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The Site Reliability Engineer at Zoox will manage the availability and resilience of services for autonomous vehicles, design systems, and lead incident resolution.

The Operations Lead will manage the Perception Data team, overseeing data collection and labeling for AI models, ensuring high quality and timely delivery while working with ML engineers and external partners.

The role involves optimizing machine learning models for autonomous driving by implementing performance techniques and collaborating with cross-functional teams on architectural decisions.

As a Technical Program Manager, you will drive program management efforts, collaborate with teams, improve processes, and enhance communication to succeed in technology projects.

The role involves designing and validating 3D rendering software for sensor simulation in autonomous vehicles and leading simulation engineers to enhance simulation accuracy and performance.

Lead and grow a mixed software and ML engineering team building scenario authoring tools, generative models, and agentic tooling to validate autonomous vehicle safety. Own technical direction, roadmap, and delivery; partner with product, safety, autonomy, and executives; recruit, mentor, and scale generative scenario creation across the company.

Provide legal oversight for state and federal autonomous vehicle testing and deployment; design and implement compliance processes and audits; prepare and submit regulatory filings (CPUC, CA DMV, NHTSA); respond to regulator inquiries; and support cross-functional regulatory, safety, and policy teams on permits, engagement, and rulemaking to enable commercial robotaxi operations.

The Design Reliability Engineer will establish reliability targets, lead DFMEA processes, develop test plans, and implement monitoring systems for sensors and automotive electronics.

Develop and maintain integrated master schedules and critical paths for vehicle programs; track progress against baselines, identify schedule risks, create mitigation plans, prepare executive status reports and dashboards, and coordinate cross-functional milestones to ensure on-time vehicle launches.

Source, screen, and qualify candidates for niche engineering roles (AI software, systems engineering, software development, system verification). Build talent pipelines and partner with recruiters and hiring managers to meet hiring priorities.