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Contoro

Robotics Software Engineer, Autonomy Integration

Austin, TXfulltimemidAdded today

About this role

Contoro Robotics seeks a Robotics Software Engineer to develop and optimize autonomy integration software for warehouse automation robots. You'll bridge motion planning, robot control, and hardware coordination to improve cycle time and reliability in deployed systems, working across the full stack from trajectory execution to fault recovery.

What you'll do

  • Develop trajectory execution, task sequencing, and hardware coordination software for autonomous robots
  • Profile and reduce cycle delays across motion planning, execution, end-effectors, sensing, and material handling
  • Build and integrate reusable robot motions with online planning systems
  • Extend behavior trees and state machines for task execution, coordination, and fault recovery
  • Integrate motion-planning outputs with industrial controllers, hardware interfaces, and safety constraints
  • Diagnose production issues using logs, telemetry, simulation, and physical robot testing

What they're looking for

  • C++ and Python in production environments
  • ROS or ROS 2 on Linux
  • Robot kinematics, motion planning, and trajectory execution
  • Behavior trees and state machines
  • Hardware integration: actuators, sensors, industrial automation
  • Debugging across software, communications, and hardware
  • System profiling and performance optimization
  • Industrial robot controller interfaces
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Contoro

Contoro builds autonomous warehouse automation robots that unload boxes from trailers and containers using computer vision, motion planning, and robotic manipulation. The company is hiring robotics engineers, software engineers, data engineers, and ML specialists to develop perception systems, autonomous control software, analytics infrastructure, and motion planning algorithms for production robot fleets.

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Likely interview questions

  • Describe your experience integrating software with physical robots or industrial automation systems—what was the most challenging aspect?
  • Walk us through how you've diagnosed and resolved a cycle-time or latency issue in a deployed robotic system.
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