Manager, Sensor Integration & Cleaning Hardware

As Manager, Sensor Integration/Cleaning HW, you will lead a team responsible for ensuring Zoox vehicles can operate safely and reliably in real-world environments. You will manage a multidisciplinary team of engineers designing, integrating, validating, and launching sensor assemblies and sensor cleaning systems that maintain the performance of our autonomy sensors across a wide range of environmental conditions. You will drive your team's engineering solutions and program execution to ensure sensors remain within operational specifications, minimize contamination-related failures, optimize for supply chain and volume manufacturing, improve vehicle availability and serviceability, and support the scalable deployment of Zoox autonomous vehicles. In This Role, You Will Lead, mentor, and grow a team of mechanical, electrical, and systems engineers developing sensor assemblies and sensor cleaning systems for Zoox's autonomous vehicle fleet.Own program delivery for sensor integration and sensor cleaning hardware, from concept through validation, launch, and fleet support.Set technical direction and review key design decisions across mechanical packaging, electrical integration, and system-level architecture for sensor and cleaning subsystems.Partner with sensor performance, perception, test, manufacturing, and quality teams to ensure designs meet performance, reliability, and manufacturability requirements.Manage program scope, schedule, and resourcing across multiple concurrent sensor integration and cleaning projects.Drive cross-functional design reviews, DFMEA/PFMEA processes, and validation planning to de-risk programs ahead of production.Represent the team in front of engineering leadership, communicating program status, technical tradeoffs, and risks.Recruit, develop, and retain engineering talent, and build a strong culture of technical rigor and ownership within the team. Qualifications 8+ years of engineering experience in mechanical, electrical, or systems engineering, with prior experience in sensor systems, sensor cleaning, exteriors or closures.3+ years of experience directly managing engineers, including hiring, mentoring, and performance management.Demonstrated experience leading cross-functional hardware programs from concept through production, including specification authoring, supplier selection, DFMEA, DV/PV testing, and manufacturing readiness.Strong technical fluency across mechanical design (CAD, tolerance stack-up, fluid/pneumatic systems) and electrical integration (sensor interfaces, wiring/harness design, controls).Experience managing program scope, budget, and schedule across multiple concurrent workstreams.Excellent cross-functional communication skills, with experience presenting technical tradeoffs and program status to engineering leadership. Bonus Qualifications Direct experience with camera, lidar, or radar sensor systems and their environmental/contamination challenges.Experience with fluid or airflow simulation (CFD) for cleaning system design.Background in autonomous vehicle or ADAS hardware programs.Experience scaling a team through rapid program growth or a transition from prototype to production. $233,000 - $324,000 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.