About The Position

Vehicle Hardware Engineering at Rivian is shifting from slow, traditional FEA iterations to real-time, AI-augmented physics modeling. We are looking for a Senior CAE Automation Leader to build the core Python frameworks, Physics AI models, and automated data pipelines that will shape how our next-generation vehicle platforms are engineered. Join us if you want to bridge the gap between deep structural mechanics and modern machine learning.

Requirements

  • Bachelors of Science in Mechanical Engineering
  • 5-8+ years of experience in Automotive CAE with a history of Delivering complex programs.
  • Hands-on coding proficiency in Python or MATLAB for engineering automation.
  • Experience developing automation APIs, GUIs, or macros within common CAD/CAE environments (e.g., ANSA, HyperWorks, Catia).
  • Practical experience implementing machine learning frameworks (Scikit-learn, PyTorch, etc.) or creating Reduced Order Models (ROMs) to accelerate development cycles.
  • Understanding of structural/crash solvers (e.g., Abaqus, LS-DYNA).
  • Experience in model build requirements, joint/fastener modeling, and correlating virtual results with physical component/subsystem test data.
  • Knowledge of safety/durability regulations (FMVSS, ECE, NCAP) and experience developing robust countermeasures to meet these requirements.
  • Experience in leading technical teams and managing global, cross-functional projects and utilizing tools like Jira.
  • Exceptional communication skills to present complex data pipelines and simulation results to executive leadership.

Nice To Haves

  • Masters/Phd Preferred
  • Time spent in a relevant Master's Degree program may count towards work experience

Responsibilities

  • Develop, drive, & implement AI & Automation strategy (Physics AI, Modsim, Python/MATLAB automation scripts, etc.) to accelerate VHE product development.
  • Architect the next-generation CAE-SDVP execution framework to eliminate simulation bottlenecks and ensure zero-delay readiness for critical milestones like EIF.
  • Own the data pipeline connecting CAD design, FEA/CFD solvers, and physical crash/durability testing to build trust in virtual-first development.
  • Build automated, real-time analytics pipelines that translate raw simulation data into actionable risk assessments for executive leadership.
  • Automate technical report generation processes to provide real-time visibility into performance gaps, simulation fidelity, and program risks.

Benefits

  • annual performance bonus
  • equity awards
  • paid vacation
  • paid sick leave
  • life insurance
  • medical insurance
  • dental insurance
  • vision insurance
  • short-term disability insurance
  • long-term disability insurance
  • 401(k) Plan
  • Employee Stock Purchase Program
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