Zoox

Software Engineer - Simulation - Scenario Editor - Returnship

Foster City, CA
USD 160k - 265k
Machine Learning C++ Python Flask Docker Kubernetes TypeScript Vue.js
This job is closed! Check out or
Description
The Path Forward Return-to-Work program at Zoox is a 16-week paid returnship for experienced professionals returning to the workforce. The program is open to individuals who have at least five years of professional experience and have been out of the paid workforce for at least two years to focus on caregiving of any kind. If you meet these criteria, we welcome you to apply.

Zoox is excited to welcome returners because we appreciate the skills you can offer, the perspective you provide, and the contributions you will make. This program offers you a chance to revamp your skills, gain new experience, and make connections with others transitioning back to the workforce. It also offers support through Path Forward, a non-profit organization on a mission to empower people who’ve been focused on caregiving to transition back to the paid workforce. 

Do you enjoy creating intuitive interfaces that make complicated systems easy to understand and use? Are you interested in applying your skills to build tools for testing and ensuring the safety of autonomous vehicles? The Simulation team at Zoox is looking for you to work on our Scenario Editor tool, and enable creation of scenarios of all kinds that capture the challenges of real world driving.

Responsibilities

    • Develop autonomous driving simulation scenario editor platform to define, inspect, & evaluate the performance of autonomous driving software in any simulated scenario
    • Develop C++ simulation framework to ensure all desired scenario concepts are available
    • Develop web front-end for graphical 3D definition of detailed autonomous driving simulation scenarios
    • Develop web back-end to interact with simulation and driving software / AI

Qualifications

    • Experience developing in C++
    • Experience or interest developing web user interfaces (UI/UX)
    • BS in Computer Science or related field

Bonus Qualifications

    • Experience in Python, Flask, Docker, or Kubernetes
    • Experience with TypeScript, Vue, Three.js
    • Experience with simulation or game development
    • Experience with robotics or autonomous vehicles
    • MS in Computer Science or related field
Compensation
The salary range for this position is $160k to $265k. 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. Additional benefits may be offered.

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.
Zoox
Zoox
Autonomous Vehicles Machine Learning Robotics Transportation

2 applies

1141 views

There are more than 50,000 engineering jobs:

Subscribe to membership and unlock all jobs

Engineering Jobs

50,000+ jobs from 4,500+ well-funded companies

Updated Daily

New jobs are added every day as companies post them

Refined Search

Use filters like skill, location, etc to narrow results

Become a member

🥳🥳🥳 216 happy customers and counting...

Overall, over 80% of customers chose to renew their subscriptions after the initial sign-up.

Cancel anytime / Money-back guarantee

Wall of love from fellow engineers