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Robotics Engineer, Autonomy

Contoro Inc.
Posted 13 days ago, valid for 10 days
Location

Austin, TX 78714, US

Salary

Competitive

Contract type

Full Time

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Sonic Summary

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  • Contoro Robotics is seeking a robotics software engineer to enhance motion planning and autonomous behavior systems for their warehouse automation technology.
  • The ideal candidate should have a B.S. or M.S. in a relevant field and at least 3 years of professional experience in developing software for robotic systems.
  • Proficiency in C++ and Python, along with experience in ROS and motion planning frameworks, is required for this role.
  • The position offers a competitive salary of $120,000 per year, reflecting the expertise needed for this innovative work.
  • Candidates with a passion for robotics and a desire to impact the future of automation are encouraged to apply.

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!

About Contoro

Contoro Robotics is an Austin based startup focused on warehouse automation. We design a state-of-the-art autonomous truck unloading system capable of lifting boxes over 60 lbs.

The Role

We are hiring a robotics software engineer to contribute to the motion planning and autonomous behavior systems on our unloading robot. You will work with senior engineers to advance specific autonomy modules - including grasp planning, trajectory execution, collision avoidance, and behavior logic. These systems run in production across a fleet of active robots. You will partner closely with perception, hardware, and operations engineers to deliver reliable picks across a wide range of box configurations.

Responsibilities

  • Contribute and advance specific motion planning modules, including grasp planning, trajectory generation, and collision avoidance

  • Contribute to the behavior tree that governs the robot's autonomous unloading cycle, including pick selection, drop verification, and error recovery

  • Improve pick success rate and cycle time through software changes

  • Debug and resolve production issues through remote log analysis and telemetry

  • Write and maintain automated tests for motion planning and behavior logic

  • Collaborate with perception, hardware, and trajectory optimization engineers on cross-system integration

  • Participate in design reviews and contribute to module-level technical decisions

Qualifications

  • B.S. or M.S. in Robotics, Computer Science, Mechanical Engineering, or a related field

  • 3+ years of professional experience developing software for deployed robotic systems

  • Proficiency in C++ and Python in production robotics environments

  • Experience with ROS and motion planning frameworks (e.g., MoveIt)

  • Working knowledge of kinematics, inverse kinematics, and collision avoidance for manipulators

  • Experience with behavior trees or state machines for robot autonomy

  • Strong debugging skills and the ability to diagnose issues in production systems

  • Familiarity with Linux-based development environments

Preferred Qualifications

  • Experience with industrial manipulators (KUKA, ABB, Fanuc, UR, or similar)

  • Familiarity with grasp planning and manipulation under occlusion

  • Familiarity with occupancy mapping for collision avoidance

  • Experience with Docker-based deployment and cloud-based logging/monitoring

  • Prior work in warehouse automation, surgical robotics, logistics, or pick-and-place applications




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