- Robot type
- Warehouse and Logistics
- Location
- AustinTexasUSA
- Job type
- Artificial Intelligence
- Posted
- Jul 31, 2026
Sr. Robotics Engineer, Perception
Job description
At Contoro Robotics , we're on a mission to solve labor challenges through advanced robotic solutions. Headquartered in Austin, TX , our fast-growing startup is transforming the supply chain industry with our flagship warehouse automation technology. Our team is made up of top-tier experts in robotics, AI, and logistics , working together to push the boundaries of automation.
We’re looking for talented and ambitious individuals to join us on this journey—helping shape the future of robotics while growing alongside a world-class team. If you're passionate about innovation, problem-solving, and making a real-world impact, we want to hear from you!
Contoro Robotics is an Austin-based startup…
Job responsibilities
- Perception & Computer Vision Detect and estimate 6-DoF poses and 3D dimensions of rigid objects under occlusion and challenging lighting.
- Sensor Fusion & Calibration Integrate and synchronize multi-modal sensors (cameras, LiDAR, IMU, radar/ultrasonic).
- Perform extrinsic/intrinsic calibration techniques (hand-eye, LiDAR–camera alignment).
- Localization & Environment Awareness Implement lightweight localization methods (e.g., point-cloud registration, marker-based or feature-map alignment) within constrained, repetitive environments like shipping…
Job requirements
- Experience: 5+ years of professional experience in robotics perception and sensor fusion, with at least 2 years in a senior or lead role.
- Education: Min. bachelor's degree in Robotics, Computer Science, Electrical Engineering, or a related field/equivalent industry experience).
- Technical Expertise: Proficient in C++ (modern standards), Python, and ROS 1/ROS 2.
- Hands-on with industrial 3D cameras, LiDARs, IMUs, radar sensors, and synchronized data acquisition.
- Deep understanding of multi-sensor calibration techniques (e.g., hand-eye, LiDAR–camera extrinsics).
- Strong background in both deep-learning (e.g. YOLO, Mask R-CNN) and classical vision (feature matching, PnP, RANSAC) toolchains.
- Proficiency with OpenCV, PCL, Open3D for real-time image and point-cloud processing.
- Soft Skills: Strong problem-solving skills and data-driven decision-making.
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