Website:
omokai.com
Job details:
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:
- Depending on your skill this can be a Junior or mid-level or UAV engineer role.
- Sallary: Equity Based with stipend and accomodation. You get Equity based on your expertise.
- Knowledge: You need to have a good balance of Academic and practical Knowledge. Both with hardware and software knowledge is required for this role.
Role Description:
- Build AI systems that allow drones to understand and execute natural language commands
- Work with ROS 2, MAVLink, PX4, ArduPilot, Gazebo, and other robotics/autonomy tools
- Integrate Omokai’s orchestration layer with drones, sensors, edge devices, and cloud systems
- Develop software components for perception, intent detection, planning, telemetry, and control
- Connect LLMs, vision models, speech models, and robotics frameworks into real-world workflows
- Test robotic behaviors in simulation before deploying to physical systems
- Work with embedded hardware, onboard compute, sensors, cameras, GPS, IMUs, and communication modules
- Optimize AI and drone components for latency, robustness, and reliability
- Build demos and prototypes for drones, mobile robots, autonomous machines, and multi-robot workflows
- Collaborate with product, AI, and engineering teams on system design, safety, and deployment requirements
- Help 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, algorithms, and production-grade coding
- Strong programming skills in Python and/or C++
- Good to have experience with ROS or ROS 2
- Hands-on experience with MAVLink, PX4, ArduPilot, QGroundControl, or drone-control systems
- Practical experience with robotics projects involving drones, robots, autonomous machines, mobile robots, or embedded systems
- Experience with neural networks, pattern recognition, and deep learning models for perception, control, or decision-making
- Practical experience with NLP, especially intent detection, dialogue systems, or language understanding for command-and-control interfaces
- Familiarity with simulation tools such as Gazebo, Isaac Sim, RViz, or similar environments
- Ability to integrate AI models with hardware, sensors, embedded boards, or edge devices
- Understanding of physical AI and how AI systems interact with the real world
- Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, AI, or a related field, or equivalent practical experience
- Strong communication skills and comfort working in a remote, fast-paced startup environment
Hardware & embedded experience:
You should be comfortable working close to physical systems.
Relevant experiences includes:
- NVIDIA Jetson, Raspberry Pi, Arduino, ESP32, STM32, or similar platforms
- Cameras, LiDAR, depth sensors, GPS, IMU, motor controllers, and communication modules
- Edge AI deployment on embedded or resource-constrained devices
- Robot or drone assembly, wiring, debugging, and field testing
- Basic electronics, soldering, sensor integration, or PCB bring-up
- Serial, UART, CAN, I2C, SPI, Ethernet, Wi-Fi, or radio communication
You 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 planning
- Experience with computer vision, SLAM, object detection, tracking, or navigation
- Experience with cloud platforms and secure edge-to-cloud deployments
- Experience working in regulated or mission-critical domains such as industrial automation, defense, aerospace, inspection, or security
- Experience with speech AI, LLMs, AI agents, or multimodal AI systems
- Experience deploying robotics systems outside the lab
- Experience designing safe, auditable, human-in-the-loop AI systems
Click on Apply to know more.