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Lead ambiguous, 0-to-1 operational initiatives for the Data team: define processes, build tooling and SOPs, diagnose and fix friction, align cross-functional stakeholders, analyze operational data, and run day-to-day functions until handoff.

As a Software Engineer, you will develop core software systems for home robots, focusing on performance, reliability, and diagnostics tools.

Support ML evaluation operations by building analytics and reporting, coordinating logistics and physical test environments, sourcing and standardizing props/equipment, scouting spaces, and creating documentation and processes to ensure high-quality, actionable eval data for the ML team.

As a SLAM Engineer, you will develop systems for safe navigation of home robots, integrating data from various sensors and collaborating with engineers on motion planning and perception.

Own end-to-end product logistics for beta deployments: build physical data and demo environments, ship and service robots, manage vendors and budgets, and coordinate cross-functional hardware, product, and ML teams to scale operations.

The Embedded Linux Software Engineer will own the embedded software stack, collaborate with teams to integrate robotics systems, and manage software development for compute platforms.

Build and maintain ML infrastructure for robot manipulation, including data pipelines, training systems, and real-time inference, collaborating with researchers.

Develop and own firmware across wearable and robotic platforms, design and implement motor control for brushed and brushless actuators, perform firmware bring-up, collaborate with mechanical, electrical, and ML teams, and validate hardware using debug, CI/CD, and HIL testing.