Why this role stands out
This role offers significant career growth and the opportunity to develop cutting-edge perception systems that directly impact the future of warehouse automation. You'll thrive here if you are a driven engineer passionate about solving complex robotics challenges and contributing to a rapidly growing, innovative company. Apply now to join a world-class team and shape the future of logistics!
Quick overview
Job description
Join Contoro Robotics – Revolutionizing Warehouse Automation with Cutting-Edge Robotics
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!
Intro
Contoro Robotics is an Austin-based startup revolutionizing warehouse automation with a cutting-edge autonomous truck unloading solution capable of handling payloads over 60 lbs. Our mission is to deploy reliable, high-throughput robotic systems that solve real logistics challenges daily—beyond proof-of-concept demos. We’re seeking a seasoned Junior/Senior level Robotics Engineer specializing in perception and sensor fusion to drive our next generation of autonomous capabilities from prototype to production.
Job Responsibility
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 containers.
Qualification/Requirements
Experience: 5+ years of professional experience in robotics perception and sensor fusion, with at least 2 years in a senior or lead role for the Sr level.
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.
Excellent communication—capable of presenting complex technical concepts clearly to cross-functional teams.
Preferred/Plus
Exposure to SLAM-lite or marker-based mapping approaches (AprilTags, ArUco).
Prior work with cloud-based monitoring/logging (AWS RoboMaker, Azure IoT).
What We Offer
Competitive salary and equity options in a rapidly growing startup.
Comprehensive benefits:
health, vision, dental
401k match
health & wellness program
continuous education
Free Office Snacks
Flexible Work hours
Entertainment Area (ping pong)
Pet friendly office
Employee Recognition Program (nectarHR)
A high-impact role with the chance to directly shape the future of robotics.
Opportunities for career growth in an exciting, fast-paced, and innovation-driven environment.
A collaborative and dynamic team, where your contributions are valued, and you’ll have the support needed to excel.
Join Us & Shape the Future of Robotics!
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