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Rivian and Volkswagen Group Technologies

Staff Vehicle Architecture Engineer

Rivian and Volkswagen Group Technologies

. Build and own parametric models for vehicle architecture decisions, including controller placement, functional allocation, sensor and actuator distribution and harness topology .

Posted 10/20/2026full-timeIrvine • California • United StatesLead💰 $171,100 - $235,300 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in vehicle architecture modeling, including parametric modeling, cost analysis, and integration of AI technologies. Proficient in Python for automation and data processing, with a strong background in vehicle systems engineering and safety analysis.

Highest-signal resume keywords
Parametric ModelingPython ProgrammingLLM Application DevelopmentCost AnalysisVehicle Systems Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Parametric ModelingCost AnalysisData ProcessingAutomationLLM ApplicationsSemantic SearchSystem DecompositionPower-Budget AnalysisWCCA AnalysisMonte Carlo Analysis
Soft Skills
Analytical ThinkingProblem SolvingCommunication
Tools & Technologies
GitLab CI/CDOpenModelicaJuliaSpiceModelicaFMI/FMU Co-SimulationAirtableAPIs
Industry Keywords
Vehicle ArchitectureAerospace EngineeringElectromechanical SystemsSTPADFMEAFault Tree AnalysisManufacturingDFM Exposure

Tech Stack

Tools & technologies
Python

About the role

Key responsibilities & impact
  • Build and own parametric models for vehicle architecture decisions, including controller placement, functional allocation, sensor and actuator distribution and harness topology
  • Run architecture trade studies covering cost, mass, harness complexity, power, temperature, environmental factors, reliability and manufacturability
  • Deliver trade studies with models, parameters and sensitivity analysis
  • Build cost and BOM models for architecture options
  • Use models to identify cost-down opportunities by eliminating unnecessary controllers, harness runs and sensors
  • Analyze new technology integration using a software/hardware platform design approach
  • Build LLM and agentic pipelines over architecture artifacts
  • Extract device and interface data from specifications and generate and check candidate architecture configurations
  • Deploy semantic search over requirements, architecture models, device data and prior trade studies
  • Integrate AI assistance into Flow Engineering, Airtable and GitLab through APIs and CI pipelines with human-in-the-loop guardrails
  • Connect architecture decisions to downstream field issues, manufacturing escapes and cost variance
  • Contribute to vehicle-level STPA, DFMEA and fault analyses
  • Participate in architecture, interface and safety design reviews
  • Correlate models against real vehicle, lab rig and supplier data
  • Document methods as playbooks for other engineers

Requirements

What you’ll need
  • BS/MS in Electrical, Computer, Mechanical, Systems or Aerospace Engineering, or equivalent demonstrated experience
  • 5+ years in vehicle, aerospace or electromechanical systems engineering, or an equivalent record of building analyses that decided real designs
  • Strong Python for data processing, parametric modelling, automation and prototyping AI workflows
  • Practical experience building LLM applications, including RAG pipelines, semantic search, structured extraction or agent frameworks
  • Ability to decompose a vehicle into subsystems, functions and interfaces and reason about system impacts
  • Ability to work with and defend cost, mass and power-budget analyses
  • Preferred: E/E architecture background, including zonal and secondary ECUs, LV power distribution, networks, harness design, CAN/Ethernet and DBC/ARXML
  • Preferred: OpenModelica, Julia, Spice, Modelica or FMI/FMU co-simulation
  • Preferred: WCCA, Monte Carlo and DOE analysis
  • Preferred: Hands-on physical-systems projects such as vehicle dynamics, powertrain, robotics, Formula SAE, Baja SAE or solar car
  • Preferred: Manufacturing or DFM exposure
  • Preferred: GitLab CI/CD and an AI portfolio applying LLMs or ML to engineering artifacts
  • Preferred: STPA, DFMEA or fault tree analysis knowledge

Benefits

Comp & perks
  • Annual company performance bonus program eligibility
  • Equity in the form of Restricted Stock Units (RSUs)
  • Health coverage
  • Retirement savings
  • Time off
  • Family planning programs