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Physics Simulation Python Jobs in Monroe, MI (NOW HIRING)

D. in Physics, Applied Physics, Electrical Engineering, Optical Engineering, or a related field ... Strong skills in Python, MATLAB, or similar for data analysis and instrument control * Scientific ...

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

You'll start with well-scoped problems inside our simulators and training pipelines-and ramp ... When you ship here, you can literally watch the physics change. Under the hood, that means training ...

Ph.D. in Physics, Applied Physics, Electrical Engineering, Optical Engineering, or a related ... Strong programming skills using Python, MATLAB, or similar languages for instrument control ...

... simulation, and application to experimental/collected data ... Implement, using software such as MATLAB or Python, advanced signal and image processing algorithms ...

Sr. PCBA Design Engineer

Ann Arbor, MI · On-site

$105K - $137K/yr

Strong electrical engineering and physics fundamentals (analog, optoelectronics design ... Proficiency in Spice and EM (electromagnetic) simulation. * Experience in Opto-electrical design.

Sr. PCBA Design Engineer

Ann Arbor, MI · On-site

$105K - $137K/yr

Strong electrical engineering and physics fundamentals (analog, optoelectronics design ... Proficiency in Spice and EM (electromagnetic) simulation. * Experience in Opto-electrical design.

Sr. PCBA Design Engineer

Ann Arbor, MI

$105K - $137K/yr

Strong electrical engineering and physics fundamentals (analog, optoelectronics design ... Proficiency in Spice and EM (electromagnetic) simulation. * Experience in Opto-electrical design.

Physics Simulation Python information

See Monroe, MI salary details

$10.2K

$62.6K

$112.5K

How much do physics simulation python jobs pay per year?

As of Jul 9, 2026, the average yearly pay for physics simulation python in Monroe, MI is $62,579.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,700.00 and $73,600.00 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.
Software Engineer with Security Clearance

Software Engineer with Security Clearance

Radar Applications Incorporated

Ann Arbor, MI • On-site

Other

Posted 6 days ago


Job description

Job Description
Radar Applications Incorporated (RAI) is a rapidly growing start-up delivering advanced sensor technologies for airborne and satellite radar missions. We seek highly-motivated professionals to support our existing R&D programs and to help us solve challenging problems for our Department of Defense (DoD), Intelligence Community (IC), and commercial customers. We have immediate openings for Software and Signal Processing Engineers in Ann Arbor, MI. RAI offers unrivaled employee compensation packages and a dynamic, mission oriented work environment. Primary Responsibilities
• Work within small technical teams to develop, prototype, evaluate, and optimize software for scientific applicaitons.
• Implement and maintain physics-based simulation codes.
• Collaborate with our customers to analyze new system requirements and recommend effective technical solutions. Qualifications
• Bachelor degree in Electrical Engineering, Physics, Mathematics, Computer Science, or equivalent.
• At least one year of experience in scientific programming and/or signal processing algorithms.
• Fluency in MATLAB®, Python or C++ environments.