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.
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
Develop methods to test performance change in the field (coating degradation, abrasion, contamination) to support statistical models. Work with cross-functional teams to establish service thresholds and refine procedures 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
3+ Years of Practical Optical Test Experience
B.S. or higher in Optical Engineering, Electrical Engineering, Applied Physics, or related discipline with optics/camera focus
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
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
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.
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to
[email protected] 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.
