Founding Robotics & Autonomous Delivery Systems Engineer

Intrologics is pioneering the future of local commerce through Groser, a platform connecting customers with nearby grocery retailers and service providers. The company is developing an autonomous drone delivery system integrated with Groser to transport groceries and eligible goods from suppliers to customers with minimal human intervention. We are seeking a highly skilled Robotics & Autonomous Delivery Systems Engineer to lead the design, prototyping, integration, and validation of this innovative technology, transforming a bold concept into a commercially viable product.

Key Responsibilities
- Design or integrate an autonomous unmanned aerial vehicle (UAV) capable of completing delivery missions, including flight controllers, navigation, propulsion, batteries, payload capacity, and flight endurance.
- Implement autonomous flight features such as waypoint navigation, obstacle detection and avoidance, geofencing, return-to-home, and emergency protocols.
- Develop a secure, electronically controlled cargo compartment with QR-based verification for supplier handover and customer collection, including controlled cargo release and payload placement mechanisms.
- Create an intelligent docking station concept to support automated landing, charging or battery exchange, system diagnostics, mission preparation, and secure storage, with scalability for multi-drone operations.
- Integrate the drone control system with Groser’s order lifecycle via secure APIs, managing mission assignment, routing, status updates, delivery verification, exception handling, and return-to-base workflows.
- Explore blockchain wallet integration for payments, supplier settlements, and tipping, ensuring secure transaction authorization and reliable payment workflows under network disruptions.
- Develop simulations and prototypes to establish performance targets, telemetry, fault detection, audit logging, and safe recovery procedures while addressing aviation, privacy, cybersecurity, and operational compliance before live trials.

Required Qualifications
- Strong expertise in robotics and autonomous systems, including navigation, control systems, and sensor integration, with experience developing or integrating UAVs or similar cyber-physical systems.
- Proficiency in embedded systems and hardware integration, including C/C++ and/or Python programming, microcontrollers, embedded Linux, sensors, actuators, communication interfaces, and hardware debugging.
- Practical knowledge of UAV flight systems and navigation, familiarity with flight controllers like PX4 or ArduPilot, GPS/GNSS navigation, telemetry, mission planning, and flight safety.
- Experience in software architecture and system integration, including REST API design, event-driven workflows, asynchronous processing, and device-to-cloud communication.
- Strong analytical and problem-solving skills, with the ability to document architecture, interfaces, testing procedures, and technical decisions, and a prototype-first mindset balancing cost, safety, performance, and scalability.

Preferred Qualifications and Benefits
- Experience with ROS 2 middleware, computer vision (OpenCV, visual navigation, QR/barcode recognition), autonomous navigation technologies (LiDAR, SLAM, sensor fusion), and smart cargo engineering (electronic locks, actuators, load sensors).
- Knowledge of docking and charging systems, cloud and IoT protocols (MQTT, telemetry pipelines), backend development (TypeScript/Node.js, Python, PostgreSQL), and mobile/web integration.
- Familiarity with blockchain and Web3 technologies, UAV safety and compliance, and product development skills such as CAD, 3D printing, and rapid prototyping.
- Opportunity to shape a groundbreaking autonomous delivery product from inception, with direct involvement in architecture, prototyping, and experimentation linked to an active commerce platform.
- Potential for growth alongside the product and engineering team, with employment terms, compensation, and leadership roles tailored to experience and scope.

Candidates with degrees in Robotics, Mechatronics, Electrical Engineering, Aerospace, Computer Engineering, or Computer Science are encouraged to apply, though demonstrated practical experience and engineering ability are paramount. The initial goal is to deliver a credible development roadmap and proof of concept, progressing through feasibility, prototype demonstration, integrated delivery workflows, docking automation, and pilot readiness.

If you are passionate about solving complex engineering challenges across robotics, embedded systems, and UAV technologies, this role offers a unique chance to lead innovation in autonomous local commerce delivery.