Architecture Modeling and Trade Studies

Build and own the parametric models behind vehicle architecture decisions: controller count and placement, functional allocation across zonal and secondary ECUs, sensor and actuator distribution, harness topology.

Run architecture trade studies with quantified outcomes — cost, mass, harness complexity, power, temperature and environmental, reliability, manufacturability — and ship each study with its model, parameters and sensitivity analysis.

Build the cost and BOM models that turn architecture options into numbers

Support cost-down by subtraction: use the models to show which controllers, harness runs and sensors the vehicle can do without, before anyone optimizes what is left.

Analyze new technology integration with SW HW platform design approach

Applied AI for Architecture Work

Build LLM and agentic pipelines over architecture artifacts: extracting device and interface data from specifications, generating and checking candidate architecture configurations, and surfacing gaps across requirements, device lists and interface definitions.

Deploy semantic search over requirements, architecture models, device data and prior trade studies

Integrate AI assistance into the team's toolchain — Flow Engineering, Airtable, GitLab — via APIs and CI pipelines, with human-in-the-loop guardrails.

Build analytics that connect architecture decisions to what happened downstream: field issues, manufacturing escapes, cost variance — so the next trade study starts better informed,

Systems Engineering, Hands-On

Staff Vehicle Architecture Engineer

Responsibilities

Qualification

Required

Preferred

Benefits

Company

rivianvw.tech

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