Founding Robotics & Autonomous Delivery Systems Engineer

Product: Groser Autonomous Delivery

Company: Intrologics

Product website: https://groser.online

Careers platform: https://walaya.intrologics.com

About Intrologics and Groser

Intrologics builds intelligent software products designed to solve real-world operational problems. Groser is its local commerce and services platform, connecting customers with nearby grocery retailers, shops, service providers, and delivery resources.

We are exploring the next frontier of local commerce:

an autonomous drone delivery system integrated directly with Groser

, designed to transport groceries and eligible goods from suppliers to customers with minimal human intervention.

We are looking for an exceptional engineering professional to help turn this ambitious concept into a working, testable, and commercially viable product.

The Mission

Imagine a customer placing a grocery or eligible service-related order through Groser. An autonomous drone receives the confirmed delivery task, identifies the supplier and customer locations, travels to the supplier, verifies the order, securely collects the goods, and transports them to the customer.

At the destination, the drone verifies the customer's identity, positions the payload for collection, confirms delivery, and returns to its designated docking station.

Your mission will be to help architect, prototype, integrate, and validate the technology required to make this vision possible.

What You Will Build1. Autonomous Drone Platform

• Design or integrate an unmanned aerial vehicle (UAV) capable of autonomous delivery missions.
• Evaluate flight controllers, navigation systems, propulsion, batteries, payload capacity, and flight endurance.
• Implement waypoint navigation, obstacle detection and avoidance, geofencing, return-to-home behavior, and emergency procedures.

2. Secure Smart Cargo System

• Develop a secure, electronically controlled cargo compartment for transporting customer orders.
• Implement QR-based verification and authorization workflows for supplier handover and customer collection.
• Design a controlled cargo-release mechanism that prevents unauthorized access.
• Explore a precise payload-placement or transfer mechanism that can safely place the delivery at the designated customer collection point.
• Integrate cargo sensors, door locks, load detection, and delivery confirmation.

3. Intelligent Docking Infrastructure

• Develop the concept for a smart docking station serving as a drone's operational base.
• Explore automated landing, charging or battery exchange, system diagnostics, mission preparation, and secure storage.
• Design docking workflows that support future multi-drone and multi-location operations.

4. Groser Platform Integration

• Integrate the drone control system with Groser's order lifecycle through secure APIs and event-driven communication.
• Process confirmed orders and retrieve authorized supplier and delivery information.
• Develop mission assignment, routing, status updates, delivery verification, exception handling, and return-to-base workflows.
• Build reliable communication between the drone, docking station, backend services, and Groser application.

5. Blockchain-Based Payments and Tipping

• Explore blockchain wallet integration for customer payments, supplier settlement, and optional post-delivery tipping.
• Evaluate secure transaction authorization, wallet management, transaction records, and payment reconciliation.
• Design payment workflows that remain reliable under network interruptions and operational failures.

6. Testing, Safety and Commercial Readiness

• Develop simulations and controlled prototypes before live delivery trials.
• Establish measurable performance targets for payload capacity, range, endurance, delivery accuracy, turnaround time, and system reliability.
• Implement telemetry, fault detection, audit logs, and safe recovery procedures.
• Investigate applicable aviation, privacy, cybersecurity, and operational requirements before conducting outdoor flight tests or commercial deliveries.

Must-Have Skills

Candidates should demonstrate strong practical capability in several of the following core areas, with the first three particularly important:

1. Robotics and autonomous systems

• Strong understanding of robotics, autonomous navigation, control systems, and sensor integration.
• Experience developing or integrating autonomous robotic systems, UAVs, or comparable cyber-physical systems.
• Ability to translate a conceptual product into an implementable system architecture.

2. Embedded systems and hardware integration

• Proficiency in C/C++ and/or Python for robotics and embedded applications.
• Experience working with microcontrollers, embedded Linux, sensors, actuators, communication interfaces, and hardware debugging.
• Understanding of power management, battery systems, motor control, and electromechanical integration.

3. UAV flight systems and navigation

• Practical familiarity with flight controllers and autopilot ecosystems such as PX4 or ArduPilot.
• Understanding of GPS/GNSS navigation, telemetry, mission planning, waypoint navigation, and flight safety.
• Experience with UAV simulation, hardware-in-the-loop testing, or real-world drone integration.

