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Modeling And Simulation Engineer Jobs in Wisconsin

DataAnnotation

$40/hr

AI models are increasingly capable of performing complex analytical and scientific reasoning -- but ... Engineering, or similar); a master's or PhD is a plus. Relevant credentials are a plus (e.g ...

Type One Energy

Computational Physicist

Madison, WI · On-site

You will work closely with Engineers and Scientists and will also be responsible for: * Developing and execute integrated modeling frameworks to simulate and predict plasma operational scenarios

ATI

Machining Engineer (Entry Level)

Cudahy, WI

As a machining engineer, you will create design concepts, verify concepts through process simulations, build models, make drawings, specifications, and instructions. Our engineers play a vital role ...

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Modeling And Simulation Engineer information

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$39.4K

$124.6K

$192.3K

How much do modeling and simulation engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for modeling and simulation engineer in Wisconsin is $124,554.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,900.00 and $147,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Modeling and Simulation Engineer, and why are they important?

To thrive as a Modeling and Simulation Engineer, you need a strong background in mathematics, physics, computer science, and engineering principles, typically supported by a relevant degree. Proficiency with simulation software (such as MATLAB, Simulink, or ANSYS), programming languages (like Python or C++), and sometimes certifications in modeling tools are highly valued. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex systems into accurate models and collaborating with multidisciplinary teams. These skills are crucial for ensuring the accuracy, reliability, and usability of simulations that inform critical engineering decisions.

What are some common challenges a Modeling and Simulation Engineer faces when integrating new models into existing systems?

A common challenge for Modeling and Simulation Engineers is ensuring that new models are compatible with existing simulation frameworks and data sources. This often involves resolving discrepancies in data formats, model fidelity, and simulation timing, as well as validating that the integrated system produces accurate and reliable results. Collaboration with software developers, data analysts, and subject matter experts is essential to troubleshoot integration issues and maintain system performance. Effective communication and thorough documentation are key to overcoming these integration hurdles.

What are Modeling and Simulation Engineers?

Modeling and Simulation Engineers are professionals who use mathematical models and computer simulations to analyze complex systems and predict their behavior. They work in various industries, including aerospace, defense, healthcare, and manufacturing, to improve product design, optimize processes, and support decision-making. Their work often involves creating virtual prototypes, running simulations to test different scenarios, and interpreting results to provide insights for engineering projects. These engineers typically have strong backgrounds in mathematics, physics, and computer science.

What is the difference between Modeling And Simulation Engineer vs Systems Engineer?

AspectModeling And Simulation EngineerSystems Engineer
CredentialsBachelor's or Master's in Engineering, Computer Science, or related fields; certifications like INCOSEBachelor's or Master's in Engineering, Systems Engineering, or related fields; certifications like INCOSE
Work EnvironmentDesigning and developing simulation models, testing scenarios in labs or software environmentsIntegrating system components, coordinating across engineering teams, often in project offices
Industry UsageDefense, aerospace, automotive, and manufacturing sectorsDefense, aerospace, IT, and complex system development industries

While both roles require engineering backgrounds and similar certifications, Modeling And Simulation Engineers focus on creating and testing simulation models, whereas Systems Engineers oversee the integration and functionality of entire systems. Both collaborate closely but serve different specialized functions within engineering projects.

What are popular job titles related to Modeling And Simulation Engineer jobs in Wisconsin? For Modeling And Simulation Engineer jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Modeling And Simulation Engineer jobs in Wisconsin look for? The top searched job categories for Modeling And Simulation Engineer jobs in Wisconsin are:
What cities in Wisconsin are hiring for Modeling And Simulation Engineer jobs? Cities in Wisconsin with the most Modeling And Simulation Engineer job openings:
Modeling And Simulation Engineer jobs near you
Infographic showing various Modeling And Simulation Engineer job openings in Wisconsin as of May 2026, with employment types broken down into 4% As Needed, 5% Full Time, and 91% Part Time. Highlights an 99% Physical, and 1% Hybrid job distribution, with an average salary of $124,554 per year, or $59.9 per hour.

Senior Design Engineer, Head Protection

Milwaukee Tool

Milwaukee, WI • On-site

Full-time

Posted 9 days ago

Job description

Sr Design Engineer
Job Description:
Senior Design Engineer, Advanced Engineering
Front End Head Protection Development
Summary
Bring first-principles rigor and evidence-backed decisions to deliver production-ready innovations that raise the bar for performance, reliability, and manufacturability. In this role, you will be developing innovative technologies and designs to push the boundaries of safety, comfort, and performance for head protection products. You will lead design maturation by setting performance targets, generating and analyzing data (tests + models), and reducing technical risk to ensure confident launches. You own validation and analysis, turn data into clear decisions, and collaborate across manufacturing, quality, suppliers, and product teams from early exploration through transfer to production.
Key Responsibilities
  • Develop innovative solutions that industry leading safety performance in a head protection product.
  • Define performance objectives and validation strategies; develop and execute test plans for functional, durability, and environmental requirements.
  • Instrument prototypes/fixtures for high-fidelity data capture; analyze results with DOE, regression, and reliability models to quantify trade-offs.
  • Collaborate with simulation engineers to develop FEA/CFD/thermal models to lab/field data; update models based on findings; drive root-cause analysis and reliability growth.
  • Utilize high speed video, python tools, and other advanced data analysis techniques to synthesize test results into actionable findings
  • Partner with manufacturing and suppliers on process capability, materials, and tooling; feed cost/quality/takt insights into design iterations and risk mitigation.
  • Plan and execute prototyping-from proof-of-feasibility through production-representative builds-and capture lessons learned to inform downstream development.
  • Document technical decisions, assumptions, and test outcomes in clear reports; present findings and recommendations to cross-functional stakeholders.
  • Cultivate curiosity toward AI: proactively explore and run small proofs-of-concept where machine learning, generative design, and intelligent automation can improve analysis, prototyping, and test design
  • Mentor engineers in test design, analysis, and modeling; foster first-principles thinking and measurable outcomes.

Typical Advanced Engineering Workflow
Discovery: Clarify user and business needs; benchmark performance; define success metrics and initial risk hypotheses.
Definition: Translate needs into engineering targets; select validation methods; outline modeling/analysis and prototype plans.
Exploration & Prototyping: Execute tests and simulations; iterate designs; quantify trade-offs; down-select solution paths.
Validation: Confirm performance, reliability, and manufacturability against targets; refine design and process risks.
Transfer to Production: Provide documentation, test methods, critical features/tolerances, and known risks; support ramp as subject-matter expert.
Qualifications
  • Bachelor's degree in Mechanical, Product, or Material Engineering (or related); advanced degree a plus.
  • 2+ years experience with energy absorption technologies and/or head protection products
  • 5+ years of product development experience in automotive, industrial, consumer/durable goods, or adjacent industries.
  • Demonstrated expertise in test planning/execution, data analysis, and modeling/simulation (FEA/CFD/thermal).
  • Proficiency in CAD; experience with DFMA, prototyping methods, and supplier collaboration.
  • Hands-on with instrumentation/DAQ and statistical tools (e.g., JMP/Minitab); familiarity with reliability methods (e.g., accelerated life testing, Weibull).
  • Excellent communication skills-able to synthesize complex data into clear design recommendations; strong cross-functional collaboration.
  • Practical experience applying ML/AI to guide mechanical design and integrate proven tools into standard engineering workflows
  • Self-starter comfortable learning beyond core discipline; able to manage ambiguous design tasks.
  • Willingness to travel ~10% (domestic/international).

Milwaukee Tool is an equal opportunity employer.

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