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

Collaborate with engineering, modeling and simulation, controls, and digital teams to integrate AI ... Strong experience with Python for data analysis, model development, and application development.

Senior Data Scientist

Davidson, NC · On-site

$91 - $190/hr

Collaborate with engineering, modeling and simulation, controls, and digital teams to integrate AI ... Strong experience with Python for data analysis, model development, and application development.

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Showing results 21-29

Physics Simulation Python information

See Salisbury, NC salary details

$9.9K

$61.1K

$109.8K

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:

Senior Data Scientist

trane technologies

Davidson, NC • On-site

Full-time

Medical, Retirement, PTO

Re-posted yesterday


Trane Technologies rating

8.1

Company rating: 8.1 out of 10

Based on 301 frontline employees who took The Breakroom Quiz

116th of 544 rated manufacturers


Job description

Be a part of our mission! As a world leader in creating comfortable, sustainable, and efficient climate solutions for buildings, homes and transportation, it's our responsibility to put the planet first. For us at Trane Technologies, and through our businesses including TraneandThermo King, sustainability is not just how we do business-it is our business. Do you dare to look at the world's challenges and see impactful possibilities? Do you want to contribute to making a better future? If the answer is yes, we invite you to consider joining us in boldly challenging what's possible for a sustainable world.

Learn about our benefits designed for you to Thrive at work and at home.

We boldly go.

Where is the work:

Monday to Thursday, work onsite with your colleagues. Fridays, choose your work location, balancing what your work requires.

We are seeking a highly resourceful Senior Data Scientist to join our international AI in Engineering team within Advanced Concepts & Capabilities. This role designs, builds, and deploys AI- and data-driven solutions that improve engineering productivity, accelerate model and simulation workflows, enhance access to engineering knowledge, and support the development of data-enabled engineering tools across Trane Technologies. The role operates within a globally distributed team focused on generative AI, machine learning, deep learning, high performance computing, data access, content engineering, data enhancement, and agent-based workflows.


What you will do

Develop data science, machine learning, and generative AI solutions that support engineering use cases such as data access, content extraction, data enhancement, recall and extraction, and agent-enabled workflows.

Build and refine data pipelines, preprocessing workflows, and model-ready datasets for engineering, test, and simulation data.

Design, test, and deploy predictive, optimization, and AI-enabled applications that improve engineering productivity and decision-making.

Support AI software development lifecycle initiatives by contributing to proof-of-concepts, use case evaluation, implementation planning, and enterprise-facing tool development.

Help convert fragmented engineering knowledge and historical data into searchable, reusable, agent-accessible resources that improve continuity and reduce lost expertise.

Collaborate with engineering, modeling and simulation, controls, and digital teams to integrate AI into tools, workflows, and product-development processes.

Contribute to engineering data and AI initiatives spanning domain-specific chatbots, regulatory and compliance support tools, digital twins, time-series forecasting, solver acceleration, and physics-informed models.

Work with cloud platforms, connectors, registries, and orchestration frameworks to enable secure and scalable AI solutions for engineering teams.

Prepare concise technical readouts, visuals, and recommendations that communicate results and next steps to technical stakeholders and leadership.

Mentor junior team members, contribute to team standards, and help build repeatable methods for AI and data science delivery across the international AI in Engineering organization.


What you will bring

Master's degree or PhD in Data Science, Computer Science, Statistics, Engineering, Applied Mathematics, or a related quantitative field, or equivalent experience.

Strong experience with Python for data analysis, model development, and application development.

Solid foundation in machine learning, statistical modeling, and generative AI concepts.

Experience handling raw, unstructured, and engineering data, including preprocessing, feature development, and preparing data for modeling workflows.

Familiarity with SQL, NoSQL, cloud services, and modern AI/ML tooling.

Experience building or supporting applications, workflows, or services that operationalize analytics or AI solutions.

Ability to work effectively across a distributed, international team and partner with engineering stakeholders across multiple domains and locations.

Strong analytical, communication, and problem-solving skills, with the ability to translate technical concepts into practical business and engineering outcomes.


Key Competencies

Applied data science for engineering and technical domains.

Generative AI and agent-oriented workflow thinking.

Data handling, reuse, enhancement, and access enablement.

Collaboration in cross-functional and globally distributed engineering environments.

Curiosity, initiative, and the ability to convert emerging AI capabilities into practical tools and workflows.

Excellent communication and presentation skills.

Annual Base Salary Range or Hourly Base Pay Range:

$90,900.00 - $189,800.00

Compensation Type:

Salary

Incentive Eligible:

Yes

Sales Commission Eligible:

No

Disclaimer: We strive to provide competitive compensation for this position, tailored to a variety of factors. The actual compensation will depend on elements such as seniority, merit, geographic location, education, experience, travel requirements, and union designation. Our compensation range is generally based on the national average for the country. Additionally, benefits may vary depending on the region, business alignment, union involvement, and employee status.

Thrive at work and at home:


  • Benefits kick in on DAY ONE for you and your family, including health insurance and holistic wellness programs that include generous incentives - WE DARE TO CARE!
  • Family building benefits include fertility coverage and adoption/surrogacy assistance.
  • 401K match up to 6%, plus an additional 2% core contribution = up to 8% company contribution.
  • Paid time off includes 15 vacation days, 9 paid holidays, 3 floating holidays, sick leave, and additional options to support volunteer and parental leave.
  • Educational and training opportunities through company programs along with tuition assistance and student debt support.

Disclaimer: Benefit offerings may vary depending on Collective Bargaining Agreements and local/state regulations.


Safety Sensitive Role:

No

The company designates certain roles as Safety Sensitive. Safety Sensitive roles may require that you pass additional drug screening.

We offer competitive compensation and comprehensive benefits and programs. We are an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, age, marital status, disability, status as a protected veteran, or any legally protected status.

Employment Type: FULL_TIME

What Trane Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


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About Trane Technologies

Sourced by ZipRecruiter

At Trane Technologies and through our businesses including Trane® and Thermo King®, we create innovative climate solutions for buildings, homes, and transportation that challenge what's possible for a sustainable world. We're a team that dares to look at the world's challenges and see impactful possibilities. We believe in a better future when we uplift others and enable our people to thrive at work and at home. We boldly go.

Industry

Industrial machinery manufacturing and machinery manufacturing

Company size

10,000+ Employees

Headquarters location

Davidson, NC, US