Top Tech Jobs & Startup Jobs

Lead workforce planning processes and governance for Fleet Operations. Drive cross-functional planning cadence, translate forecasts into staffing actions, align plans with Finance, build dashboards, facilitate planning meetings, and implement automation to scale workforce operations.

Develop and optimize multi-modal (Lidar, Camera, Radar) 3D occupancy, segmentation, and flow models. Architect temporal and vision-first fusion approaches, ensure temporal consistency, and optimize networks for real-time on-vehicle inference. Collaborate with tracking, prediction, and planning teams to deliver precise geometric and motion outputs for autonomous navigation.

Lead the team responsible for managing and deploying network infrastructure across multiple global sites, ensuring operational stability and security while overseeing complex projects.

Lead and develop a team of Recruiting Coordinators, manage interview scheduling, and drive operational improvements in recruiting processes.

The role involves developing and maintaining behavioral models for road users to enhance autonomous vehicle decision-making, collaborating with other teams and optimizing outputs for safety and effectiveness.

Lead development and implementation of a quality playbook for Fusion Center support teams. Define QA KPIs, run calibration sessions, produce monthly executive quality reports, partner with cross-functional teams on training/processes, analyze support data, recommend automation and long-term fixes to reduce ticket volume and improve customer and employee satisfaction.

Lead long-term vision and roadmap for Zoox's ServiceNow platform while performing hands-on development for strategic initiatives, complex integrations, and architecture proofs. Oversee and hold a managed services vendor accountable to SLAs, manage and mentor contractors, contribute to vendor selection and governance, and present platform strategy to executive stakeholders.

Define and own fail-operational safety strategy and roadmap for new ODDs. Design fault response and decision-making logic, build assessment frameworks and metrics for resilience, partner with engineering and operations, and use AI/LLM tools and data automation to improve fault handling and safety.

Lead and grow a team building onboard deep learning behavior models for autonomous driving. Set technical strategy, guide large-scale model training and efficient inference, coordinate across perception, planning, simulation, validation, and infra teams, monitor KPIs, and manage resources to deliver safe, comfortable driving models.

Lead end-to-end operations cost reduction: analyze fleet operations to identify and size cost drivers, define roadmaps, build visibility tools and KPIs, run cross-functional improvement programs, partner with Finance/Data Science for trusted analytics, and communicate measurable cost impacts to leadership.