Teams at Zoox

Develop distributed computing algorithms, performance metrics, and analysis tools for Zoox’s Collision Avoidance System. Analyze petabytes of urban driving data, evaluate system performance, and collaborate with CAS Perception, Planning, Systems Design, Mission Assurance, and QA engineers to define autonomous-driving validation metrics and plans.

Lead strategic sourcing and supplier partnerships for vehicle direct materials and operations infrastructure. Drive RFQs, negotiations, contract management, supplier performance, cost reduction initiatives, total cost of ownership models, and cross-functional stakeholder alignment to support vehicle development and autonomous ride-hailing operations.

Design and optimize on-vehicle perception inference: allocate CPU/GPU resources, compress and quantize large multimodal models, build TensorRT model conversion pipelines, and deliver production-quality low-latency C++/CUDA inference for power- and thermal-constrained vehicle SoCs.