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.

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

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