Be an Early Applicant
Zoox is an autonomous mobility company that’s created a purpose-built robotaxi to give the world a better way to ride.
The Role
Lead data analysis and collision injury modeling to enhance safety benchmarks for autonomous driving at Zoox, collaborating with cross-functional teams.
Summary Generated by Built In
Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. You will be part of the SDMA Safety Research team, which is scoped with enhancing the foundational approaches used in the safety case. The research you do could potentially lead to methodologies that can inform critical design aspects of the Zoox robotaxi.
In this role, you will:
- Lead data analysis of various crash data sources including naturalistic driving data and crash databases to establish road user safety benchmarks
- Lead the development of collision injury modeling using empirical, testing, and other data sources to inform the evaluation of Zoox autonomous driving safety performancesImprove our safety risk assessments methodology and data sources.
- Contribute to the development and evolution of the Safety Case of Zoox technology, in close collaboration with cross-functional teams including Systems Engineers, Software and Hardware Engineering, Safety Strategy and Operations, Vehicle Engineering, Policy, Legal, etc.
Qualifications
- M.S. or higher degree in an Engineering or Science discipline with a focus in biomechanical engineering, injury epidemiology, mechanical engineering, statistics or similar.
- Proficiency in quantitative analysis/modeling and relevant tools
- Have the ability to use Python to interface with Zoox-internal driving- and simulation data sources
- 5+ years relevant experiences in analyzing automotive crash and naturalistic databases
- Collaborative team player with strong written and verbal communication skills
Bonus Qualifications
- Ph.D. in an Engineering or Science discipline with a Data Science or Statistics focus
- 7+ years of relevant work experience related to traffic conflicts, naturalistic driving data analysis, and/or injury epidemiology
- Publications in the field of vehicle/traffic safety research and collision epidemiology
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.
Follow us on LinkedIn
Accommodations
If you need an accommodation to participate in the application or interview process please reach out to [email protected] 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.
Top Skills
Python
Statistical Analysis Tools
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Zoox is an autonomous mobility company that was founded to provide a safer, cleaner, and more enjoyable future on the road. To achieve that goal, the company has spent the past 10 years creating a purpose-built robotaxi that gives the world a better way to ride.
Why Work With Us
At Zoox, we are working to solve one of the greatest technological challenges of our generation.
From the beginning, we have been focused on our goal of reimagining transportation from the ground up. We are a mission-driven community of innovators working together to create a safer, cleaner, and more enjoyable future on the road.
Gallery
