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Contoro

Jr./Sr. level Robotics Engineer, Perception

Austin, TXOnsite · United States
Senior · FullTime · Engineering
POSTED 31 JULVERIFIED 6H AGO
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101 days opentrue age
Posted 31 Jul
Pay
$158k–$214kno pay posted
$108k$214k
Market p25–p75
$158k–$214k
H-1B median · Software engineering
$108k
Austin · n=41 · 365d to 6 Nov
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17,059open · Senior Software engineering
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7H-1B LCAs · FY26
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LCAs FY26 · n=7 · to 2026-05-19
PythonC++AWSAzureDocker

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 · ContoroFirst seen 2 NovOriginal ↗