Robotics Engineer, Staff
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Requirements
- 6+ years of professional experience in production controls engineering within motion systems, robotics, aerospace, or comparable real-time domains.
- Strong command of modern control theory, including state-space methods, observers, and model-predictive control.
- Proficiency in Rust, C, or C++ for real-time code, and Python for analysis and tooling.
- Demonstrated track record of bringing a complex physical system to production-grade performance.
- U.S. citizenship and ability to pass a background check.
- Experience with gimbal, turret, or pointing-system design.
- System identification and model-based control experience.
- Hands-on experience with motor drivers, CAN bus, and RTOS targets.
- Experience with ROS 2 or DDS middleware in production.
- Active security clearance, or eligibility to obtain one.
- Prior defense startup experience
- Passion for building robots or engineering projects as a hobby
Benefits
Additional Information
Location: Onsite - Austin, TX Employment Type: Full‑Time Job Title: Lead Robotics Engineer Company Overview 9 Mothers Defense develops AI-enabled systems to counter unmanned aerial threats. Our first product, EDDA, is an autonomous counter-sUAS point-defense platform designed to detect, track, and neutralize Group 1 drone threats. The company is headquartered in Austin, Texas. Position Summary 9 Mothers is seeking a Robotics Lead to own the control systems and motion engineering for our counter-sUAS platform. The Robotics Lead is responsible for the design, implementation, and tuning of the high-bandwidth control loops and state estimation that enable EDDA to track and engage small, fast-moving aerial targets with precision. This is a senior individual contributor position focused on control theory. Essential Duties Design, implement, and tune the control stack for EDDA's motion system, including actuators and gimbaled subsystems. Develop and maintain high-bandwidth control loops, including PID, feedforward, and model-predictive control as appropriate to the application. Develop and maintain state estimation pipelines that fuse inertial measurement unit data, encoder feedback, and perception output into a consistent target track. Characterize and model mechanical nonlinearities - including backlash, cogging, stiction, inertia, and structural modes - and develop compensation strategies. Build calibration, logging, and replay tools to support field performance analysis. Continuously improve slew rate, settling time, and pointing accuracy as the hardware platform evolves.
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