CAE Engineer - Safety occupant
About Zoox Zoox is developing fully autonomous vehicles and the supporting ecosystem required to bring the technology to market at scale. 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 believe the transition to self-driving vehicles requires a combination of elegant vision and uncompromising execution. The Role At Zoox we have set the goal to provide our customers with the highest level of safety while using our fully autonomous vehicles. You will work with a team of world-class engineers with diverse backgrounds such as robotics, control, and vehicle engineering, to deliver the Vehicle Safety performance. Performing the occupant safety simulation activities through the virtual and physical development phases, to sign off and certification. Using analysis, reporting and excellent communication skills to give clear inputs to the safety attribute team to ensure complete vehicle safety targets are met. Working at a startup gives you the chance to manifest your creativity and make a big difference in the final product.
In This Role, You will: Support vehicle level safety targets to support the Zoox safety strategy
Take ownership of the occupant safety CAE and support balancing with other Vehicle Integration Attributes
Setting up the vehicle, dummy, restraints models and co-ordinating model build
Support the correlation virtual / physical
Support the overall vehicle structural analysis with respect to various attributes
Support virtual DVPs and execute accordingly
Suggest countermeasure design solutions
Generate virtual analysis engineering reports
Support report outs at project gateways
Experience of leading small teams and weekly cadence meetings
Qualifications Masters degree in mechanical engineering, or related field
Experienced with FMVSS, USNCAP, IIHS, ECE, EU legal and consumer safety protocols
Extensive experience in virtual development in occupant safety CAE using LS-dyna
Extensive experience in SW tools, BetaCAE, Oasys, LS-Dyna, FE dummies, LS-Opt
Strong analytical and communication skills
Experience with basic Python coding