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Physics Simulation Python Jobs in New York, NY (NOW HIRING)

PhysicsX

Simulation Engineer - FEA

New York, NY · On-site

By enabling high-fidelity, multi-physics simulation through AI inference across the entire ... Proficiency in parametric CAD modelling (NX or CATIA) and coding in Python, (or the ability to ...

PhysicsX

Principal CFD Engineer

New York, NY · On-site

By enabling high-fidelity, multi-physics simulation through AI inference across the entire ... Experience in parametric CAD modelling (NX or CATIA) and coding in Python/Java, (or the ability to ...

Thea Energy

Computational Plasma Physicist

Kearny, NJ · On-site

$120K - $140K/yr

... physics and numerical simulations. * Experience with stellarators is a plus. * Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, C++, or MATLAB)

Thea Energy

Computational Plasma Physicist

Kearny, NJ · On-site

$120K - $140K/yr

... physics and numerical simulations. * Experience with stellarators is a plus. * Proficiency in programming languages commonly used in scientific computing (e.g., Python, Fortran, C++, or MATLAB)

Alignerr

Applied Physics Specialist

Manhattan, NY · Remote

... simulations for physical consistency, identifying where models hallucinate results or violate ... such as MATLAB, COMSOL, Python (NumPy/SciPy), or similar Background in research‐level ...

Thea Energy

Divertor Plasma Physicist

Kearny, NJ

$120K - $170K/yr

Python, Fortran, C++, and MATLAB). * Familiarity with simulation tools used in plasma physics research. Preferred Skills: * Experience with edge plasma models such as FLARE, DESC, SOLPS, UEDGE, and ...

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Physics Simulation Python information

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How much do physics simulation python jobs pay per year?

As of May 30, 2026, the average yearly pay for physics simulation python in New York, NY is $73,958.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,100.00 and $87,000.00 per year, depending on experience, location, and employer.

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.

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.

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.

What are popular job titles related to Physics Simulation Python jobs in New York, NY? For Physics Simulation Python jobs in New York, NY, the most frequently searched job titles are:
What job categories do people searching Physics Simulation Python jobs in New York, NY look for? The top searched job categories for Physics Simulation Python jobs in New York, NY are:
What cities near New York, NY are hiring for Physics Simulation Python jobs? Cities near New York, NY with the most Physics Simulation Python job openings:
Physics Simulation Python jobs near you

Physics Expert with Python - Freelance AI Trainer

Mindrift

New York, NY

$76/hr

Part-time

Posted 8 days ago

Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may: 

  • Design original computational physics problems that simulate real physics research workflows;
  • Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
  • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
  • Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
  • Base problems on real research challenges or practical applications from physics practice;
  • Verify solutions using Python with standard physics simulation libraries;
  • Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for physicians with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  

  • Degree in Physics (Theoretical, Experimental, or Computational) or related fields;
  • Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
  • 2+ years of professional experience: applied, research, or teaching experience is applicable;
  • Experience with numerical simulation methods;
  • Ability to design problems that mirror real physics research workflows;
  • Creative thinking in problem design across diverse physics areas;
  • Familiarity with physics modeling and approximation techniques;
  • Strong written English (C1+).

How it works

Apply Pass qualification(s) Join a project Complete tasks Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $76 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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