Aerospace Engineer (Unpaid Internship)

About the job: Company Description Omokai is building natural language interfaces that allow anyone, including non-technical users, to communicate with drones, robots, and autonomous machines across environments such as shop floors, security inspections, and defense operations. Omokai is founded by Ex-head of AI @ Amazon. Our sovereign architecture enables organizations in highly regulated industries to adopt AI with confidence. Omokai’s proprietary, model-agnostic orchestration layer supports TTS, STT, LLM, and vision models from Omokai, open-source, or third-party providers. We are also building our own models. Our platforms are designed with military-grade security principles and are aligned with global AI regulations, including the EU AI Act and emerging frameworks in the Middle East and India. Important Notes: Sallary: Unpaid internship. Primarily for study related topicsLocation: Primarily remote but for hardware work may need to travel. Role Description: Build AI systems that allow drones to understand and execute natural language commandsWork with ROS 2, MAVLink, PX4, ArduPilot, Gazebo, and other robotics/autonomy toolsIntegrate Omokai’s orchestration layer with drones, sensors, edge devices, and cloud systemsDevelop software components for perception, intent detection, planning, telemetry, and controlConnect LLMs, vision models, speech models, and robotics frameworks into real-world workflowsTest robotic behaviors in simulation before deploying to physical systemsWork with embedded hardware, onboard compute, sensors, cameras, GPS, IMUs, and communication modulesOptimize AI and drone components for latency, robustness, and reliabilityBuild demos and prototypes for drones, mobile robots, autonomous machines, and multi-robot workflowsCollaborate with product, AI, and engineering teams on system design, safety, and deployment requirementsHelp design AI-in-the-loop approval flows for mission-critical robotics operations You should have: Strong foundation in Computer Science and Software Development, including data structures, algorithmsStrong programming skills in Python and/or C++Good to have experience with ROS or ROS 2Hands-on experience with MAVLink, PX4, ArduPilot, QGroundControl, or drone-control systemsExperience with neural networks, pattern recognition, and deep learning models for perception, control, or decision-makingFamiliarity with simulation tools such as Gazebo, Isaac Sim, RViz, or similar environmentsAbility to integrate AI models with hardware, sensors, embedded boards, or edge devicesUnderstanding of physical AI and how AI systems interact with the real world Hardware experience includes: NVIDIA Jetson, Raspberry Pi, Arduino, ESP32, STM32, or similar platformsCameras, LiDAR, depth sensors, GPS, IMU, motor controllers, and communication modulesEdge AI deployment on embedded or resource-constrained devicesRobot or drone assembly, wiring, debugging, and field testingBasic electronics, soldering, sensor integration, or PCB bring-upSerial, UART, CAN, I2C, SPI, Ethernet, Wi-Fi, or radio communicationYou do not need to be an expert in every area, but you should be comfortable building, testing, breaking, debugging, and improving real-world robotic systems. Nice to have: Experience with multi-drone coordination, drone swarms, or autonomous mission planningExperience with computer vision, SLAM, object detection, tracking, or navigationExperience with cloud platforms and secure edge-to-cloud deploymentsExperience working in regulated or mission-critical domains such as industrial automation, defense, aerospace, inspection, or securityExperience with speech AI, LLMs, AI agents, or multimodal AI systemsExperience deploying robotics systems outside the labExperience designing safe, auditable, human-in-the-loop AI systems