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Hybrid Optical Test and Reliability Engineer en Zoox

Zoox · Foster City, California, US, Estados Unidos De América · Hybrid

146.000,00 US$  -  201.000,00 US$

Python

Matlab

Microsoft Excel

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We are seeking a highly motivated and skilled Optical Test and Reliability Engineer to join our team. This role will be critical in ensuring the reliability and performance of optical sensors in our large fleet of autonomous vehicles. The engineer will be responsible for developing and implementing testing processes, conducting field tests, and analyzing data to maintain and improve the optical systems.


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.


In This Role, You Will:
  • Optical Characterization - Develop and execute test plans for image sensors and optics in both laboratory and field settings. Measure performance metrics (e.g., resolution, modulation transfer function, stray light, contact angle) under varied environmental conditions
  • Process Development & Refinement - Define scalable processes for maintenance tasks (cleaning, recoating, alignment) and hand off requirements for automation or subcontracting. Continuously refine test fixtures, protocols, and data-capture workflows to boost efficiency and repeatability
  • Reliability Assessment - Aggregate long-term field data (coating degradation, abrasion, contamination) to build statistical reliability models. Work with cross-functional teams to establish service & replacement thresholds based on model outputs
  • Present findings, draft technical requirements, and translate complex optics data into clear recommendations for safety-critical deployments
  • Plan and execute field tests of new sensors or hardware variants, troubleshoot on-site, and capture environmental data
  • Coach field technicians on proper handling and inspection procedures


    • Qualifications:
  • Strong comprehension of image-sensor and optical fundamentals, including key performance metrics and test methods
  • Hands-on experience with optics metrology tools (profilometers, spectrometers, haze meters, contact-angle goniometers, etc.)
  • Demonstrated ability to design and run experiments (DOE), analyze results statistically, and iterate quickly in a “scrappy” hands-on environment
  • Process-development mindset with empathy for field operators and an eye toward automation
  • Basic proficiency with programming (e.g. MATLAB, Python) for data analysis, image processing, or instrument control
  • Excellent verbal and written communication skills; proven track record coordinating across functional teams
  • Willingness to work in both lab and outdoor settings, and to travel to deployment sites as needed
  • B.S. or higher in Optical Engineering, Electrical Engineering, Applied Physics, or related discipline with optics/camera focus


    • Bonus Qualifications:
  • Impact: Your work ensures safety-critical vision systems perform reliably in real-world, public-space deployments
  • Variety: From bench-top characterization to field trials, you’ll tackle diverse projects that span optics, reliability modeling, and process innovation
  • Collaboration: Engage with a passionate, cross-disciplinary team committed to pushing the boundaries of sensing and robotics
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