Chassis Engineer - Actuators
Foster City, CA
Vehicle Development – Vehicle Systems Engineering
At Zoox, you’ll collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, machine learning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You will be challenged to rethink what it means for hardware design to arrive at elegant and efficient systems now that a robot is in control. Working at a startup gives you the chance to manifest your creativity and make a big difference in the final product.
To deliver this system, the candidate for will be asked to design components related to suspension, brakes, and steering systems. Initial work will focus on hydraulic lines and fittings as well as component bracketry. Required documentation will include: failure mode and effects analysis, 2D and 3D computer aided drawings, system and component level technical specifications, and system schematics. As we are a small team, component and vehicle testing will need to be supported by the mechanical engineer as well as coordination with calibration and function development.
- Bachelors degree in mechanical engineering
- 3 to 5 years experience in chassis design
- Understanding of strength and fatigue analysis techniques
- Strong communication skills
- Experience with supplier management
- Proficiency with a CAD software package
- Patents awarded
- FSAE or Baja experience
- Experience with any of the following components: wheels, tires, drive shafts, and hub bearings
- CATIA CAD software experience
Zoox is a robotics company developing fully-autonomous vehicles and the supporting ecosystem required to bring this technology to market. Sitting at the intersection of robotics, machine-learning, and design, Zoox aims to provide the next generation of mobility-as-a-service in urban environments. We believe the transition to self-driving vehicles requires a combination of elegant vision and uncompromising execution.