Robotics Engineer, Autonomy

Posted 3 Days Ago
Be an Early Applicant
Austin, TX, USA
In-Office
Mid level
Artificial Intelligence • Information Technology • Robotics • Automation
The Role
Develop and improve motion planning and autonomy modules (grasp planning, trajectory generation, collision avoidance, behavior trees) for deployed warehouse unloading robots. Debug production systems, write automated tests, and integrate with perception, hardware, and operations to increase pick success and reduce cycle time.
Summary Generated by Built In
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

Skills Required

  • B.S. or M.S. in Robotics, Computer Science, Mechanical Engineering, or related field
  • 3+ years 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 ability to diagnose issues in production systems
  • Familiarity with Linux-based development environments
  • 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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The Company
HQ: Austin, Texas
35 Employees
Year Founded: 2022

What We Do

Contoro Robotics is an Austin-based robotics startup that is revolutionizing industrial automation with AI-powered robots, focused on automating the unloading of floor-loaded trailer and shipping containers from trucks. Their pioneering human-in-the-loop (HITL) model ensures over 99% success in real-world applications, bridging the gap between AI limitations and the commercial viability of advanced robotics solutions.

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