Zoox is a purpose-built autonomous vehicle designed for riders, not drivers. Learn more about the Zoox robotaxi and the future of ride-hailing. Backed by Lux.
About the role
Perform safety analysis and define performance requirements for our motion planning and control systems as our Operational Design Domain (ODD) grows, covering different road/environmental conditions and degraded driving modes. Build and extend fault injection simulations to determine how quickly the vehicle must detect and respond to faults in new ODDs and on next-generation platforms, with the goal to inform safety requirements and specifications. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Master’s degree or higher in Robotics, Automotive, Mechanical, Electrical Engineering, or a related field, with 4+ years of relevant experience
- Hands-on experience with vehicle motion control systems development
- Experience building or using simulations to analyze vehicle dynamic behavior and inform motion control requirements
- Strong analytical skills in quantitative analysis and modeling, performance metrics definition, and system-level trade-off analysis
- Excellent technical communication and documentation abilities, with demonstrated success working with cross-functional teams in complex technical environments
- Experience with autonomous vehicle development or similar complex robotics systems
More about this role
Zoox is on an ambitious journey to develop a full-stack autonomous mobility solution for cities and safely deploy such a robotaxi solution. The System Design and Mission Assurance (SDMA) team plays a foundational role in the company's success, responsible for constructing the safety case and fail-operational design for our autonomous driving robots before public road deployment. You will be part of an organization with strong leadership and a transparent, respectful culture that enables you to reach your full potential.
Perform safety analysis and define performance requirements for our motion planning and control systems as our Operational Design Domain (ODD) grows, covering different road/environmental conditions and degraded driving modes.
Build and extend fault injection simulations to determine how quickly the vehicle must detect and respond to faults in new ODDs and on next-generation platforms, with the goal to inform safety requirements and specifications.
Support simulation pipelines that verify AI driving safety, including setting requirements for the vehicle dynamics models they rely on.
Partner with software, hardware and verification and validation teams to ensure...
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