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Salary
$233k – $324k per year
Location
In office (Foster City)
Seniority
Staff · 8+ years exp
Visa
H-1B filings in 12 months: 373 · green card filings: 120

Confirmed on the employer's own hiring board on Oct 10, 2026. First seen by Alion on Aug 26, 2026. Zoox scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Zoox is an American autonomous vehicle company founded in 2014 that designs a purpose-built robotaxi rather than retrofitting an existing car. Its vehicle has no steering wheel or driver position, seats four passengers facing each other, drives equally well in either direction and was developed alongside the sensors, compute and software that operate it, which required the company to certify the design under its own self-certification of federal motor vehicle safety standards. Amazon acquired the company in 2020 and it has since begun public robotaxi service in Las Vegas and San Francisco while testing in several other American cities.

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.
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