Responsibilities
- Evaluate and compare lidar technologies to drive down-selection decisions with customer teams.
- Develop test plans, perform testing, and report results for lidar systems, including procedures that are traceable to corresponding system requirements.
- Generate, analyze, and interpret large LiDAR datasets for KPIs/metrics across a variety of scenarios and conditions.
- Lead root-cause analysis, corrective action, and validation for fleet issues, with internal and external entities.
- Support and maintain lidar at scale in an autonomous vehicle fleet.
- Deliver traceable, testable lidar requirements, enforcing compliance in the design phase with internal and external stakeholders.
Requirements
- B.S., M.S., PhD in Physics, EE, or Optics
- Minimum 7+ years of experience working with lidar systems
- Strong understanding of lidar physics, as well as experience with common architectures and technologies in automotive lidar
- Demonstrated ability to write high-quality, traceable performance requirements for lidar components
- Experience with functional testing, reliability testing, and qualification of opto-mechanical or opto-electrical systems
- Experience with optical systems, such as laser technology, detector technology, and imaging technology.
- Strong technical documentation and communication skills
- Quantitative, data-driven mindset
- Integration of sensors with vehicle platforms
- Unix/Linux, C++, Python, Git/GitHub, MATLAB
We're looking for top talent that shares our passion and wants to be part of a fast-moving and highly execution-oriented team In this role, Zoox is looking for a candidate with a background in lidar to support hardware selection and validation for autonomous vehicles. In this role, candidates are expected to: