Drimva

Rivian and Volkswagen Group Technologies

Sr. Dynamics and Suspension Controls System Engineer

$135K–$186K

Irvine, California · Hybrid · Senior · Full-time · Posted Aug 17, 2026

Experience
3–5 years of systems engineering experience focused on vehicle dynamics or chassis controls.
Education
Bachelor's degree or higher in Electrical, Mechanical, Automotive, or Controls Engineering.

About the job

Develop and validate vehicle dynamics features and models across chassis controls, torque vectoring, active driveline, and suspension systems, using AI-assisted tools to improve engineering workflows.

What you'll do

  • Define vehicle dynamics attributes and develop traceable requirements across vehicle, system, and component levels; coordinate with OEM stakeholders and technical teams.
  • Support feature verification, functional safety, DFMEA, DVP&R, and testing across SIL, HIL, component, and vehicle levels.
  • Develop and maintain physics-based vehicle models, analyze test data, and automate engineering tasks using AI-assisted tools.

What they ask for

  • Bachelor's degree or higher in Electrical, Mechanical, Automotive, or Controls Engineering.
  • 3–5 years of systems engineering experience focused on vehicle dynamics or chassis controls.
  • Working knowledge of Controls, Electrical, or Mechanical engineering applied to automotive systems, and experience with electric powertrain systems and validation at one or more test levels.
  • Familiarity with DFMEA, understanding of ISO 26262 functional safety guidelines, and demonstrated use of AI coding assistants or AI-powered engineering analysis tools.

Nice to have

  • Master's degree; experience testing at proving grounds; familiarity with MBSE methodologies and tools.
  • Experience with requirement management tools (Jama, Flow or equivalent), Vector CAN tools, or applying LLMs/AI to requirements, test cases, or FMEA workflows.

Pay

$135.1K – $185.8K USD base salary

Tools

ISO 26262, MBSE, MATLAB, Python, GitHub Copilot, Cursor, Claude, Vector CAN tools

AI focus

Use AI-assisted coding, simulation processing, requirements traceability, test-data analysis, and scripting to accelerate engineering analysis and documentation.

Model-written summary · the original posting is authoritative

First seen Oct 29, 2026 · Last verified Nov 5, 2026 (UTC)