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Full Time Modelica Jobs (NOW HIRING)

... tools (e.g., Modelica, Simscape, or Amesim) * Experience with software-in-the-loop (SIL) or ... In addition to base salary, for full-time hires, you may also be eligible for long-term incentives ...

Senior Simulation Engineer

Redondo Beach, CA ยท On-site

$150K - $200K/yr

Autonomous Systems Employment Type: Full Time Location: Redondo Beach Compensation: $150,000 - $200 ... Familiarity with multi-disciplinary simulation tools (e.g., Modelica, Simscape, or Amesim)

Familiarity with multi-disciplinary simulation tools (e.g., Modelica, Simscape, or Amesim ... In addition to base salary, for full-time hires, you may also be eligible for long-term incentives ...

Senior Simulation Engineer

Louisville, CO ยท On-site

$150K - $200K/yr

Autonomous Systems Employment Type: Full Time Location: Boulder County Compensation: $150,000 ... Familiarity with multi-disciplinary simulation tools (e.g., Modelica, Simscape, or Amesim)

Familiarity with analytical/simulation tools (e.g., MATLAB, STK,Modelica, SciPy/SciKitLearn) to ... Ability to work fulltime in a classified Carlsbad, CA facility. Additional Clearance Note : Active ...

Intern, Model Based Systems Engineering

Novi, MI ยท Hybrid

$15.75 - $20.50/hr

... full-time, degree seeking program ) * Proventrack recordwith managing projects and challenges ... Experience using Modelica, MATLAB, or similar tools for systems analysis * Practical experience ...

Intern, Model Based Systems Engineering

Novi, MI ยท Hybrid

$15.75 - $20.50/hr

... full-time, degree seeking program ) * Proventrack recordwith managing projects and challenges ... Experience using Modelica, MATLAB, or similar tools for systems analysis * Practical experience ...

Full Time Modelica information

See salary details

$23K

$108.5K

$158.5K

How much do full time modelica jobs pay per year?

As of Jun 20, 2026, the average yearly pay for full time modelica in the United States is $108,476.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,500.00 and $125,000.00 per year, depending on experience, location, and employer.

What is a Full Time Modelica engineer?

A Full Time Modelica engineer is a professional who works with the Modelica language to model, simulate, and analyze complex physical systems, such as those found in mechanical, electrical, or thermal engineering. These engineers typically work full-time at organizations that require advanced system modeling, such as automotive, aerospace, or energy companies. Their responsibilities include developing models, running simulations, and collaborating with multidisciplinary teams to improve system performance and design. Proficiency in Modelica, as well as familiarity with simulation tools like OpenModelica or Dymola, is essential for this role.

What are the key skills and qualifications needed to thrive as a Full Time Modelica Engineer, and why are they important?

To excel as a Full Time Modelica Engineer, you need a solid background in engineering, physics, or applied mathematics, along with proficiency in system modeling and simulation. Expertise with Modelica language, Modelica-based tools (such as OpenModelica or Dymola), and knowledge of simulation frameworks are typically required. Strong analytical thinking, problem-solving abilities, and effective communication skills help you collaborate with multidisciplinary teams and explain complex models. These capabilities ensure accurate system simulations, efficient project execution, and successful integration of models into engineering workflows.

What is the difference between Full Time Modelica vs Full Time Mechanical Engineer?

AspectFull Time ModelicaFull Time Mechanical Engineer
Required CredentialsEngineering degree, knowledge of Modelica languageEngineering degree, mechanical design skills
Work EnvironmentSimulation and modeling software, R&D labsDesign offices, manufacturing plants, R&D labs
Industry UsageSystem simulation, automotive, aerospace, energyProduct design, manufacturing, HVAC, automotive
Common Search/ComparisonYesYes

Full Time Modelica specialists focus on system simulation and modeling using Modelica language, often within R&D or simulation environments. Mechanical Engineers work on product design and manufacturing processes. While both roles require engineering backgrounds, Full Time Modelica roles emphasize software modeling skills, whereas Mechanical Engineers focus on physical design and mechanics.

What are some common challenges faced by Full Time Modelica Engineers when collaborating with multidisciplinary teams?

Full Time Modelica Engineers often work with teams that include mechanical, electrical, and control systems specialists. A common challenge is ensuring clear communication of model assumptions and limitations, as team members may have varying levels of experience with Modelica. Additionally, integrating Modelica models into broader simulation environments or workflows can require collaboration to align data formats and simulation objectives. Successful engineers proactively share documentation and participate in cross-functional meetings to address these challenges and promote effective teamwork.
More about Full Time Modelica jobs
What are the most commonly searched types of Modelica jobs? The most popular types of Modelica jobs are:
Infographic showing various Full Time Modelica job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 76% Full Time, 21% Part Time, and 2% Contract. Highlights an 80% Physical, 11% Hybrid, and 9% Remote job distribution, with an average salary of $108,476 per year, or $52.2 per hour.
Energy/Environmental Technology Researcher

