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Physics Simulation Python Jobs in Florida (NOW HIRING)

... Physics, Electrical Engineering, or related STEM field). * Proficiency in functional programming languages such as Python, R, or Scala. * Strong experience with Modeling & Simulation (M&S) frameworks ...

... Physics, Electrical Engineering, or related STEM field). * Proficiency in functional programming languages such as Python, R, or Scala. * Strong experience with Modeling & Simulation (M&S) frameworks ...

RF Test

Jacksonville, FL · On-site

$150K/yr

... just simulation, EDA, or design work. - Working experience in cryogenic test environments ... characterization role. - Python and scientific computing skills for measurement automation ...

AFSIM Analyst

Port Saint Joe, FL · On-site

$90K - $150K/yr

Our employees have backgrounds in engineering, physics, mathematics, chemistry, computer science ... We are seeking an experienced AFSIM Mission-Level Modeling & Simulation Analyst to build, run, and ...

Perform electromagnetic simulations and validate performance through laboratory and field testing ... Bachelor's degree in Electrical Engineering, Electromagnetics, Physics, or related technical ...

Perform electromagnetic simulations and validate performance through laboratory and field testing ... Master's degree in Electrical Engineering, Electromagnetics, Physics, or related technical ...

Perform electromagnetic simulations and validate performance through laboratory and field testing ... Bachelor's degree in Electrical Engineering, Electromagnetics, Physics, or related technical ...

Support the creation of simulations for physics-based effects such as fluid, cloth, fire, and ... Understanding of scripting (Python for Blender, MAXScript for 3DS Max) is a plus. * Familiarity ...

Bachelor's Degree in Aerospace Engineering, Mechanical Engineering, Physics, Applied Mathematics ... Experience with aerospace modeling and simulation tools such as MATLAB/Simulink, Python, STK, GMAT ...

Flight Dynamicist

Shalimar, FL · On-site

$107K - $195K/yr

Bachelor's Degree in Aerospace Engineering, Mechanical Engineering, Physics, Applied Mathematics ... Experience with aerospace modeling and simulation tools such as MATLAB/Simulink, Python, STK, GMAT ...

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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 cities in Florida are hiring for Physics Simulation Python jobs? Cities in Florida with the most Physics Simulation Python job openings:
Data Scientist

Data Scientist

Redhorse Corporation

Tampa, FL • On-site

Full-time

Re-posted 16 days ago


Job description

About the Organization
Now is a great time to join Redhorse Corporation. We are a solution-driven company delivering data insights and technology solutions to customers with missions critical to U.S. national interests. We’re looking for thoughtful, skilled professionals who thrive as trusted partners building technology-agnostic solutions and want to apply their talents supporting customers with difficult and important mission sets.

About the Role
Redhorse transforms the way government uses data and technology. To support this mission, we are seeking a Senior Data Scientist to support the United States Central Command (USCENTCOM) Directorate of Logistics (CCJ4) at MacDill AFB. In this role, you will play a critical part in accelerating AI-enabled capabilities for the Joint Logistics Enterprise. You will help modernize the Joint Logistics Common Operating Picture (JLOGCOP) by integrating AI/ML capabilities into dozens of automated and manual DoD data feeds. Your work will directly increase the speed of planning and enhance decision-making for missions that promote regional cooperation and deter aggression across the USCENTCOM area of responsibility.
Key Responsibilities
  • Communicate regularly with client leadership regarding enterprise values, project direction, and mission objectives.
  • Identify the intersection between strategic business value, simulation-based forecasting, and achievable technical work within the logistics domain.
  • Articulate and translate complex business questions into technical solutions using available DoD data sources and mission-level modeling outputs.
  • Explore and analyze diverse datasets—including live telemetry and simulated environments—to identify meaningful entities, relationships, and trends.
  • Design and implement robust data ingestion and cleaning pipelines to ensure high-quality inputs for AI/ML models and stochastic simulations.
  • Develop applications, simulation dashboards, and effective data visualizations to communicate complex insights and scenario outcomes to non-technical stakeholders.
  • Serve as a technical ambassador for executive DoD leadership to sponsor and grow data literacy and modeling proficiency across the enterprise.
Required Experience/Clearance
    • An active Secret security clearance is required (TS/SCI eligibility preferred).
    • 8+ years of professional experience in data science, analytics, or Operations Research.
    • Master’s degree from an accredited college or university in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, or related STEM field).
    • Proficiency in functional programming languages such as Python, R, or Scala.
    • Strong experience with Modeling & Simulation (M&S) frameworks (e.g., AFSIM, EADSIM, STORM, or similar mission-level tools).
    • Strong experience with database languages, specifically SQL.
    • Demonstrated ability to discern and apply appropriate statistical and probabilistic modeling approaches for different mission contexts.
    • Proven experience communicating key findings through technical visualizations, simulated course-of-action briefings, and technical reports.
    • Ability to work independently to recommend solutions while collaborating effectively within a cross-functional team.
    • Ability to travel up to 10% as required by the mission.
     
Desired Experience
  • Ph.D. in a quantitative discipline (Statistics, Computer Science, Physics, Electrical Engineering, etc.).
  • Experience integrating simulation data into enterprise-level platforms (e.g., Advana, MAVEN, or C2IE).
  • Experience developing within cloud-based platforms (e.g., AWS, Azure, or GovCloud).
  • Experience with large-scale data processing tools and distributed computing frameworks (e.g., Spark, Databricks).
  • Advanced experience with data visualization tools (e.g., Tableau, PowerBI, or R/Shiny).
  • Familiarity with DoD logistics data, USCENTCOM mission sets, and Joint Staff modeling requirements.
The salary range provided for this position represents the anticipated base salary for successful candidates. Actual compensation will be determined based on a variety of factors, including relevant experience, education, certifications, skills, security clearance level, geographic location, market conditions, and internal equity. In addition to base salary, eligible employees may participate in Redhorse's comprehensive benefits programs and may be eligible for performance-based or other incentive compensation, where applicable.
 
Redhorse Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability, or any other protected class.
 
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to access job openings or apply for a job on this site as a result of your disability. You can request reasonable accommodations by contacting Talent Acquisition at Talent-Acquisition@redhorsecorp.com
 
Redhorse Corporation shall, in its discretion, modify or adjust the position to meet Redhorse’s changing needs. This job description is not a contract and may be adjusted as deemed appropriate in Redhorse’s sole discretion.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.