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Mechanical Design Engineer - Sensor Cleaning

Job Description - Mechanical Design Engineer - Sensor Cleaning


As a Mechanical Design Engineer on the Sensor Cleaning team, you will play a critical role in ensuring Zoox vehicles can operate safely and reliably in real-world environments. You will be responsible for developing, integrating, validating, and launching sensor cleaning systems that maintain the performance of cameras, lidars, and other perception sensors across a wide range of weather and contamination conditions. 


you will drive engineering solutions that ensure sensors remain within operational specifications, minimize contamination-related failures, reduce supply chain and manufacturing yield losses, improve vehicle availability, and support scalable deployment of Zoox autonomous vehicles. 


In This Role, You Will



  • Develop sensor cleaning components and systems to keep sensors free of contaminants. 

  • Perform packaging studies, tolerance analysis, DFMEA, DFM/DFA, and reliability assessments. 

  • Design and build mockups, proofs of concept, and functional prototypes

  • Develop and release CAD models, engineering drawings, and BOMs. 

  • Support test engineering, sensor performance engineers, and validation teams in test design, failure analysis, and quality management 

  • Collaborate with manufacturing engineers and quality engineer to ramp production processes and meet build objectives 

  • Maintain BOMs, documenting and approving build processes, and supporting quality and cost engineering throughout the supply chain of the assemblies

  • Collaborate with suppliers to develop prototypes, resolve technical issues, and support manufacturing readiness. 


Qualifications


 



  • Mechanical Engineering or Mechatronic BS + 5 years or MS + 3 years of working experience within the automotive industry. Prior sensor cleaning experience is a bonus. 

  • Strong mechanical design fundamentals including:

    • Plastic injection molded components

    • Sheet metal and machined parts

    • Tolerance stack-up analysis

    • Fluid systems and pneumatic systems

    • Thermal and heating system integration 



  • Proficiency with 3D CAD tools (CATIA, NX, Creo, or SolidWorks). 

  • Experience leading cross-functional teams to innovate and drive new ideas and solutions into products.

  • Experience with DV/PV testing, DFMEA, PFMEA, APQP, and PPAP processes.

  • Optical sensor/ADAS system experience is a bonus


Bonus Qualifications



  • Prior experience in sensor cleaning is a plus 

  • Experience in automotive sensors like cameras and LiDAR is a plus

  • Experience with fluid simulation and CFD tools for liquid or airflow analysis is a plus


$151,000 - $207,000 a year

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.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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