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Modelica Jobs (NOW HIRING)

KBR

Senior Model-BasedSystems Engineer (MBSE)

Carlsbad, CA

$108K - $148K/yr

Familiarity with analytical/simulation tools (e.g., MATLAB, STK,Modelica, SciPy/SciKitLearn) to inform modeldriven trade space exploration. * Experience developing executable system models (e.g ...

GMPPU

ERS Systems Integration Lead

Concord, NC · On-site

$120 - $150/hr

Hands‑on experience with hybrid or EV system modeling and simulation (e.g., MATLAB/Simulink, Modelica/Dymola, GTSuite or equivalent). * Familiarity with systems engineering methods and tools (SysML ...

New

Thea Energy

Senior Plasma Control Engineer

Kearny, NJ

$120K - $160K/yr

MATLAB Simulink, Modelica, FMI, and custom physics solvers Company Benefits: * Salary range $120,000-$160,000 * Comprehensive health benefits (e.g. medical/dental/vision) * Employee equity stock ...

Toyota

Simulation Engineer

Salisbury, NC · On-site

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 ...

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How much do modelica jobs pay per year?

As of Aug 21, 2026, the average yearly pay for modelica in the United States is $103,148.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,000.00 and $120,000.00 per year, depending on experience, location, and employer.

What is a Modelica?

A Modelica job typically involves developing, simulating, and analyzing system models using the Modelica language. Modelica is an object-oriented, equation-based language used for modeling complex physical systems, including mechanical, electrical, thermal, and fluid dynamics. Professionals in this field work in industries such as automotive, aerospace, and energy to create and optimize system designs. They often use tools like OpenModelica, Dymola, or Wolfram SystemModeler to perform simulations and improve system performance.

What kinds of projects might I work on as a Modelica specialist?

As a Modelica specialist, you'll often be involved in creating and simulating dynamic models for systems such as automotive powertrains, HVAC systems, energy systems, robotics, or industrial processes. Your daily responsibilities may include collaborating with engineers and researchers to define model requirements, developing and testing complex simulation models, and analyzing simulation results to support product development or optimization. The work is typically project-based and may involve close teamwork with mechanical, electrical, or software engineers. This diverse project exposure not only keeps the work interesting but also provides broad experience applicable to many engineering sectors. Over time, successful Modelica specialists can advance into lead modeling roles or systems architecture positions.

What are the key skills and qualifications needed to thrive in the Modelica position, and why are they important?

To thrive as a Modelica specialist (Modelica Engineer or Simulation Engineer), you need a solid background in engineering, physics, or applied mathematics, along with expertise in modeling and simulation using the Modelica language. Familiarity with simulation tools like Dymola, OpenModelica, or Wolfram SystemModeler, and possibly certifications in systems modeling, are typically important. Strong problem-solving, analytical thinking, and effective communication skills help distinguish top candidates in this field. These qualifications are crucial for developing accurate dynamic models and working efficiently in multidisciplinary engineering teams.

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Modelica jobs near you
Infographic showing various Modelica job openings in the United States as of August 2026, with employment types broken down into 100% Full Time. Highlights an 71% Physical, 16% Hybrid, and 13% Remote job distribution, with an average salary of $103,148 per year, or $49.6 per hour.

Mechanical Engineer, Demand Management

Fluidstack

Austin, TX • On-site

$208K - $263K/yr

Full-time

Re-posted 4 days ago

Job description

About Fluidstack
We exist to make humanity more free. For most of human history, you farmed or you starved. Technology gave people more time for the things they wanted to do, instead of things they had to do. Powerful AI will be the biggest lever for human choice we've ever built - but only if models are aligned with what humanity actually wants. There are groups building AI who don't share these goals. Whoever deploys frontier compute infrastructure fastest will decide whether AI expands human freedom or shrinks it.
We're singularly focused on delivering 10 to 100s of GWs of compute faster than anyone else, rethinking every layer of the stack. We acquire power, design and build data centers, and operate them - with teams spanning hardware and software. Speed and scale are our key differentiators. Come be a part of building civilization-scale infrastructure for AI.
We hire people who care deeply about this problem space. If that is you, please apply!
How We Operate
  • Extreme ownership. Full autonomy. Own things end to end often taking on scope outside your core role without being asked to get things done.
  • Velocity. We drive everything forward as fast as possible.
  • First principles. Challenge every assumption. Zero analogy thinking, no egos, the best idea wins.
  • Love of the game. The frontier of AI is the most interesting problem of our time. We put in long hours at high intensity to push the frontier forward.
Role Scope
  • Engineer the mechanical side of demand flexibility: cooling systems that ride through load flex without thermal risk.
  • Model thermal inertia and headroom: how far and how long the plant can flex, quantified per site.
  • Design the mechanical strategies, setpoint moves, staging, and storage, that turn cooling into a grid asset.
  • Validate in the field: instrumented tests proving the models before the fleet runs on them.
What We're Looking For
  • The below is a starting point. We always make space for exceptional people, so if you don't fit this role exactly, tell us where you would.
  • You've engineered mechanical or HVAC systems for data centers or industrial plants.
  • You've modeled thermal systems dynamically, not just at steady state.
  • You've run field validation campaigns and reconciled model to measurement.
  • You quantify risk in operating terms: degrees, minutes, and margins.
  • You work jointly with controls engineers as one system team.
  • Bonus: Liquid cooling. Dynamic simulation (Modelica, TRNSYS) or CFD. Thermal storage. Psychrometrics depth.

We are committed to pay equity and transparency.
Fluidstack is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Fluidstack will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
You will receive a confirmation email once your application has successfully been accepted. If there is an error with your submission and you did not receive a confirmation email, please email careers@fluidstack.io with your resume/CV, the role you've applied for, and the date you submitted your application-- someone from our recruiting team will be in touch.

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