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Manager - Sensor Calibration

Job

Zoox

Foster City, CA (In Person)

$287,500 Salary, Full-Time

Posted 2 weeks ago (Updated 1 week ago) • Actively hiring

Expires 7/13/2026

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Job Description

Manager - Sensor Calibration Zoox - 2.8 Foster City, CA Job Details Full-time $242,000 - $333,000 a year 20 hours ago Benefits RSU Qualifications Software engineering Management Machine vision systems Managing projects in an engineering role Algorithms Automotive calibration Team development Collaboration with product development teams Research project technical leadership C++ Linear algebra System testing Geometry Mentoring Collaboration with manufacturing teams Engineering product development Managing projects System deployment Managing software development teams Factory experience Research & development Sensors Technical Proficiency Dealership experience Python Cross-functional communication Product lifecycle management Full Job Description As the Sensor Calibration Manager, you will play a critical role in the development and reliability of our purpose-built autonomous vehicles. You will lead a specialized team responsible for ensuring the precise calibration of our core sensor suite, including lidar, radar, and camera systems for factory, service depot, and online. By developing rigorous testing protocols, system diagnostics, analyzing complex sensor data, and optimizing sensor performance across diverse environmental conditions, you will ensure our perception systems deliver the accuracy required for safe and effective autonomous operation. Your leadership will directly impact Zoox's mission to provide the next generation of mobility-as-a-service. Operating at the intersection of robotics and advanced hardware engineering, you will collaborate closely with cross-functional groups—including vehicle engineering, field support team, operation team, and systems teams—to overcome complex integration and execution challenges. Your team's work in maintaining robust and accurate sensor calibration is foundational to enabling our vehicles to safely navigate urban environments and bringing our fully autonomous fleet to market. In this role, you will... Build and support a factory, service depot, and online calibration system for all autonomous driving sensors, including camera, lidar, and radar Build scalable and sustainable architecture and software to meet requirements from factory production capacity, service depot maintenance, and online correction use cases Work cross-functionally to shape scalable roles and responsibilities to optimize calibration efficiency and cost on both the manufacturing and service sides Work on the next-gen auto-calibration system to support online sensor calibration capability
Qualifications Education & Experience:
BS, MS, or PhD in Robotics, Computer Science, Electrical Engineering, or a related technical field, with 5+ years of industry experience in autonomous vehicles, robotics, or advanced driver-assistance systems (ADAS).
Subject Matter Expertise:
Prior working experience in calibration systems from OEM or Tier one. Strong understanding of automobile sensor calibration in factory manufacturing, dealership, and online setup. Experience with sensor calibration product life-cycle development. Deep technical knowledge of intrinsic and extrinsic calibration methodologies for complex, multi-modal sensor suites, specifically encompassing cameras, lidars, and radars.
Leadership Track Record:
Proven experience managing, mentoring, and scaling high-performing engineering teams, with a strong ability to guide technical projects from initial research and development through to testing and production deployment.
Technical Proficiency:
Strong software engineering fundamentals with proficiency in C++ and Python, coupled with a solid foundation in linear algebra, 3D geometry, optimization algorithms, localization, and computer vision
Cross-Functional Collaboration:
Excellent communication skills with a demonstrated ability to collaborate seamlessly with hardware, perception, and systems engineering teams to resolve complex, system-level integration challenges. Bonus Qualifications PHD in AI, computer vision, or robotics Prior 3+ years of working experience from a car manufacturer OEM, tier one 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. 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. Follow us on LinkedIn Accommodations If you need an accommodation to participate in the application or interview process please reach out to 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.