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Physics Ai Simulation Jobs in Minnesota (NOW HIRING)

Electronics Tutor

Saint Paul, MN ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of semiconductor physics, diodes, transistors including BJT and MOSFET, amplifier ...

Physical Science Tutor

Saint Paul, MN ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Familiar with physical science curricula covering introductory physics and chemistry topics, and ...

Physical Science Tutor

Minneapolis, MN ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Familiar with physical science curricula covering introductory physics and chemistry topics, and ...

Electronics Tutor

Minneapolis, MN ยท Remote

$18 - $40/hr

Our AI-powered Tutor Copilot enhances your sessions with real-time instructional support, lesson ... Deep knowledge of semiconductor physics, diodes, transistors including BJT and MOSFET, amplifier ...

Showing results 21-40

Physics Ai Simulation information

What is a Physics AI Simulation?

A Physics AI Simulation job involves creating, developing, and maintaining computer simulations that model physical systems using artificial intelligence techniques. Professionals in this field use their expertise in physics, mathematics, and programming to design simulations for research, engineering, gaming, or educational purposes. They often work with machine learning algorithms to improve the accuracy and efficiency of these simulations, enabling better predictions and deeper insights into complex phenomena. This role typically requires strong analytical skills and experience with simulation software and programming languages.

What are the key skills and qualifications needed to thrive as a Physics AI Simulation specialist?

To thrive as a Physics AI Simulation Specialist, you need a solid background in physics, mathematics, and computer science, often supported by a relevant degree or advanced studies. Familiarity with simulation software such as MATLAB, Simulink, or Unity, and programming languages like Python or C++, is typically required, along with experience in machine learning frameworks. Strong problem-solving, analytical thinking, and effective collaboration skills help distinguish top performers in this field. These competencies ensure accurate modeling, innovative solutions, and effective teamwork in developing realistic and efficient AI-driven simulations.

How do professionals in Physics AI Simulation typically collaborate with other teams to develop accurate models?

In Physics AI Simulation roles, collaboration is integral to creating reliable simulation models. Professionals often work closely with domain experts, such as physicists and engineers, to validate the scientific accuracy of their AI-driven simulations. They also partner with software developers to integrate simulation tools into broader platforms and may engage with data scientists to refine algorithms using experimental or real-world data. Regular interdisciplinary meetings and code reviews are common practices to ensure alignment and quality throughout the project lifecycle.

What is the difference between Physics Ai Simulation vs Data Scientist?

AspectPhysics Ai SimulationData Scientist
Required CredentialsPhysics or Computer Science degree, knowledge of AI and simulation toolsStatistics, Mathematics, Computer Science degree, programming skills
Work EnvironmentResearch labs, tech companies, simulation software developmentBusiness, tech firms, data analysis teams
Industry UsagePhysics research, AI-driven simulations, scientific modelingData analysis, predictive modeling, business insights

Physics Ai Simulation focuses on creating AI-driven models to simulate physical phenomena, often requiring physics and AI expertise. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles involve data and AI, Physics Ai Simulation emphasizes physical modeling and simulation, whereas Data Scientists focus on data analysis and interpretation.

What are popular job titles related to Physics Ai Simulation jobs in Minnesota?

For Physics Ai Simulation jobs in Minnesota, the most frequently searched job titles are:

What cities in Minnesota are hiring for Physics Ai Simulation jobs?

Cities in Minnesota with the most Physics Ai Simulation job openings:

Infographic showing various Physics Ai Simulation job openings in Minnesota as of August 2026, with employment types broken down into 73% Full Time, 23% Part Time, and 4% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution.

Senior Development Engineer III - 1D Systems Modeling and Simulation

Daikinapplied

Minneapolis, MN โ€ข On-site

$109K - $149K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


Key responsibilities

  • Develop, calibrate, and validate steady-state and dynamic models of HVAC systems including compressors, heat exchangers, expansion devices, and control logic

  • Design and implement libraries and frameworks for steady-state and dynamic system simulation, focusing on reusability, modularity, and integration

  • Build tools to automate model generation, parameterization, calibration, and results processing for thermodynamic system simulations


Job description

Join the world's largest HVAC company, named by Forbes as one of America's Best-In-State Employers 2025!

Senior Development Engineer III - 1D Systems Modeling and Simulation - Plymouth, MN - Hybrid

Daikin Applied is seeking a Senior Development Engineer III to develop, calibrate, and deploy both steady-state and dynamic 1D system models for commercial HVAC products, including chillers, air handlers, and applied terminal systems. As part of the central Model-Based Engineering (MBE) team, this role spans library development, tool development, and application for product design across both steady-state and dynamic simulation, supporting control strategy development, performance optimization, and model-in-the-loop (MiL) testing.

