Software Engineer - Perception & Sensing

1 Month ago • 5-7 Years • $196,000 PA - $278,000 PA
Software Development & Engineering

Job Description

At Zoox, you will collaborate with a team of world-class engineers on AI, robotics, mechatronics, planning, control, localization, computer vision, and more. You'll master new technologies while working on code, algorithms, and research to impact key systems for autonomous vehicle development. Zoox is developing the first ground-up, fully autonomous vehicle fleet and the supporting ecosystem, aiming to provide next-generation mobility-as-a-service in urban environments.
Good To Have:
  • Experience with sensing hardware
  • Experience with autonomous robots
  • Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)
  • Experience with novel pipelines and architectures for convolutional neural nets
Must Have:
  • Master's degree or PhD in computer science or related field
  • Fluency in C/C++
  • Strong interpersonal communication skills
  • Experience with 3D data and representations (pointclouds, meshes, etc.)
  • Strong background in Neural Network Learning, Computer Vision and Machine Learning
  • Extensive experience with programming and algorithm design.
  • 5-7 years of experience in a related field
Perks:
  • 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
  • Life insurance
  • Sign-on bonus (may be part of a compensation package)

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At Zoox, you will collaborate with a team of world-class engineers with diverse backgrounds in areas such as AI, robotics, mechatronics, planning, control, localization, computer vision, rendering, simulation, distributed computing, design, and automated testing. You’ll master new technologies while working on code, algorithms, and research to impact key systems to move Zoox forwards.

Qualifications

  • Master's degree or PhD in computer science or related field
  • Fluency in C/C++
  • Strong interpersonal communication skills
  • Experience with 3D data and representations (pointclouds, meshes, etc.)
  • Strong background in Neural Network Learning, Computer Vision and Machine Learning
  • Extensive experience with programming and algorithm design.
  • 5-7 years of experience in a related field

Bonus Qualifications

  • Experience with sensing hardware
  • Experience with autonomous robots
  • Experience with realtime sensor fusion (e.g. LiDAR, camera, radar)
  • Experience with novel pipelines and architectures for convolutional neural nets

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 $196,000 to $278,000. 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.

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.

Accommodations

If you need an accommodation to participate in the application or interview process please reach out to accommodations@zoox.com or your assigned recruiter.

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.

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