Perception Systems Lead

4 weeks ago

London, Greater London, United Kingdom Skillsbay Limited Full time
Perception Lead Job Description

At Skillsbay Limited, we are seeking a highly skilled Perception Lead to join our team and lead the development of cutting-edge perception systems for our humanoid robots. The ideal candidate will have a strong background in computer vision, machine learning, and sensor fusion technologies, with a proven track record in developing algorithms for object detection, semantic segmentation, and 3D scene understanding.

Key Responsibilities:
  • Design, implement, and optimize computer vision algorithms for object detection, semantic segmentation, and 3D scene understanding in dynamic environments.
  • Develop and refine sensor fusion techniques to combine data from cameras, LIDAR, RADAR, IMUs, and other sensors to create a robust and accurate perception system.
  • Integrate perception algorithms with the robot's navigation and reasoning systems to enable real-time decision-making and autonomous behavior.
  • Oversee and improve sensor calibration processes to ensure precise alignment and synchronization of multi-sensor data.
  • Design and implement object recognition and localization algorithms to enable the robot to identify and interact with objects in its environment accurately.
  • Collaborate closely with the Reasoning, Navigation, and Locomotion teams to align perception strategies with the robot's movement and environmental interaction requirements.
  • Evaluate and improve existing perception solutions based on real-world deployment feedback and data, ensuring reliable performance in varied operational conditions.
  • Ensure seamless integration of perception components within the robot's software architecture, including working with frameworks such as ROS.
  • Mentor and guide team members, fostering a culture of innovation, technical excellence, and continuous improvement.

Requirements:
  • Advanced degree in Computer Science, Electrical Engineering, Robotics, or a related field.
  • Extensive experience in machine learning, computer vision, and sensor fusion technologies.
  • Proven track record in developing algorithms for object detection, semantic segmentation, and 3D scene understanding.
  • Proficiency in programming languages such as Python or C++, with strong experience in machine learning frameworks (e.g., TensorFlow, PyTorch).
  • Strong experience with ROS and its application in perception systems for robotics.
  • Demonstrated ability to lead technical teams and manage complex projects.
  • Excellent communication and collaboration skills, with a demonstrated ability to work effectively across interdisciplinary teams.

Preferred Qualifications:
  • Experience with perception systems for humanoid robots or other complex robotic platforms.
  • A strong publication record in the fields of computer vision, machine learning, or robotic perception.
  • Passion for robotics and a drive to push the boundaries of what is possible.
  • Familiarity with real-time perception system optimization and the integration of AI-based models for enhanced sensor fusion and scene understanding.

What We Offer:
  • High competitive salary.
  • 23 calendar days of vacation per year.
  • Flexible working hours.
  • Opportunity to work on the latest technologies in AI/ML, Robotics, and others.
  • Startup model, offering a dynamic and innovative work environment.

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