Control Engineer


Our client is looking for a Control Engineer to join an exciting autonomous driving start-up in Cambridge, MA. They're working on state-of-the-art algorithms to develop a human-like, predictive AI system for autonomous vehicles to navigate complex environments.

The ideal candidate has several years of work experience.

Role responsibilities include:

  • Building and using models to simulate and test control algorithms, evaluating and verifying all aspects of dynamic behaviour at both component and system level
  • Conceiving test scenarios and coordinating with other teams to conduct extensive software testing and field testing on autonomous vehicles 
  • Develop metrics and intuitive tools to evaluate vehicle dynamics controller performance
  • Participate in architecture strategy & algorithm design reviews
  • Conduct root-cause investigations, data processing and analysis of results from simulations and vehicle testing

Qualifications

  • Bachelor/Master Degree in Mechanical Engineering, Controls Engineering, Aerospace Engineering, Applied Mathematics, Electrical Engineering, Mechatronics, or similar technical discipline.
  • Engineering background in feedback control theory: linear system analysis (time domain and frequency domain), stability analysis, frequency response, system identification, optimal control techniques
  • HIL (Hardware-in-loop) testing and signal processing experience
  • Strong experience with Matlab/Simulink
  • Excellent communication skills
  • Passionate about self-driving cars and robotics

Preferred

  • Basic understanding, and intuition for physics of multi-body systems
  • Experience with coordinating, interpreting, and improving control algorithm requirements
  • Experience designing test framework to ensure control algorithm compliance with requirements
  • Working in a formal development environment (i.e. ISO26262)
  • Robotics experience a plus