К основному содержанию

CRM/Retention-менеджер

Lead· 5 лет· @cyprusithr (Telegram MTProto) · 11 часов назад
AI-саммари
Systems & R&D инженер с опытом более 5 лет в разработке аппаратно-программных комплексов, робототехники, автономной навигации и Edge AI/Computer Vision. Руководил мультидисциплинарной R&D командой из 10+ инженеров, реализовав свыше 100 робототехнических систем. Ищет позиции в сферах Robotics, Embedded, Systems Engineering или Edge AI с удаленным форматом работы или релокацией.
Роль
CRM/Retention-менеджер
Грейд
Lead
Опыт
5+ лет
Трафик
native
ЗП от
не указана
Контакт
прямой
Площадка
@cyprusithr (Telegram MTProto) ↗
Обновлено там
13.09.2026
В базе с
14.09.2026
Оригинал с площадки RAW
Как пришло с «@cyprusithr (Telegram MTProto)» · скачано 14.09.2026 — без AI-обработки.
#CV #SystemsEngineer #Embedded #Linux #Robotics #ComputerVision #EdgeAI #AppliedAI #MachineLearning #Cyprus #Remote #Relocation
#CV #SystemsEngineer #Embedded #Linux #Robotics #ComputerVision #EdgeAI #AppliedAI #MachineLearning #Cyprus #Remote #Relocation Hi! I’m Vadim, a Systems & R&D Engineer with 5+ years of experience developing complex hardware-software products. I work across the full engineering lifecycle: system architecture, component selection, embedded development, hardware-software integration, testing, deployment and field support. Currently, I develop autonomous navigation, perception and system integration for tracked industrial inspection robots. My experience also includes applied AI and machine vision: preparing datasets, training object and defect-detection models, optimizing inference and deploying models on edge hardware. Previously, I led a multidisciplinary R&D team of 10+ engineers and helped deliver more than 100 robotic systems across 7+ platform types. Technical stack: • Systems and embedded: Linux, ARM/x86, Jetson, RK3588, STM32, systemd • Programming: C++, C, Python, Node.js • Applied AI/ML: object and defect detection, dataset preparation and labeling, model training, ONNX conversion, quantization and inference optimization • Computer vision and perception: OpenCV, PCL, YOLO, TensorFlow, TensorRT/CUDA, RKNN, camera calibration, LiDAR-camera fusion • Robotics: ROS 2, Nav2, ros2_control, MoveIt, SLAM, localization, planning and sensor fusion • Hardware integration: LiDAR, cameras, IMU, GNSS/RTK, motor controllers, BMS and power systems • Interfaces and networking: CAN, CANopen, EtherCAT, Modbus, RS-485, UART, I2C, SPI, Ethernet, LTE/Wi-Fi and VPN • Video and teleoperation: WebRTC, GStreamer, FFmpeg, MediaMTX and go2rtc I’m interested in Systems/R&D, Embedded, Robotics, Autonomous Systems, Computer Vision, Edge AI and Applied AI/ML roles, particularly where software interacts with sensors, hardware or real-world systems. Open to remote roles worldwide, as well as relocation and on-site or hybrid positions. Visa sponsorship is required if relocation is necessary. Russian: Native, English: B2 CV attached. Telegram: @a_vadya

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