Sensor Engineer

Number of employees

2600

Foster City, CA, United States

Posted on: 2025-05-20

Category: emobility

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Employment type:

Full time

Experience required:

Intermediate

Salary

Salary not provided

About the company:

Zoox is transforming mobility-as-a-service by developing a fully autonomous, purpose-built fleet designed for AI to drive and humans to enjoy.


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 artificial intelligence, robotics, 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. Zoox is looking for a Sensor Engineer with a background in automotive sensor systems to join our Advanced Hardware Engineering team.

Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary range for this position is $163,000 to $223,000. A sign-on bonus may be offered as part of the compensation package. 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.
 
Zoox also offers a comprehensive package of benefits, including paid time off (e.g. sick leave, vacation, bereavement), unpaid time off, Zoox Stock Appreciation Rights, Amazon RSUs, health insurance, long-term care insurance, long-term and short-term disability insurance, and life insurance.

In this role, you will:

  • Develop comprehensive test plans and execute sensor performance tests across structured lab environments, on-vehicle setups, and unstructured real-world scenarios.
  • Write robust and reusable Python scripts for data analysis and performance evaluation of radar, lidar, and other sensing modalities.
  • Leverage a deep understanding of radar physics to interpret sensor behavior in diverse environmental conditions and operational contexts.
  • Support the evaluation and selection of sensor suppliers by designing experiments, reviewing technical data, and assessing integration complexity.
  • Collaborate closely with cross-functional teams, including vehicle engineering, perception, and systems teams, to ensure seamless sensor integration.
  • Qualifications

  • Strong understanding of automotive radar systems, including basic signal processing principles, sensor physics, and environmental interactions.
  • Strong proficiency in Python for data analysis and test automation.
  • Hands-on experience integrating sensors (especially radar) into vehicle platforms, including troubleshooting and on-vehicle validation.
  • Bachelor's degree in Electrical Engineering, Physics, Robotics, or a related field
  • Bonus Qualifications

  • Master’s degree in a relevant field.
  • Experience with a range of optical sensors, including lidar and cameras, and their integration into complex systems.
  • Experience with large datasets and statistical analysis to evaluate sensor performance and support data-driven decisions.
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