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Mechanical Engineer, Charging Systems

External
zoox logoZoox · Foster City, CA
Full-timeOn-site1mo ago
Computer VisionCross-functional CollaborationDocumentationMachine LearningRobotics
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Requirements

  • Bachelor's degree or equivalent degree in Mechanical Engineering or equivalent experience
  • 2+ years of experience in vehicle design
  • Experience with mechanical design for power electronic devices
  • Experience with the casting of metal components
  • Experience with injection molding of plastic components
  • Knowledge of automotive development/release process and long-term schedule planning
  • Proficiency with CATIA V5 or V6 CAD software
  • Experience managing requirements and compliance in Polarion.

Additional Information

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. As a Charging System Mechanical Engineer, your focus will be on the mechanical design of components for the L5 Electric Vehicle's High Voltage distribution and Charging systems. You will lead module development, managing the entire process from prototype to production alongside tier-one suppliers. This role requires defining system requirements based on a first-principles design approach and ensuring all components meet strict international standards (SAE, UL, IEC, ISO). You will also be responsible for creating critical documentation, including 3D/2D computer-aided drawings and detailed technical specifications. A major part of your work will involve cross-functional collaboration to break down and solve complex problems, identify root causes of failures, develop mitigation strategies, and integrate these learnings into new designs. Base Salary Range There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. A sign-on bonus may be offered as part of the compensation package. The listed range applies only to the base salary. Compensation will vary based on geographic location and level. Leveling, as well as positioning within a level, is determined by a range of factors, including, but not limited to, a candidate's relevant years of experience, domain knowledge, and interview performance. The salary range listed in this posting is representative of the range of levels Zoox is considering for this position. Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance. About Zoox Zoox is developing the first ground-up, fully autonomous vehicle fleet 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're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter. A Final Note: You do not need to match every listed expectation to apply for this position. Here at Zoox, we know that diverse perspectives foster the innovation we need to be successful, and we are committed to building a team that encompasses a variety of backgrounds, experiences, and skills.


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