R&D center WINSTARS.AI

This project aims to enable GPS-independent navigation, last-mile autonomy, and coordinated multi-agent behavior in complex environments through onboard AI.

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).

The role is mission-critical and directly supports core product capabilities, including GPS-agnostic SLAM
navigation, AI-powered last-mile targeting, and multi-agent coordination through of the FPV swarm.
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 5 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)

This role focuses on developing a Linux-native desktop application, with additional responsibility for supporting future Android adaptation using Kotlin.
You will be responsible for both frontend and backend components of the GCS, including map-based mission planning, telemetry processing, and interfacing with embedded and AI systems — all running locally without cloud dependencies.

Key Responsibilities:
• Design and develop a Linux-native GCS desktop app (frontend + backend)
• Build an offline drag-and-drop mission planner with local map integration
• Implement internal APIs for real-time communication with drones and onboard AI
• Handle local storage, telemetry logging, and mission data visualization
• Collaborate with embedded, AI, and autonomy engineers to align software stack
• Contribute to adapting or rewriting GCS functionality for Android (tablets) using Kotlin

Requirements:
• 7+ years of full-stack development experience on Linux systems
• Strong skills in Python (FastAPI, Flask or similar) and GUI frameworks (PyQt, GTK, Electron, or similar)
• Experience building offline-capable applications with local caching and storage
• Familiarity with REST APIs, WebSocket, MQTT, and local databases (SQLite, PostgreSQL)
• Experience developing UI for real-time systems (e.g., telemetry, control interfaces)
• Intermediate or higher English (B1+)
• Ability to work autonomously and collaborate with cross-functional engineering teams

Preferred Qualifications:
• Kotlin experience and ability to support Android adaptation of the GCS app
• Familiarity with GCS systems, ArduPilot/MAVLink, or mission control interfaces
• Experience integrating frontend systems with embedded/AI-based edge devices
• Prior work on military, robotics, or tactical software solutions
• Familiarity with Git, Docker, and Jira-based Agile workflows

​Winstars.AI is a research and development center comprising scientists, engineers, and visionaries dedicated to leveraging advanced technologies to enhance global efficiency and security. Since 2016, we have been committed to transforming ambitious projects into reality, creating our own products, and supporting others in their development.

We are looking for a highly skilled Data Scientist with a strong background in Python, NLP, machine learning, and deep learning frameworks, as well as experience in computer vision tasks. This role offers an opportunity to work on innovative AI-driven projects in a dynamic and experienced team.

THAT WOULD BE WONDERFUL IF YOU HAVE:

• 5+ years of relevant experience in Machine Learning.
• Strong Python skills with frameworks such as PyTorch or TensorFlow.
• Solid hands-on experience with reinforcement learning algorithms (e.g., DDPG, PPO, SAC).
• Background in biologically inspired models or biosignal processing.
• Experience building custom environments (e.g., OpenAI Gym, Unity ML-Agents, or in-house simulators).
• Familiarity with hardware integration and communication via APIs.
• Upper-intermediate+ in English.

WOULD BE A PLUS:

• Experience with real-time control systems or robotics.
• Knowledge of neurophysiology, bioelectronics, or cognitive science.
• Publications or participation in research projects in related fields.

ADVANTAGES FOR A CANDIDATE:

• Stable and competitive salary.
• Official employment under a gig contract.
• Work in a cool & experienced team.
• Useful & exciting project.
• Up to 26 Days Off per year at your convenience.
• Convenient office in Vinnytsia or an opportunity to work remotely.
• Review of working conditions and position based on performance, productivity and development in accordance with a skills assessment program.
• Excellent opportunities and prospects for professional growth in a company with a 9-year history.