Rivian and Volkswagen Group Technologies
Staff Vehicle Architecture Engineer
$171K–$235K
Irvine, California · Hybrid · Staff · Full-time · Posted Oct 20, 2026
- Experience
- 5+ years in vehicle, aerospace or electromechanical systems engineering — or an equivalent record of building the analyses that decided real designs.
- Education
- BS/MS in Electrical, Computer, Mechanical, Systems or Aerospace Engineering, or equivalent demonstrated experience.
About the job
Develop vehicle-level mechatronic architecture models and trade studies, apply AI to engineering artifacts and workflows, and support systems analyses from concept through manufacturing.
What you'll do
- Build parametric architecture, cost, and BOM models; run quantified trade studies and assess technology integration.
- Develop and integrate LLM and agentic tools for extracting, checking, searching, and analyzing architecture information.
- Contribute to vehicle-level safety and fault analyses, design reviews, model correlation, and reusable engineering playbooks.
What they ask for
- BS/MS in Electrical, Computer, Mechanical, Systems or Aerospace Engineering, or equivalent demonstrated experience.
- Strong Python for data processing, parametric modeling, automation, and AI workflow prototyping.
- Practical experience building LLM applications, such as RAG pipelines, semantic search, structured extraction, or agent frameworks.
- Systems-minded with ability to reason across subsystems, functions, interfaces, and consequential engineering metrics.
Nice to have
- E/E architecture experience, including zonal and secondary ECUs, power distribution, networks, harness design, CAN/Ethernet, or DBC/ARXML.
- Experience with physical simulation tools, statistical analysis, manufacturing/DFM, GitLab CI/CD, or STPA/DFMEA.
Pay
$171.1K – $235.3K (base salary)
Tools
Python, LLM, RAG, Flow Engineering, Airtable, GitLab, CAN/Ethernet, OpenModelica
AI focus
Build LLM and agentic pipelines for engineering specifications and architecture artifacts, semantic search, candidate configuration generation and checking, gap detection, AI-assisted toolchain workflows, and downstream decision analytics.
Model-written summary · the original posting is authoritative