The position combines steady-state and dynamic library and ecosystem development with the application and support of modeling and simulation for product development. The ideal candidate brings strong programming skills, a solid understanding of HVAC thermodynamic systems, and a forward-thinking approach to simulation automation and AI/ML integration. Operating with growing technical independence, the role contributes to simulation best practices, supports cross-functional teams, and helps mentor junior engineers.

Come be a part of an exciting journey at Daikin Applied, where innovation and excellence drive our every endeavor!

Location:Hybrid - Plymouth, MN

Your Responsibilities:

  • Develop, calibrate, and validate both steady-state and physics-based dynamic models of HVAC systems, including compressors, heat exchangers, expansion devices, and control logic
  • Design and implement libraries and development frameworks for steady-state and dynamic system simulation with an emphasis on reusability, modularity, and integration
  • Build tools that automate model generation, parameterization, calibration, and results processing for thermodynamic system simulations
  • Interface Modelica models with Simulink, Python, and testing frameworks via FMI/FMU to support model-in-the-loop (MiL) workflows
  • Collaborate with global MBE teams and modeling practitioners to define simulation requirements and standardize toolsets, workflows, and modeling libraries across business units (Chillers, Air Handlers, Terminal Systems)
  • Support the new product development phase-gate process, helping ensure appropriate design maturity across milestones
  • Champion model standardization, documentation, traceability, and lifecycle governance practices
  • Develop test plans and support component, subsystem, and system testing to validate simulation models
  • Investigate and apply machine learning (ML) and artificial intelligence (AI) tools to accelerate calibration, surrogate modeling, controller tuning, or automation of complex modeling workflows
  • Provide guidance on best practices for simulation tool development, version control, and continuous integration, and help mentor junior engineers

Your Qualifications:

  • Bachelor's degree in Mechanical Engineering or a related technical field
  • 6+ years of relevant experience (or equivalent: M.S. with 4+ years; Ph.D. with relevant modeling or tool development experience)
  • Strong understanding of thermodynamic cycle modeling, HVAC&R systems, heat transfer fundamentals, and both steady-state and dynamic system behavior
  • Proficiency in one or more technical computing languages such as Julia, Python, MATLAB, or R, with demonstrated experience developing tools, libraries, or simulation software
  • Experience with standard system simulation tools such as Dymola (preferred), GT Suite, Simscape, or Amesim, and familiarity with the FMI standard
  • Experience building and executing structured simulation workflows, including model integration with Simulink and FMI/FMU-based tools
  • Familiarity with steady-state modeling platforms such as VapCyc, CoilDesigner, EES, or equivalent tools
  • Experience designing model libraries, parameter databases, and calibration routines, and troubleshooting complex models
  • Effective communication and presentation skills, with the ability to convey technical concepts to both technical and non-technical audiences
  • Strong problem-solving and analytical skills, with the ability to estimate work tasks and support project planning activities
  • Demonstrated ability to work independently and collaboratively in a cross-functional, globally distributed environment

Your Preferred Qualifications:

  • Master's or Ph.D. in Mechanical Engineering or a related technical field
  • Working knowledge of Fortran, C, C++, Java, or C#
  • Experience with MiL and HiL simulation workflows
  • Experience with machine learning, data analytics, or AI-assisted modeling and automation
  • Familiarity with version control systems (e.g., Git) and software development best practices
  • Background in experimental data acquisition and validation of simulation models using test data
  • Exposure to API development, database interaction, or simulation-as-a-service frameworks
  • Familiarity with controls development and embedded system integration
  • Understanding of model reuse, simulation governance, and lifecycle management concepts
  • Experience working with or across international engineering teams.

Your Benefits:

Daikin Applied offers the following benefits for this position, subject to applicable eligibility requirements:

  • Multiple medical insurance plan options + dental and vision insurance
  • 401K retirement plan with employer match
  • Paid time off and company paid holidays
  • Paid sick time in accordance with the federal, state and local law
  • Tuition Reimbursement after 6 months of continuous service

Work visa sponsorship is not available for this position

The typical annual base salary for this position ranges from$90,400 - $151,800 plus a 10% bonus in Minnesota. The range displayed represents the pay range for all positions in the job grade which these positions fall. Individual base pay will depend on a wide range of factors including your skills, qualifications, experience, and location.

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If you're looking for an engaging career with growth opportunities in a supportive environment, you'll love a career at Daikin Applied!