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Senior Model Integration, Correlation Engineer
Rivian and Volkswagen Group Technologies. Integrate models contributed by domain teams and suppliers into the simulation platform .
Posted 11/11/2026full-timeIrvine • California • United StatesSenior💰 $135,000 - $179,040 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in vehicle modeling, controls, and systems engineering, with a strong focus on model-to-vehicle correlation and validation processes. Proficient in integrating and validating physics models within simulation platforms while collaborating effectively with cross-functional engineering teams.
Highest-signal resume keywords
Vehicle ModelingModel-to-Vehicle CorrelationPython for Data AnalysisModelica or Simulink FluencyISO 26262 Exposure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Vehicle Measurement Data FluencyModel-to-Vehicle Correlation ExperienceEnergy-Consumption ValidationPlant-Modeling FluencyModel Exchange Experience
Soft Skills
Technical Liaison ExperienceCollaboration with Domain Experts
Tools & Technologies
ModelicaSimulinkPythonFMI
Industry Keywords
Automotive Systems EngineeringDFMEASTPAISO 26262
Tech Stack
Tools & technologiesPython
About the role
Key responsibilities & impact- Integrate models contributed by domain teams and suppliers into the simulation platform
- Design and run validation proving integrated models match reference behavior, and maintain validation as models change
- Lead correlation campaigns against dynamometer, track, and fleet data
- Publish correlation results with stated validity limits
- Root-cause simulation-versus-measurement discrepancies and drive resolution with owning teams
- Author simulation scenarios and acceptance criteria
- Help domain experts define simulation scenarios and acceptance criteria
- Own the quality of combining physics models with production controller software in the Virtual Vehicle platform
- Work daily with domain experts across the organization and determine, using data, how much simulation results can be trusted
Requirements
What you’ll need- Fluency with vehicle measurement data: bus signals, logged telemetry, units and encodings
- BS/MS in Mechanical, Electrical, or Systems Engineering, or a related field — or equivalent demonstrated experience
- 5+ years in vehicle modeling, controls, or systems engineering — or an equivalent demonstrated record
- Demonstrated model-to-vehicle correlation experience with quantified results
- Plant-modeling fluency in at least one toolchain: Modelica, Simulink, or Python
- Experience with model exchange: FMI or similar
- Strong Python for data analysis
- Comfort in a code-first engineering environment
- Energy-consumption or vehicle-dynamics validation against dynamometer or track data
- Automotive systems-engineering artifacts: requirements, DFMEA, STPA
- ISO 26262 exposure
- Experience as a technical liaison across multiple engineering teams
Benefits
Comp & perks- Annual company performance bonus program
- Equity in the form of Restricted Stock Units (RSUs)
- Health coverage
- Retirement savings
- Time off
- Family planning programs