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AI/SLAM/Autonomy Engineer в Faraday Robotics
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AI/SLAM/Autonomy Engineer в Faraday Robotics
Job summary
An international technology firm is seeking an AI & Computer Vision Engineer to develop and optimize SLAM systems for their GPS-free swarm platform. This role involves building object tracking pipelines, deploying ML models, and enabling autonomous navigation. The ideal candidate should be well-versed in OpenCV and proficient in programming languages such as C++ and Python. Opportunities for remote work are available, making this position an exciting opportunity in a dynamic and innovative environment.
Qualifications
- Strong expertise in OpenCV, SLAM, and localization algorithms.
- Proficiency in C++ and Python, experience with ROS or ROS2.
- Experience training and deploying ML models (TensorFlow, PyTorch).
Responsibilities
- Build SLAM systems and object tracking pipelines (OpenCV).
- Deploy ML models for onboard inference.
- Develop GPS-free navigation: sensor fusion, obstacle avoidance.
Skills
👤 AI/SLAM/Autonomy Engineer at Faraday Robotics
📍 Remote / Hybrid (Ukraine / USA / EU)
About the company: Faraday Robotics is an international company founded in 2019. We have successfully delivered over 140 projects in the field of autonomous systems. We build solutions capable of operating without GPS or internet — autonomously, reliably, and safely.
We are currently looking for an AI & Computer Vision Engineer for ECITON, our GPS-free swarm platform. You will develop and optimize SLAM, mapping, computer vision pipelines, and deploy ML models onboard drones. This role is critical for enabling autonomous navigation, target detection, last-mile operations, and real‑time multi‑drone coordination.
- Build SLAM systems and object tracking pipelines (OpenCV)
- Deploy ML models for onboard inference
- Develop GPS‑free navigation: sensor fusion, obstacle avoidance
- Integrate AI for target detection and decision‑making
- Optimize models and algorithms for ARM devices (Jetson, Raspberry Pi)
- Collaborate closely with embedded, software, and hardware teams
- Strong expertise in OpenCV, SLAM, and localization algorithms
- Proficiency in C++ and Python, experience with ROS or ROS2
- Experience training and deploying ML models (TensorFlow, PyTorch)
- Understanding of embedded Linux systems
- Ability to configure, test, and debug systems in field conditions
- Basic knowledge of aerodynamics and motion planning
We’d be happy to talk with you!
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.