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Contoro Inc.

Jr./Sr. level Robotics Engineer, Perception

Austin, Texas, United States

Location
Austin, Texas, United States
Work
On-site
Employment
Full-time
Level
Senior
Function
Engineering
Pay
Not stated
Posted
3 months ago

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About the role

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!

Source

Posted by Contoro Inc. on their own hiring page, jobs.ashbyhq.com. OptiTalent shows it as published, read 07 Nov 2026 11:59 UTC; the original is the reference.

View the original ad ↗

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