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Sr. Robotics Engineer, Perception

Job in Austin, Travis County, Texas, 78716, USA
Listing for: Contoro Inc.
Full Time position
Listed on 2026-03-09
Job specializations:
  • Engineering
    Robotics
Salary/Wage Range or Industry Benchmark: 110000 - 150000 USD Yearly USD 110000.00 150000.00 YEAR
Job Description & How to Apply Below

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 Senior 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.
  • Education: Minimum 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) tool chains.
    • 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 (April Tags, ArUco).
  • Prior work with cloud-based monitoring/logging (AWS Robo Maker, 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 (nectar

    HR)
  • 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!#J-18808-Ljbffr
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