Ми — Науково-Виробниче Об’єднання повного циклу. Розробляємо та виробляємо власні Продукти для потреб сьогодення, а також надаємо кастомізовані рішення у форматі Solutions Boutique (ексклюзивні технологічні послуги) задля поля бою завтрашнього дня. Ми щоденно перетворюємо теоретичні концепти в реальні технологічні переваги.
Strong proficiency in Python and C/C++, preferably with a solid background in embedded systems programming.
In-depth understanding of message brokers, sockets, and communication technologies such as ZeroMQ, RabbitMQ, or Apache Kafka, essential for building scalable and efficient data processing pipelines across edge and cloud environments.
Expertise in designing and implementing robust data pipelines capable of seamlessly integrating with edge devices and cloud systems, efficiently handling diverse data types, including images, videos, text, and audio.
Familiarity with both microservices and monolithic architectures, along with their respective trade-offs in edge-to-cloud communication and data flow management.
Knowledge of CI/CD workflows and automation tools (e.g., Jenkins, Travis CI, GitHub Actions) to streamline the deployment and maintenance of ML models across distributed environments.
Preferred: hands-on experience with sensor data acquisition, preprocessing, and integration on edge devices, utilizing communication protocols such as SPI, UART, I2C, and others.
Preferred: solid understanding of edge computing constraints, including resource limitations, power efficiency, latency considerations, and offline operation strategies.
Excellent problem-solving and analytical skills, with the ability to critically assess challenges and devise innovative solutions for ML deployments in edge-cloud environments. Effective written and verbal communication skills, enabling smooth collaboration with cross-functional teams.
Preferred Experience:
Extensive experience with modern C++ (C++11/14/17/20), including multithreading, memory management, and performance optimization in resource-constrained environments.
Acknowledgeable grasp of Python for scripting, automation, and ML model integration into C+±based systems. Tech Lead (C++, Python)
Experience working with cross-compilation toolchains and build systems like CMake, Bazel, or Meson for embedded and edge platforms.
Strong knowledge of real-time systems and constraints, with expertise in concurrency control, scheduling, and real-time operating systems.
Familiarity with DevOps practices, CI/CD pipelines, and automated testing strategies for C+±driven development workflows.
Strong understanding of digital video technologies, including hardware components, communication protocols, processing techniques, and encryption methods.
Familiarity with edge-to-cloud synchronization mechanisms and communication protocols such as MQTT, CoAP, or AMQP to enable efficient and reliable data exchange.
Experience with robotic frameworks like ROS, ROS2, or Ardupilot, particularly in the context of edge-cloud computing for robotics and autonomous systems.