Energy/Environmental Technology Researcher

Lawrence Berkeley National Laboratory

Berkeley, CA โ€ข On-site

Full-time

Medical, Retirement, PTO

Posted 9 days ago


Job description

The Energy/Environmental Technology Researcher 2/3 (EETR2/EETR3) will develop and deploy next-generation modeling, simulation, and optimization tools for energy and control systems using Modelica and FMI. Responsibilities include contributing to the Modelica Buildings Library, the OpenBuildingControl project, and applications for district energy, data centers, and heat pump/chiller plants using Platform- and Model-Based Design.
Working on an interdisciplinary team, you will extend and apply Modelica/FMI-based computing technologies for HVAC and control simulation, supporting research in rule-based, predictive, and AI-driven control systems.
You will also co-author peer-reviewed publications, help secure funding, and present results at conferences and project meetings.
We're here to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes!
Why join Berkeley Lab?
We invest in our employees by offering a total rewards package you can count on:
  • Exceptional health and retirement benefits, including pension or 401K-style plans.
  • A culture where you'll belong - we are invested in our teams!
  • In addition to accruing vacation and sick time, we also have a Winter Holiday Shutdown every year.
  • Parental bonding leave (for both mothers and fathers).
  • Pet insurance.

EETR2 will:
  • Develop and deploy the Modelica Buildings Library and related Modelica/FMI-based tools.
  • Research and apply these technologies to buildings, district energy systems, and data centers.
  • Advance Platform-Based Design and AI applications for energy systems.
  • Develop object-oriented, equation-based simulation models and control algorithms.
  • Integrate domain-specific tools for rapid prototyping and whole-system lifecycle analysis.
  • Publish in high-impact journals, present at conferences, and collaborate with industry.
  • Support applied projects, proposal development, and solve complex technical problems.

In addition to Above, EETR3 will:
  • Lead development and deployment of the Modelica Buildings Library and related Modelica/FMI tools.
  • Conduct advanced research applying these technologies to buildings, district energy, and data centers.
  • Drive Platform-Based Design for energy systems.
  • Publish in high-impact journals, present at conferences, and collaborate with industry.
  • Lead smaller projects or serve as a senior contributor on large efforts.
  • Contribute to or lead proposal development and solve complex problems creatively.

Additional Responsibilities as needed:
  • May lead small proposals or contribute to larger ones.
  • May supervise staff.
  • Engage external partners on programmatic matters.
  • Eligible for full PI status upon approval and required training completion.

Requirements for EETR2:
  • Typically requires a minimum of 5 years of related experience with a bachelor's degree; or 3 years and a master's degree; or a PhD degree without experience; or equivalent work experience.
  • Demonstrated expertise in system modeling, simulation, building sciences and controls through journal and conference publications.
  • Demonstrated expertise in HVAC systems for buildings or districts, and in controls.
  • Strong working knowledge of heat transfer, fluid dynamics, and thermodynamics.
  • Experience in software development.
  • Experience developing mathematical models for building energy simulation and optimization. Demonstrated strong skills in developing models in languages and simulators for systems of differential algebraic equations in the domain of energy and control systems.
  • Excellent knowledge of building science, controls, and of numerical methods for optimization and simulation.
  • Excellent knowledge of programming languages, preferably Modelica, C/C++ and Python.
  • Excellent verbal and written communication and presentation skills.
  • Demonstrated expertise in working on multiple tasks and projects.
  • Demonstrated experience working effectively in teams, including internal and external collaborations.

In addition to Above, EETR3:
  • Typically requires a minimum of 8 years of related experience with a bachelor's degree; or 6 years and a master's degree; or a PhD degree with 3 years of experience; or equivalent work experience.

Desired skills/knowledge:
  • Advanced degree in mechanical engineering, controls, computer science, architectural engineering or a related building science field.
  • Demonstrated expertise with development of large software packages.
  • Demonstrated experience working with real systems.
  • Demonstrated experience managing project timelines, budget, and/or personnel.

Additional information:
  • Application date: Priority consideration will be given to candidates who apply by June 8, 2026 Applications will be accepted until the job posting is removed.
  • Appointment type:This is a full-time, 1 year, term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds and ongoing operational needs.
  • Salary range:
    • EETR2: The full salary range for this position is $100,668 - 169,986 The budgeted salary range that the Lab reasonably expects to pay for this position is $119,563.2 - 132,148.80. Salary offers will be commensurate with the final candidate's qualification and experience, including skills, knowledge, relevant education, and certifications, and also aligned with the internal peer group.
    • EETR3: The full salary range for this position is $124,728 - $210,480. The budgeted salary range that the Lab reasonably expects to pay for this position is $148,120.20-$163,711.80. Salary offers will be commensurate with the final candidate's qualification and experience, including skills, knowledge, relevant education, and certifications, and also aligned with the internal peer group.
  • Background check: This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.
  • Work modality: This position is eligible for a flexible work mode, with onsite or hybrid work being the preferred modes. Hybrid work is a combination of teleworking and performing work on-site at Lawrence Berkeley National Lab, 1 Cyclotron Road, Berkeley, CA. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs.
  • Multi-level Posting: This position will be hired at a level commensurate with the business needs and the skills, knowledge, and abilities of the successful candidate.

Want to learn more about working at Berkeley Lab? Please visit: careers.lbl.gov
Equal Employment Opportunity Employer: The foundation of Berkeley Lab is our Stewardship Values: Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.
Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.