About the Role: We are looking for a driven and capable AI Planning Engineering Intern to help us build intelligent planning and control capabilities for autonomous drones. You’ll work directly with our engineering team to design and test real-time decision-making systems integrated with the SKEYEBOTS Autopilot and visualized via Qt-based user interfaces. This is a hands-on role involving real-world challenges in autonomy, robotics, and mission planning, with opportunities to contribute to meaningful field applications in defense, disaster response, or precision agriculture. What You’ll Do: • Implement and test planning algorithms (e.g., A*, RRT, finite state machines, behavior trees) in C++. • Integrate planning modules with SkeyeBots flight control using uORB/MAVLink. • Develop or extend Qt-based desktop interfaces for mission planning and visualization. • Run SITL (Software-in-the-Loop) simulations to test autonomous behaviors. • Contribute to performance profiling, system debugging, and test automation. Minimum Qualifications: • Strong C++ programming experience (C++11 or later). • Familiarity with common planning or search algorithms. • Experience with Qt for GUI development or willingness to learn quickly. • Basic understanding of SkeyeBots or any other robotics middleware (e.g., ROS). • Ability to work independently and collaboratively in a fast-paced environment. Preferred Qualifications: • Prior experience working with the SkeyeBots Autopilot (flight stack, module dev, SITL). • Exposure to MAVLink protocol or DDS-based systems. • Familiarity with GIS tools or geospatial libraries (e.g., PROJ, GEOS, GDAL). • Projects involving drones, autonomy, or robotics. What You’ll Gain: • Ability to collaborate and learn from Industry Experts and Subject Matter Experts based in Silicon Valley (USA), and India. • Competitive pay and other benefits. • Experience building real-world autonomous systems with industry tools. • Mentorship from engineers working on cutting-edge drone platforms. • Opportunity to transition to a full-time role based on performance. • Contribution to field-deployable technologies with high societal impact.
About the Role Join SKEYEBOTS as a Computer Vision Engineering Intern, developing and optimizing vision-based perception modules for autonomous drones. Work on real-time object detection, classification, and tracking algorithms tailored for complex environments, supporting applications in defense, disaster response, agriculture, and more. Responsibilities • Develop and implement computer vision algorithms for object detection, classification, and tracking. • Manage and preprocess custom datasets including annotation and augmentation. • Train and fine-tune deep learning models such as YOLO, SSD, DeepSORT, and Transformer-based detectors. • Integrate vision algorithms with PX4 flight stack or other robotics middleware. • Optimize models for real-time inference on embedded or edge computing platforms. • Assist with dataset collection and validation during field testing. • Help build visualization tools using Qt or other frameworks. Minimum Qualifications • Strong programming skills in Python and C++. • Experience with computer vision libraries such as OpenCV, TensorFlow, PyTorch, or similar. • Understanding of object detection and tracking algorithms. • Familiarity with dataset annotation tools and practices. • Ability to work independently and collaboratively in a team environment. • Interest in robotics, drones, and embedded vision systems. Preferred Qualifications • Experience with PX4 or robotics middleware integration. • Knowledge of deep learning architectures and training workflows. • Exposure to embedded or edge computing platforms such as NVIDIA Jetson or Raspberry Pi. • Familiarity with ROS or other middleware systems. • Prior experience working with custom vision datasets. What You’ll Gain • Opportunity to work and collaborate with Industry and subject matter experts based in Silicon Valley, United States, and India. • Competitive pay and other benefits. • Real-world experience developing computer vision algorithms for autonomous systems. • Mentorship from engineers working on cutting-edge drone and robotics technology. • Opportunity to transition to a full-time role based on performance. • Involvement in impactful projects with applications in safety, agriculture, and defense.
About the Role: Join SKEYEBOTS as a Hardware Engineering Intern to design and develop robust hardware for autonomous drone systems. You’ll collaborate with our core engineering team on electronics and robotics projects, contributing to innovative applications in defense, disaster response, and logistics. This hands-on role offers significant ownership in a fast-growing startup environment. What You’ll Do: • Design electronics for drone systems, including microcontroller/microprocessor-based solutions. • Program firmware using Embedded C, Embedded systems, Arduino, or Raspberry Pi platforms. • Create schematics, PCB layouts, and routing using tools like KiCad or Altium. • Conduct 3D modeling (SolidWorks/CATIA/Autodesk) and CFD simulations for optimization. • Prototype hardware with 3D printing and ensure Design for Manufacturability (DFM). • Support hardware integration, testing for environmental ratings (e.g., IP65), and performance in challenging conditions (e.g., high winds). • Assist in debugging, profiling, and system validation. Minimum Qualifications: • Strong electronics engineering fundamentals and robotics hardware experience. • Proficiency in Embedded C, microcontroller/microprocessor design, and PCB layout. • Familiarity with hobby electronics and embedded systems. • Basic 3D design skills (e.g., SolidWorks). • Ability to work independently in a fast-paced environment. • Ability to work onsite (hybrid work culture). Preferred Qualifications: • Experience with drone design/development, ideally with DGCA Remote Pilot Training (RPT) certification. • Knowledge of CFD simulation for aerodynamic analysis. • Past projects involving 3D printing, DFM, or field testing. • Exposure to high-altitude systems or ruggedized hardware. What You’ll Gain: • Work with Silicon Valley and India-based industry experts on cutting-edge drone tech. • Competitive pay and other benefits. • Hands-on experience in hardware for real-world applications. • Mentorship from early-stage engineering leaders. • Opportunity for full-time transition based on performance. • Contribute to impactful projects with applications in safety and efficiency. Join us to build the future of autonomous systems!