Position: Founding Robotics & UAV Integration Engineer

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Experience: 2–5 years

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Location: Porto or Braga. Hybrid

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Role Overview

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At Laika Ventures, we don’t just invest in ideas—we build and launch them. As a venture studio focused on AI-driven startups, we partner with ambitious entrepreneurs to launch and scale businesses with a hands-on approach.

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Now, we are looking for a Founding Robotics & UAV Integration Engineer to work with us.

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Lead the end-to-end integration of Unitree Go2 Pro robots and UAVs into a unified surveillance platform. You’ll architect and implement software and hardware solutions for motion detection, object recognition, and real-time data fusion across heterogeneous robotic systems.

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Key Responsibilities

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• Define system architecture and requirements for multi-robot coordination and surveillance.

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• Develop and maintain C++ applications using Unitree SDK 2 on Ubuntu (20.04/22.04) with CMake .

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• Integrate Unitree Go2 Pro into ROS 2, writing both C++ and Python nodes for sensor and control pipelines .

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• Design, implement, and optimize computer-vision algorithms for motion detection, object recognition, and tracking in real time

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• Interface with UAV systems (avionics, sensors, flight controllers) to enable synchronized ground-air operations.

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• Build CI/CD pipelines, deploy edge-computing modules, and ensure system robustness in field conditions.

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• Collaborate with cross-functional teams (electronics, data science, operations) to refine performance and user experience.

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Qualifications we are looking

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• Bachelor’s degree (or higher) in Robotics, Computer Science, Electrical/Mechanical Engineering, or a related field.

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• 2–5 years of professional experience in robotics or UAV systems integration

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• Proficiency in C++ (99% of Unitree SDK) and strong command of Linux development (Ubuntu).

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• Experience with ROS 2 (C++ and Python), including middleware (DDS) and message design.

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• Hands-on UAV integration skills: understanding of PX4/MAVROS, sensor fusion, and avionics subsystems.

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• Solid background in computer vision (OpenCV, TensorFlow or PyTorch) for detection, recognition, and tracking tasks.

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• Familiarity with CMake, Git, and Agile development practices.

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Preferred Skills

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• Master’s degree in a relevant discipline.

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• Edge-computing and IoT deployment (AWS IoT Greengrass, NVIDIA Jetson).

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• Experience with SLAM, path planning, or multi-robot coordination.

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• Knowledge of cybersecurity best practices for robotic networks.

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• Prior work in safety-critical or regulated environments.

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What We Offer

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• Salary + perks + equity

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Ready to build the future of AI?

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