Embodied Robotics Engineer

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. You get Equity based on your expertise.
• Knowledge: You need to have a good balance of Academic and Robotics Engineering Knowledge. Having knowledge of AI is a plus
• Location: Primarily Remote Germany.
• Job type can be both full-time and part-time

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 human-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 safe, auditable, human-in-the-loop AI systems