4. Software architecture and system integration

• Ability to integrate hardware, firmware, backend services, and external APIs into a reliable end-to-end system.
• Experience designing REST APIs, event-driven workflows, asynchronous processing, and device-to-cloud communication.
• Competence in debugging distributed systems and handling communication failures.

5. Engineering discipline

• Strong analytical and problem-solving skills.
• Ability to document architecture, interfaces, testing procedures, and technical decisions.
• A prototype-first mindset, with the ability to evaluate trade-offs involving cost, safety, performance, and scalability.

Nice-to-Have Skills

Experience in any of these areas will be a significant advantage:

• ROS 2: Robotic middleware, nodes, topics, services, and system orchestration.
• Computer vision: OpenCV, visual navigation, object detection, QR/barcode recognition, and landing-zone identification.
• Autonomous navigation: LiDAR, depth cameras, sensor fusion, SLAM, obstacle avoidance, and precision landing.
• Smart cargo engineering: Electronic locks, servo/linear actuators, load cells, weight sensors, and automated payload handling.
• Docking and charging systems: Precision landing, charging docks, battery management systems, and automated battery exchange.
• Cloud and IoT: MQTT, device provisioning, telemetry pipelines, fleet monitoring, and secure device management.
• Backend development: TypeScript/Node.js, Python, PostgreSQL, Supabase, cloud deployment, and API integration.
• Mobile and web integration: Integrating robotics systems with customer-facing applications and operational dashboards.
• Blockchain and Web3: Smart contracts, wallet integration, transaction signing, and blockchain-based settlement.
• Safety and compliance: UAV risk assessment, geofencing, fail-safe design, flight-test procedures, and aviation compliance.
• Product development: CAD, 3D printing, rapid prototyping, mechanical design, and hardware manufacturing.

Who Should Apply?

We are interested in engineers who enjoy solving difficult problems that cross traditional engineering boundaries.

You may be:

• A robotics engineer ready to build a real-world autonomous product.
• A UAV engineer interested in moving beyond conventional drone applications.
• An embedded systems engineer with strong robotics and integration capabilities.
• A mechatronics engineer who can combine mechanical design, electronics, firmware, and software.
• A technical founder or experienced prototyper who has taken complex systems from concept to working demonstration.

A relevant degree in Robotics, Mechatronics, Electrical Engineering, Computer Engineering, Aerospace Engineering, or Computer Science is beneficial. Demonstrable engineering ability and practical project experience matter more than degree title alone.

What Success Looks Like

Your initial objective will be to produce a technically credible development roadmap and a working proof of concept.

Expected milestones include:

1. Feasibility and architecture: Define the system architecture, major technical risks, component choices, estimated costs, and development phases.
2. Controlled prototype: Demonstrate autonomous navigation in a suitable test environment, secure cargo access, and QR-based handover.
3. Integrated delivery workflow: Demonstrate the end-to-end interaction between Groser orders, supplier verification, drone mission execution, customer verification, and delivery confirmation.
4. Docking and operational automation: Prototype docking, charging or battery management, return-to-base, and mission readiness.
5. Pilot readiness: Establish safety procedures, performance benchmarks, compliance requirements, and a plan for controlled field trials.

The exact sequence will depend on the feasibility assessment and the capabilities of the selected candidate.

What We Offer

• An opportunity to help establish a new autonomous delivery product from its earliest engineering stages.
• Direct involvement in product architecture, technical decisions, prototyping, and experimentation.
• A product vision connected to an existing commerce platform rather than an isolated laboratory project.
• A chance to grow with the product as the engineering team and delivery infrastructure develop.

Employment terms, compensation, resources, and the possibility of a founding technical leadership position will be discussed according to the candidate's experience and the agreed scope of responsibility.

How to Apply

Apply through Walaya: https://walaya.intrologics.com

Please include:

• Your CV or professional profile.
• Links to relevant robotics, UAV, embedded systems, or autonomous technology projects.
• A brief description of the most technically challenging system you have personally built or integrated.
• The tools, platforms, and hardware you have used hands-on.