Senior/Staff Software Engineer - Computer Vision

Number of employees

2600

Foster City, CA, United States

Posted on: 2023-05-15

Category: emobility

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Employment type:

Full time

Experience required:

Senior

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.


Our Calibration, Localization, and Mapping (CLAMS) team is responsible for building the algorithms and tools necessary for keeping Zoox vehicles well calibrated, always knowing where they’re located within the world, and aware of their environment. Without precise calibration, localization, and mapping our vehicles would be at a disadvantage when it comes to perceiving and reasoning about the surrounding world, and is therefore foundational in enabling results from many other teams across Zoox. This work is critical for scaling autonomous driving in a safe and reliable way. We are looking for engineers who are ambitious and excited about helping Zoox deliver on its goals to deliver autonomous mobility.

Compensation
There are three major components to compensation for this position: salary, Amazon Restricted Stock Units (RSUs), and Zoox Stock Appreciation Rights. The salary will range from $220,000 to $319,000. A sign-on bonus may be part of a compensation package. Compensation will vary based on geographic location, job-related knowledge, skills, and experience.  

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.

Vaccine Mandate
Employees working in this position will be required to have received a single dose of the J&J/Janssen COVID-19 vaccine OR have completed the two-dose Pfizer or Moderna vaccine series. In addition, employees will be required to receive a COVID-19 booster vaccine within two months of becoming eligible for the booster vaccine.

Employees will be required to show proof of vaccination status upon receipt of a conditional offer of employment. That offer of employment will be conditioned upon, among other things, an Applicant’s ability to show proof of vaccination status. Please note the Company provides reasonable accommodations in accordance with applicable state, federal, and local laws.

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.


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.

Responsibilities

  • Investigate and develop rigorous, cutting-edge solutions to challenging, real world localization and pose estimation problems
  • Solve algorithmic problems that will allow Zoox to build a robust and safety-critical localization and pose system
  • Increase stability and reliability of our fused global and odometric sensor data, to create a highly-accurate global position estimate
  • Identify and mitigate failures of the position estimation system, e.g. driving outside nominal environments or during sensor failures
  • Qualifications

  • 8+ years of experience in a related field
  • Fluency in C++
  • Experience with modern computer vision techniques
  • Experience with pose estimation, SLAM, probabilistic filtering, and 3D data
  • Experience with LiDAR and/or camera
  • Strong mathematical skills
  • Bonus Qualifications

  • Experience with machine learning
  • Experience with autonomous robots
  • Experience with realtime sensor fusion (e.g. IMU, LiDAR, camera, odometry, radar)
  • Publications in your field (CVPR, ICCV, RSS, ICRA preferred)
  • Experience with 3D data and representations (pointclouds, meshes, etc.)
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