About 1X
We’re an AI and robotics company based in Palo Alto, California, on a mission to build a truly abundant society through general-purpose robots capable of performing any kind of work autonomously.
We believe that to truly understand the world and grow in intelligence, humanoid robots must live and learn alongside us. That’s why we’re focused on developing friendly home robots designed to integrate seamlessly into everyday life.
We’re looking for curious, driven, and passionate people who want to help shape the future of robotics and AI. If this mission excites you, we’d be thrilled to hear from you and explore how you might contribute to our journey.
Role Overview
You will develop real-time battery estimation, control, and optimization algorithms that directly impact robot autonomy, uptime, safety, and user experience. This role sits at the intersection of robotics, embedded systems, control theory, and electrochemistry.
Responsibilities
Develop and deploy real-time battery state estimation algorithms for robotic platforms, including SoC, SoH, SoP, and remaining runtime under dynamic loads.
Design robust observers and filters (EKF/UKF/Particle Filters) that operate reliably under highly transient robotic duty cycles.
Build physics-based, data-driven, or hybrid battery models tailored to robotics use cases (high C-rates, intermittent loads, regenerative events).
Develop degradation-aware charging and power-limiting strategies to maximize battery lifetime while preserving robot performance.
Collaborate closely with robotics controls, autonomy, hardware, and firmware teams to integrate algorithms into the robot BMS and runtime stack.
Define safety margins, diagnostics, and fallback strategies for battery-related failures.
Analyze fleet data to continuously improve estimation accuracy, robustness, and safety.
Contribute to system-level energy management strategies across perception, control, and actuation.
