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Physics Simulation Python Jobs in Salisbury, NC (NOW HIRING)

Toyota

Simulation Engineer

Salisbury, NC · On-site

Develop, maintain, and enhance physics-based vehicle models using Dymola, MATLAB, and Simulink ... Python. * Strong understanding of vehicle dynamics principles. * Experience with simulation data ...

Toyota

Simulation Engineer

Salisbury, NC

Develop, maintain, and enhance physics-based vehicle models using Dymola, MATLAB, and Simulink ... Python * Strong understanding of vehicle dynamics principles * Experience with simulation data ...

GMPPU

F1 Propulsion 1D Simulation Engineer

Concord, NC · On-site

$90 - $110/hr

... Physics). * 4+ years of experience in propulsion simulation, virtual engineering, or engine ... Python) for post‑processing, automation, and reporting. * Excellent oral and written ...

GMPPU

Power Unit Plant Modeling Engineer

Concord, NC · On-site

$80 - $120/hr

... multi-physics coupling. * Experience with MATLAB/Python for model automation, post-processing, and data analysis. * Familiarity with lap-time simulation tools and vehicle dynamics integration.

Siemens AG

Cloud Solutions Engineer

Charlotte, NC · On-site

$109.80 - $197.70/hr

We are changing the way our customers run and interact with multi-physics high fidelity simulations ... in Python, object‑oriented programming, software design principles, and design patterns ...

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Physics Simulation Python information

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$61.1K

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How much do physics simulation python jobs pay per year?

As of Aug 22, 2026, the average yearly pay for physics simulation python in Salisbury, NC is $61,101.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,800.00 and $71,900.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a physics simulation Python developer?

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 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 cities near Salisbury, NC are hiring for Physics Simulation Python jobs?

Cities near Salisbury, NC with the most Physics Simulation Python job openings:

Physics Simulation Python jobs near you

Simulation Engineer

Toyota Motor Sales, U.S.A., Inc.

Salisbury, NC • On-site

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Toyota rating

7.2

Company rating: 7.2 out of 10

Based on 875 frontline employees who took The Breakroom Quiz

27th of 45 rated automakers

Job description

Overview
Who we are
Collaborative. Respectful. A place to dream and do. These are just a few words that describe what life is like at Toyota. As one of the world's most admired brands, Toyota is growing and leading the future of mobility through innovative, high-quality solutions designed to enhance lives and delight those we serve. We're looking for talented team members who want to Dream. Do. Grow. with us.
To save time applying, Toyota does not offer sponsorship of job applicants for employment-based visas or any other work authorization for this position at this time.
TRD inspires the hearts and minds of racing fans, Toyota team members, customers and the driving public. We are dedicated to advancing automotive engineering and maximizing racetrack success. We partner with the finest race teams and drivers who share our passion and our actions foster an atmosphere of excellence. In our pursuit of becoming the most respected and premier motorsports engineering organization in the world, we are looking for highly motivated applicants for our available positions.
We are seeking a highly motivated Simulation Engineer to join our Model-Based Simulation team. You'll work with a small, experienced group of engineers specializing in vehicle dynamics, tire modeling, aerodynamics, race car performance, and physics-based simulation.
In this role, you will contribute to the development, enhancement, and correlation of our vehicle simulation models, ensuring they accurately reflect real-world behavior. You'll help expand and refine our modeling capabilities by collaborating closely with domain experts and supporting the integration of simulation models into our cloud-based toolchain.
Key Responsibilities
  • Develop, maintain, and enhance physics-based vehicle models using Dymola, MATLAB, and Simulink.
  • Support model correlation activities validating against test rig, track and DIL simulator data.
  • Collaborate with specialists in vehicle dynamics, aerodynamics, and tire modeling to improve simulation accuracy.
  • Integrate models into the cloud-based simulation environment.
  • Document modeling approaches, simulation results, and validation processes.
  • Participate in Agile sprints, contributing to feature development, testing, and deployment pipelines.
  • Use GitLab for version control, CI/CD pipelines, and collaborative development workflows.

Required Qualifications
  • Bachelor's or Master's degree in Mechanical Engineering, Automotive Engineering, or a related field.
  • 2-5 years of experience in vehicle or systems modeling using Dymola, Modelica, MATLAB, C++ and Python.
  • Strong understanding of vehicle dynamics principles.
  • Experience with simulation data analysis, model tuning, and correlation techniques.
  • Ability to work in a multi-disciplinary, fast-paced, and iterative development environment.
  • Familiarity with Git-based version control and collaborative software development.

Preferred Qualifications
  • Experience with race car simulation or performance analysis.
  • Experience working in Linux environment.
  • Experience integrating simulation models with cloud services or web-based UIs.
  • Exposure to CI/CD pipelines or DevOps workflows using GitLab.

Why Join Us
  • Collaborative, innovation-driven culture that values continuous learning and improvement.
  • Opportunity to contribute to real-world vehicle performance optimization through simulation.
  • Hands-on exposure to end-to-end model-based simulation workflows - from model development to deployment.

What we'll bring
During your interview process, our team can fill you in on all the details of our industry-leading benefits and career development opportunities. A few highlights include:
  • A work environment built on teamwork, flexibility, and respect.
  • Professional growth and development programs to help advance your career, as well as tuition reimbursement.
  • Vehicle purchase & lease programs.
  • Comprehensive health care and wellness plans for your entire family.
  • Flexible work options based on business needs.
  • Toyota 401(k) Savings Plan featuring a company match, as well as an annual retirement contribution from Toyota regardless of whether you contribute.
  • Paid holidays and paid time off.
  • Referral services related to prenatal services, adoption, childcare, schools and more.
  • Flexible spending accounts.
  • Relocation assistance (if applicable).

Belonging at Toyota
Our success begins and ends with our people. We embrace all perspectives and value unique human experiences. Respect for all is our North Star. Toyota is proud to have 10+ different Business Partnering Groups across 100 different North American chapter locations that support team members' efforts to dream, do and grow without questioning that they belong.
Applicants for our positions are considered without regard to race, ethnicity, national origin, sex, sexual orientation, gender identity or expression, age, disability, religion, military or veteran status, or any other characteristics protected by law.
Have a question, need assistance with your application or do you require any special accommodations? Please send an email to talent.acquisition@toyota.com.

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