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Mbodi AI (YC P25) Is Hiring

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Why This Matters

Mbodi AI is pioneering embodied AI robotics that enable robots to learn and adapt skills through natural communication, making automation more accessible and flexible. Its focus on reliable, real-world system integration and control design positions it at the forefront of next-generation robotics, impacting industries seeking smarter, more adaptable automation solutions.

Key Takeaways

About Mbodi

Join Mbodi AI (YC X25), an AI robotics startup founded by two former Googlers committed to pushing the boundaries of physical intelligence. Mbodi is an embodied AI platform that makes robots learn and operate like humans. Anyone can teach robots new skills by talking to them — and execute those skills reliably in production within minutes.

We are pioneering the next wave of robotics, where AI agents meet physical world applications. Backed by top investors and working with global industrial partners, such as ABB, we’re redefining what’s possible in robotics and automation.

Role Overview

We’re looking for a Senior Robotics Engineer (Systems & Controls) to join our core team.

You will design and tune the systems that make robot behavior reliable under real-world constraints, turning task intent into stable, precise, production-grade motion on real hardware. This includes controller design, dynamics and system-response analysis, industrial hardware integration, and deployment through commissioning.

This is a hands-on role for someone equally comfortable with control design, motion behavior, hardware integration, and debugging across the full stack.

What You’ll Do

Design and Tune Control Architectures: Design and tune controllers for robot motion using PID, feedforward, state-space methods, LQR, and MPC.

Design and tune controllers for robot motion using PID, feedforward, state-space methods, LQR, and MPC. First-Principles Modeling: Model system dynamics with block diagrams, transfer functions, and state-space methods; analyze stability, overshoot, settling time, damping, tracking error, and robustness.

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