Manager - Sensor Calibration

About the role

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.

Responsibilities

• Build and support a factory, service depot, and online calibration system for all autonomous driving sensors, including camera, lidar, and radar
• Work cross-functionally to shape scalable roles and responsibilities to optimize calibration efficiency and cost on both the manufacturing and service sides
• Develop scalable and sustainable architecture and software to meet requirements from factory production capacity, service depot maintenance, and online correction use cases
• Work on the next-gen auto-calibration system to support online sensor calibration capability

Requirements

• 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.

Qualifications

• 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).
• 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.
• 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.
• 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.
• Excellent communication skills with a demonstrated ability to collaborate seamlessly with hardware, perception, and systems engineering teams to resolve complex, system-level integration challenges.

Skills

• Software engineering fundamentals with proficiency in C++ and Python
• Solid foundation in linear algebra, 3D geometry, optimization algorithms, localization, and computer vision
• 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
• Proven experience managing, mentoring, and scaling high-performing engineering teams
• Excellent communication skills with a demonstrated ability to collaborate seamlessly with hardware, perception, and systems engineering teams

Benefits

• Amazon Restricted Stock Units (RSUs)
• Zoox Stock Appreciation Rights

Pay

$242,000 - $333,000 a year Base Salary Range

Schedule

N/A