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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 job categories do people searching Physics Simulation Python jobs in Ohio look for? The top searched job categories for Physics Simulation Python jobs in Ohio are:
What cities in Ohio are hiring for Physics Simulation Python jobs? Cities in Ohio with the most Physics Simulation Python job openings:

Software Engineer, Senior with Security Clearance

GRVTY

Dayton, OH • On-site

$119K - $157K/yr

Other

Posted 15 days ago


Job description

What Impact You'll Have GRVTY is looking for a Senior Software Engineer to join a small, technically focused team supporting national security missions at a customer site in Dayton, Ohio. This is hands-on engineering work - you will be designing and building Python-based software tools that support optical signature modeling, spectral data analysis, and machine learning-enabled sensor workflows. The work spans algorithm development, data pipeline construction, and integration of ML capabilities into operational and analytical environments. You will work directly with scientists, sensor domain experts, and intelligence analysts - translating complex technical requirements into functional, maintainable software. This is not a role for someone looking to coast. We want someone who is technically sharp, can operate with a degree of autonomy, and understands that the software they build has real downstream impact on mission outcomes. What You'll be Owning * Design, develop, and maintain Python-based software tools supporting optical signature modeling, spectral sensor data processing, and analytical workflows. * Work with sensor physicists, data scientists, and machine learning engineers to translate technical concepts and mission requirements into working software. * Build and optimize data pipelines for ingesting, processing, and analyzing large-scale scientific and sensor datasets. * Develop and integrate machine learning workflows - including training data preparation, model integration, and evaluation - into operational toolsets. * Create clear software architecture documentation, workflow diagrams, and code structure so tools can be maintained, extended, and transitioned effectively. * Test, validate, and troubleshoot algorithms and software modules across development and deployment environments, including classified workspaces. * Manage and maintain Git repositories with discipline - clean commits, meaningful documentation, and reproducible builds. * Contribute to a culture of technical rigor: peer reviews, coding standards, and honest engagement with complex problems. What You Must Have * Active Top Secret clearance with ability to obtain SCI and CI polygraph. * Bachelor's degree in Computer Science, Engineering, Physics, Mathematics, Data Science, or a related STEM field. Equivalent hands-on experience will be considered. * 9+ years of professional software development experience, with demonstrated focus on scientific computing, algorithm development, data processing, or related technical domains or 7+ years of experience and a Masters degree * Expert-level Python programming, including object-oriented design, modular architecture, and production-quality code. * Experience developing software for data-intensive workflows - sensor data, scientific data, simulation, or equivalent. * Ability to work from technical or scientific requirements and produce well-structured software architecture, logic flows, and implementation plans. * Comfortable operating in both Windows and Linux environments, including secure or classified customer workspaces. * Familiarity with source control and development tooling: Git, GitLab, Bitbucket, Jira, Jenkins, or equivalent. * Strong communication skills - able to work directly with domain experts who are not software engineers and translate what they need into software that actually works. What Would be Nice to Have * Experience with optical signature modeling, EO/IR sensor data, spectral analysis, or hyperspectral data processing. * Familiarity with machine learning frameworks and workflows: PyTorch, TensorFlow, scikit-learn, or equivalent. * Experience with scientific Python libraries: NumPy, pandas, OpenCV, SciPy, or similar. * Background in signal processing, image processing, or remote sensing data workflows. * Experience with simulation, modeling, or mission analysis software in a defense or intelligence context. * Familiarity with ML/Ops practices - training pipelines, data labeling, model evaluation, and deployment workflows. * Experience integrating algorithms into existing operational software suites. * Proficiency in a secondary technical language: C, C++, MATLAB, Java, or Rust. * Advanced degree in a relevant technical field (Computer Science, Electrical Engineering, Physics, Image Science, or related). * Prior experience supporting defense, intelligence, or classified customer environments. * Experience with CI/CD practices, automated testing, and DevSecOps tooling.