Nanit Robot

Joined in 2024
62% answers
Nanit Robot — онлайн Інжинірінгова школа №1.

🤖 Nanit Robot - це Українська компанія, яка навчає дітей та дорослих Робототехніці та програмуванню та розвиває креативність та інженерні навички, які підвищують професійну орієнтацію в 3 рази швидше.

👉Сучасні методики навчання застаріли. Ми пропонуємо рішення, що створює інженерів майбутнього у 3 рази швидше. Навчальний процес підвищує саме творчі та інженерні навички.

🤖Nanit Robot - це унікальна комбінація навчання: 1) Навчальний набір конструктора 2) Відео-книги 3) Онлайн навчання

🙋‍♂️Nanit Robot для дітей - це вивчення робототехніки та програмування для дітей від 5-13 років, наш конcтруктор та відеоуроки розвивають розвиток дитини та робить процес навчання цікавим та легким. З нашим набором дитина може зібрати 30 модифікацій роботів.

👨‍💻Nanit Smart Home та Nanit Наземний Дрон - це програми для чоловіків та жінок, які розроблені спеціально для початківців, щоб навчити електроніці, схемотехніці, програмуванню, технічній англійській мові.

✅Опануйте сучасні технології автоматизації, робототехніки з нашими наборами навчання.
  • · 41 views · 5 applications · 9d

    AI/SLAM/Autonomy Engineer

    Full Remote · Worldwide · 7 years of experience · B1 - Intermediate MilTech 🪖
    About the company: Faraday Robotics is a global Service-Disabled Veteran-Owned Small Business (SDVOSB) company delivering autonomous and tactical solutions since 2019. With 140+ successful projects, we specialize in secure, offline-capable systems that...

    About the company:
    Faraday Robotics is a global Service-Disabled Veteran-Owned Small Business (SDVOSB) company delivering autonomous and tactical solutions since 2019. With 140+ successful projects, we specialize in secure, offline-capable systems that work without GPS or internet.

     

    We're hiring a senior AI/SLAM/Autonomy Engineer to lead the autonomy stack for ECITON — a distributed swarm drone platform for edge operations.
    You’ll integrate visual SLAM, path planning, AI decision-making, and onboard ML inference to enable GPS-denied navigation, target detection, last-mile autonomy, and swarm coordination via ArduPilot-based controllers.

    Key Responsibilities: 
    • Design and integrate real-time SLAM pipelines (visual-inertial preferred) for autonomous navigation. 
    • Object tracking algorithms using OpenCV. 
    • Train and deploy lightweight ML models for onboard inference in real-world conditions. 
    • Integrate AI/ML modules for target detection and behavioral decision-making. 
    • Support GPS-agnostic navigation via sensor fusion and terrain-aware motion planning. 
    • Collaborate with embedded, full-stack, and hardware teams to align the autonomy stack with system
    level constraints. 
    • Optimize performance on ARM-based edge compute platforms (Raspberry Pi, Jetson Nano, etc.).

    Requirements: 
    • Minimum 7 years of experience in autonomy, robotics, or computer vision systems. 
    • Proficient in OpenCV, visual SLAM, and real-time localization. 
    • Strong skills in C++ and Python; experience with ROS/ROS2. 
    • Demonstrated experience with ML model training and deployment (TensorFlow, PyTorch, etc.). 
    • Ability to run perception and AI systems on embedded Linux hardware. 
    • Understanding of flight dynamics and real-time motion planning. 
    • Ability to debug and tune systems in field environments.

     

    Preferred Qualifications: 
    • Experience with ArduPilot, PX4, or similar UAV control frameworks. 
    • Familiarity with object detection models (e.g., YOLO, MobileNet) and model quantization. 
    • Experience with multi-agent autonomy, swarm logic, or distributed path planning. 
    • Background in defense, tactical robotics, or mission-critical systems. 
    • English level not lower than B1 (Intermediate). 
    • Agile development experience (Jira, Git). 

    More
  • · 119 views · 8 applications · 9d

    Embedded Systems Engineer

    Full Remote · Worldwide · 7 years of experience · B1 - Intermediate MilTech 🪖
    About the company: Faraday Robotics is a global Service-Disabled Veteran-Owned Small Business (SDVOSB) company delivering autonomous and tactical solutions since 2019. With 140+ successful projects, we specialize in secure, offline-capable systems that...

    About the company:
    Faraday Robotics is a global Service-Disabled Veteran-Owned Small Business (SDVOSB) company delivering autonomous and tactical solutions since 2019. With 140+ successful projects, we specialize in secure, offline-capable systems that work without GPS or internet.

     

    We're hiring a senior Embedded Systems Engineer to lead low-level development for ECITON — an autonomous drone swarm OS platform built for edge environments.
    You’ll be responsible for programming and integrating ARM/Linux-based hardware, enabling GPS-free SLAM navigation, AI-driven targeting, and real-time swarm coordination via FPV systems.


    Key Responsibilities: 
    • Design, develop, and optimize embedded software for Raspberry Pi-based and STM32 systems. 
    • Implement robust UART, I2C, and IMU integration for hardware-software interfacing. 
    • Manage power logic, boot processes, watchdogs, and runtime reliability. 
    • Collaborate with autonomy, AI, DevOps, and hardware teams across locations. 
    • Support integration with ArduPilot, ROS and swarm-control frameworks.

    Requirements: 
    • Minimum 7 years of experience in embedded systems development. 
    • Strong proficiency in C/C++ and Python on Linux (preferably Debian-based). 
    • Proven experience with FPV or robotics hardware and GPIO-level programming. 
    • In-depth knowledge of UART, I2C, IMU sensors, and system-level debugging. 
    • Ability to work independently in a remote or hybrid engineering environment.

     

    Preferred Qualifications: 
    •  Direct experience working with drones, UAV platforms, or robotic systems. 
    • Familiarity with ArduPilot, PX4, or similar autopilot software. 
    • Prior work on tactical, edge, or defense-related hardware projects. 
    • Agile management through Jira, version control through GitHub 
    • English level not lower that B1 (Intermediate)

    More
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