Leads vehicle-system engineering and safety evidence for L4 autonomous driving, aligning control, validation and operational teams and guiding regulatory reviews using real-vehicle test results.
About this role
Newmo is hiring an Optimal Control Engineer for its autonomous driving development group, which is building an in-house end-to-end (E2E) self-driving model for a driverless taxi service. The engineer designs and implements the control layer that lets the model's output be executed safely on a vehicle, using mathematical treatment of vehicle dynamics and safety constraints.
Responsibilities include designing and implementing optimal control algorithms that respect vehicle dynamics and safety constraints, developing safety filters and trajectory-correction logic for E2E model output, building vehicle motion models and formulating control and optimization problems, and evaluating the results through simulation, robustness testing and improvements in computational efficiency. The engineer sees the control they formulate run in simulation and on real vehicles, and has wide discretion in a start-up phase.
No years of experience or specific qualifications are listed. The work centres on optimal control, vehicle modelling and optimization applied to the safety of neural-network output on the road.
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