Level 5, part of Woven Planet, is developing self-driving technology using a machine-learned approach to create safe mobility for everyone. Our goal is to build level 4 autonomous vehicles to improve personal transportation on a global scale. Woven Planet is a software-first subsidiary of Toyota whose vision is to create mobility of people, goods, and information that everyone can enjoy and trust.

As part of Woven Planet, Level 5 has the backing of one of the world’s largest automakers, the talent to deliver on our goal, and the opportunity for near-term product impact and revenue—a combination rarely seen in the AV industry.

Level 5 is looking for doers and creative problem solvers to join us in improving mobility for everyone with self-driving technology. We’ve built a diverse and talented group of software and hardware engineers, and each has the opportunity to make a meaningful impact on our self-driving stack.

Our team of more than 300 works in brand new garages and labs in Palo Alto, tests AVs at our dedicated test track in the Silicon Valley, and explores the AV industry’s most compelling research problems at our office in London. With support from more than 800 Woven Planet colleagues in Tokyo, Level 5’s work to improve the future of mobility spans the globe. And we’re moving fast — in Level 5’s first 18 months, we launched an employee pilot, and are now testing our fourth generation vehicle platform in San Francisco. Learn more at level-5.global.

The Camera Module Lead will architect and test a camera system for autonomous vehicles. The camera lead will drive and define module-level requirements, including optics, electronics to meet performance, cost, and reliability targets. The camera lead pioneers and influences V&V test, camera subsystem orchestration and constellation, has clear understanding of benefits and challenges of the image signal processing (ISP) pipeline. This role will help spearhead the camera system roadmap. Finally, this position will require the individual to work cross-functionally with perception, localization, software integration, vehicle integration as well as a range of camera module- and subsystem-partners.

Responsibilities:

  • Define, characterize, evaluate, influence, test and deploy state of the art camera systems for autonomous vehicles and other vehicle applications
  • Maintain competitive landscape portfolio of various camera module and subsystem partner technologies
  • Own and maintain camera system engineering specification
  • Lead discussions with vendors in the space of camera module, image sensor, interface, ISP SoC, etc
  • Define and maintain test plans and incoming/outgoing quality control procedures
  • Collaborate and lead engagement with contract manufacturers and suppliers to ensure performance against program milestones
  • Lead and direct the work of technicians and test engineers as needed

Experience:

  • Extensive experience with camera system design and architecture, preferable in automotive, machine learning, or robotics applications
  • Experience with leading camera module design, development, manufacturing, verification and deployment from concept to production
  • Experience with image sensor verification and validation (CMOS sensor pixel, lens quality, illumination)
  • Strong understanding of camera fundamentals, imaging technologies and challenges with automotive camera applications
  • Strong understanding of image signal processing (ISP) pipelines, image quality tuning, camera calibration, image quality metrics, color science
  • First-hand experience with camera hardware systems and experience with image capture and analysis using CMOS sensors, physics performance simulation in Matlab or python, digital imaging pipeline and algorithms, and possible implementation of cameras on autonomous vehicles 
  • Fundamental understanding of camera systems at component level (optics, electronics, ISP SoC)
  • Camera calibration, including factory calibration, intrinsics/extrinsics calibration, ISP tuning calibration
  • Experience with functional testing, reliability testing, and qualification of camera systems
  • Fundamental understanding of computer vision algorithms, computational photography
  • Willing to travel internationally up to 10% after pandemic-related travel restrictions are lifted.
  • Strong communication and documentation skills and technical leadership
  • BS, MS, or PhD in optics or a related engineering or science field

 

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・We are an equal opportunity employer and value diversity.
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