Industrial Robotics Specialist

We are seeking a Robotics Autonomy & Perception Lead to lead the design and deployment of our Agentic AI Drone System — an autonomous indoor drone that patrols living spaces, monitors household inventory, and triggers restocking via PlatformDTC’s AI commerce engine. You will own the end-to-end architecture: from PX4 flight control, indoor navigation, perception (CV + RFID), and decision logic, to safety, docking, and operational reliability. Key

Responsibilities:

Lead technical architecture: PX4/ArduPilot flight control, MAVLink/MAVROS, ROS 2 (Humble/Iron), Nav2, and UWB/VIO/SLAM localization.

Build real-time perception pipeline: YOLOv8/YOLOv10 detection, GroundingDINO (open-vocab), SAM segmentation, and RFID/RAIN integration for inventory accuracy.

Design the Inventory Brain: compare actual vs. target stock levels, forecast consumption, and trigger purchase through PlatformDTC API or bot connector.

Integrate with Home Assistant for presence detection, scheduling, and smart-home event triggers.

Develop indoor navigation and mapping (ORB-SLAM3, VINS-Fusion, rtabmap) for 3D environment understanding.

Oversee hardware selection: Jetson Orin Nano/Xavier NX, RealSense D435, ToF/LiDAR, UWB anchors, load-cell sensors, and safety-guarded frames.

Design and optimize autonomous docking using AprilTag alignment and contact charging.

Build safety, testing, and mission-log frameworks (HIL/SIL simulation, telemetry logging, blackbox review).

Manage a multidisciplinary team (robotics, ML/CV, embedded, backend).

Define KPIs and execute the 30/60/90-day roadmap toward a working V1 prototype.

6–10 years of experience in robotics or autonomous systems, including 3+ years in team lead or technical lead role.

Deep understanding of PX4/ArduPilot firmware, MAVLink protocol, and ROS 2 ecosystem (Nav2, microRTPS).

Hands-on experience with VIO/SLAM (ORB-SLAM 2/3, VINS-Fusion, rtabmap) and sensor fusion (EKF/UKF).

Strong knowledge in computer vision and edge AI: YOLO, GroundingDINO, SAM, TensorRT optimization on Jetson.

Proven experience with indoor localization (UWB, AprilTag/ArUco, depth camera, ToF/LiDAR).

Strong focus on flight safety, QA, and mission reliability.

Excellent system architecture, documentation, and communication skills.

Fluent in English (technical communication and documentation). Plus Points:

Experience with RFID/RAIN, load-cell weight sensing, or Home Assistant integrations.

Familiar with eCommerce or API-driven automation systems.

Knowledge of CI/CD for robotics, Docker, Prometheus/Grafana telemetry.

Prior work in consumer robotics or safety-critical indoor autonomy projects. What You Get:

Competitive salary + ESOP options based on performance and project milestones.

Annual bonus & salary review.

Work directly with founder & AI leadership team on cutting-edge robotics projects.

Freedom to prototype and select hardware/software stack for V1.

Full

Perform Bonus

Health Insurance