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 senior robotics 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 Robotics Engineering Knowledge. Both with hardware and software knowledge is required for this role.

Tech: Looking for robotics but an UAV expert is also appreciated. Role Description:

Build AI systems that allow robots and 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 robots, 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 robotics 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 What we are looking for:

We are looking for someone who has built real robotics systems, not just theoretical projects. 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++

Hands-on experience with ROS or ROS 2

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-robot 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 secure, auditable, human-in-the-loop AI systems

📌 Founding Robotics/UAV Engineer (Equity Based Compensation) (Bengaluru)
🏢 Omokai
📍 Bengaluru