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FireWeed
We are a technology company in the field of IT miltech, we are currently looking forComputer Vision / Machine Learning Engineerto join the R&D team. Work in the office, full time. This role is for an engineer who wants to apply his skills in difficult real-world conditions: automatic targeting of anti-aircraft missiles, target tracking, real-time video analytics — all of this directly affects the effectiveness of combat operations. 400; text-decoration: none">Developing computer vision algorithms in real-time;
Development of a system for automatic target capture and tracking (autolock + manual control);
What we expect:
Commercial knowledge of 3+ years;t-style: normal; text-decoration: none">Experience with OpenCV, MediaPipe, TensorFlow, PyTorch, ONNX (2+ years);
Knowledge of classic tracking algorithms: KLT, optical flow, Kalman filter, Deep SORT, Siamese networks;
Ability to optimize models for real-time execution (TensorRT, OpenVINO, Edge TPU, NPU);
Working with embedded platforms: NVIDIA Jetson, Raspberry Pi;
Understanding coordinate systems, spatial transformations, GPS/INS;
Experience with real-time video processing, logging, validation of algorithms in the field;
Teamwork with Git and task managers (JIRA, Asana);
Would be an advantage:
Knowledge or experience with ROS;
CV/ML integration experience in autonomous unmanned systems;
Terms of use:
Working on innovative projects in an international company that shapes the global market of defense technologies;
Professional development and training, access to expertise within the team;
Competitive salary based on experience and results;
Team culture based on mutual support, shared mission and engagement;
Comfortable office: generator, stable internet, rest areas;
We will review your resume within 10 working days and contact you if the profile matches.