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Principal Perception Engineer

United States, Woburn · Job Posted January 29, 2026
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Job Description

This role offers an exciting opportunity to work in an early-stage company at the forefront of robotics and industrial automation, applying cutting-edge AI and ML techniques to develop advanced vision control systems.

Job Responsibility

  • Design and implement robust, efficient, and well-tested perception algorithms for real-world scenarios
  • Integrate classical and ML image processing algorithms for classification, depth sensing, and 3D reconstruction
  • Select optimal sensors (e.g., LIDARs, time-of-flight cameras, stereo vision) for various applications
  • Create AI and ML models to enhance object detection, classification, and tracking capabilities
  • Utilize deep learning techniques to improve system accuracy and efficiency
  • Conduct extensive testing, validation, and calibration to ensure system accuracy and reliability
  • Collaborate with cross-functional teams, including mechanical, system, mechatronic, software and software quality assurance engineers, and domain experts

Requirements

  • Master’s or PhD degree in Computer Science, Computer Vision, Machine Learning, or a related field
  • Demonstrated experience designing, implementing, testing, and optimizing vision solutions for robotic or automation applications
  • Experience working with pixels, low-level statistical features and filter responses, and higher-level representations (feature descriptors, embeddings)
  • Strong programming skills (10+ years of professional experience with Python, Rust, C++ or a similar language)
  • Experience implementing algorithms (statistical, ML, DL) for applications such as object detection, tracking, classification, scene segmentation, or SLAM
  • Proficiency in AI/ML frameworks (e.g. PyTorch) and computer vision libraries (e.g., OpenCV, PCL, Open3D, CUDA)
  • Familiarity with various depth sensing modalities (e.g., LiDAR, stereo vision, time-of-flight) and sensor fusion
  • Excellent problem-solving skills, attention to detail, and ability to work in a dynamic environment
  • Applicants must be authorized to work in the United States legally

Nice to have

  • Experience with deploying vision systems in real-world robotic solutions
  • Knowledge of robotic control systems, automation protocols, and communication interfaces
  • Familiarity with robotic simulation platforms (Issac Sim, Gazebo) to develop robotic systems
  • Experience developing within the ROS2 ecosystem

What we offer

  • RELOCATION assistance
  • Exciting compensation packages

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