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AI Computer Vision LeadQuantum Systems Inc • Kief, North Dakota, United States
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AI Computer Vision Lead

Quantum Systems Inc
  • US
    Kief, North Dakota, United States
  • US
    Kief, North Dakota, United States
Postuler Maintenant

À propos

Quantum Systems next-generation unmanned solutions across air, land, and sea. From advanced aerial drones to underwater and ground platforms, our systems combine cutting‑edge hardware with AI‑driven software for seamless control and real‑time data insights. Trusted by defense, security, and public sector clients worldwide, we redefine mission versatility and performance.
Quantum-Systems is a strong supporter of Ukraine and has its local Ukrainian office since 2022.
The role is based in Kyiv and we expect you to work full‑time in the office.
What is your Day to Day Mission:
Lead team of ML Engineers
Design, develop, and optimize real‑time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
Conduct model training, testing, benchmarking, and validation in real flight environments
Integrate AI models into onboard systems
Collaborate with other software and hardware teams to ensure robust end‑to‑end performance
Research and apply state‑of‑the‑art deep learning methods in computer vision
What you bring to the team:
8+ years of experience in AI/ML, with a strong focus on computer vision
Strong leadership experience
Experience building ML infrastructure and training pipelines
Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
Proficiency in Python, C++, PyTorch or TensorFlow
Experience with real‑time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
Solid understanding of data annotation, augmentation, and training workflows
Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
Experience working with aerial/surveillance imagery or geospatial data is a strong plus
Bachelor’s or Master’s degree in Computer Science, Robotics, or related field
Nice to Have:
Knowledge of GStreamer, OpenCV, or similar real‑time streaming frameworks
Familiarity with UAVs, drone flight control, or defense technologies
Understanding of object re‑identification or multi‑target tracking
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  • Kief, North Dakota, United States

Compétences linguistiques

  • English
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