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.
• 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.
• Motion Execution & OEM Interfacing: Build motion execution around industrial OEM controllers, accounting for latency, calibration error, joint limits, motion constraints, and fault handling.
• Lead System Integration: Integrate our platform with real-world industrial robotic systems across sensors, network interfaces, safety I/O, and hardware.
• Deploy and Commission: Own bring-up, validation, commissioning, and on-site issue resolution in production environments.
• Full-Stack Debugging: Debug failures across controls, software, networking, calibration, and hardware.

What We’re Looking For

• Applied Control Theory: Deep expertise in classical and modern control theory (Laplace transforms, frequency-domain analysis, LQR, MPC) with a proven track record of deploying these algorithms on physical hardware, not just in simulation.
• Strong Systems Intuition: A deep understanding of closed-loop system behavior, including stability, overshoot, tracking error, and robustness in messy physical environments.
• Hardware & Commissioning Experience: Hands-on experience integrating, tuning, and commissioning industrial robot hardware (ABB, Fanuc, KUKA, UR) in real-world or production settings.
• Software Engineering: 4+ years of experience in robotics software. Strong C++/Python skills, especially at the boundary between high-level task planning services and deterministic robot execution.
• Startup DNA: High agency, strong bias toward action, and the ability to thrive in a fast-paced, execution-focused environment.

Preferred Qualifications

• RAPID Proficiency: Deep experience programming and interfacing with ABB controllers via RAPID.
• ROS2 Proficiency: Strong experience building production-grade robotics pipelines in ROS2.
• Advanced Degree: PhD or equivalent experience in Robotics, Controls, Mechanical Engineering, Electrical Engineering, or a closely related field.

Compensation Salary: $100K – $250K

Equity: 0.50% – 2.00%