Founding Robotics AI Engineer (Equity Based Compensation)

Company Description

Omokai is a German Company building intelligence layer to orchestrate autonomous missions across mixed fleet of robots, drones, UAVs, UGVs, USVs and sensors. Our intelligence layer uses natural language interfaces that allow anyone to communicate with fleets like they communicate with other humans. Our primary customers are security industry and militaries.

Omokai is founded by Ex-head of AI @ Amazon. 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.
• This job will be under our Indian legal entity but all work is done for German Legal entity.

Role Description:

• Build AI systems that allow robots and drones to understand and execute natural language commands
• Work with ROS 2, Isaac SIM, Gazebo, and other robotics/autonomy tools
• Integrate Omokais 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.
• Practical experience with robotics projects involving robots, autonomous machines, mobile robots, and 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
• Bachelors or Masters 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 safe, auditable, human-in-the-loop AI systems