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Own day-to-day execution of large-scale field deployments: plan schedules, coordinate teams/vehicles/hardware, track productivity and targets, resolve real-time issues, maintain reports/dashboards, improve processes, launch new-city operations, and hire/train field staff.

Lead and run end-to-end global field operations: source partnerships, manage site readiness, deploy and support field teams, troubleshoot hardware and deployment issues, ensure data offload and quality, run high-velocity data collection campaigns, manage kits/logistics, and improve operational systems across audits, inventory, and payouts while working closely with hardware, software, and operations teams.

Lead end-to-end data annotation operations for robotics data: recruit and manage annotators and team leads, monitor quality and throughput, build dashboards and operating systems, forecast staffing, design incentives, remove bottlenecks, and scale processes from hundreds to thousands of annotators.

As a Founding Operations Manager, you'll oversee field operations globally, manage deployment partnerships, lead field teams, and ensure reliable data collection under real-world conditions.

As a Firmware Engineer, you will develop and manage the embedded software for wearable capture hardware, focusing on sensor integration, real-time data processing, and connectivity. Your responsibilities will involve firmware architecture, system state management, and collaborating with electrical engineers to ensure hardware and software compatibility.

Lead operations for hardware supply chain in Shenzhen, managing ODM relationships, component sourcing, factory operations, and compliance for product development.

Lead hardware engineering for multimodal wearable systems. Manage integration across power systems and sensors, debug failures, and prototype wearable hardware used in global operations.

As an Infrastructure Engineer, you will build and optimize storage and offloading infrastructure for multimodal robotics data, focusing on data movement, AWS optimization, and reliability across global operations.

The Research Engineer will focus on multimodal sensing systems and sensor fusion for embodied AI and robotics, evaluating sensor modalities and collaborating with hardware and ML teams to enhance robotic learning and performance.

As a Machine Learning Engineer, you will manage multimodal perception, work on data collection, and evaluate robotics tasks, directly impacting model capabilities and the evolution of physical labor.