Robotics Software Engineer, Autonomy Integration

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 and deploy autonomous truck-unloading robots that handle heavy and highly variable payloads in real customer environments.

The Role

We are hiring a robotics software engineer to improve how our autonomous robots execute motion and coordinate work across planning, robot control, end effectors, sensors, and material-handling equipment. You will develop production software that connects high-level autonomy decisions to reliable physical execution, with a focus on reducing cycle time, eliminating unnecessary delays, and improving recovery from real-world failures.

This role is well suited for an engineer who enjoys working across software and hardware boundaries, diagnosing system-level problems, and turning performance data into practical improvements on deployed robots.

Responsibilities

Develop and improve software for robot trajectory execution, task sequencing, and hardware coordination

Profile robot cycles and reduce delays across motion planning, trajectory execution, end-effector operation, sensing, and conveyor interaction

Build and maintain reusable, validated robot motions for common operating scenarios and integrate them with online planning

Extend behavior trees or state machines for autonomous task execution, event-driven coordination, fault handling, and recovery

Integrate motion-planning outputs with industrial robot controllers, hardware interfaces, and safety constraints

Diagnose production issues using logs, telemetry, simulation, and testing on physical robots

Add instrumentation, automated tests, regression tests, and hardware validation for execution and autonomy software

Collaborate with perception, motion planning, controls, hardware, test, and deployment engineers on cross-system improvements

Participate in design reviews and contribute to system architecture and technical planning

Qualifications

B.S. or M.S. in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent industry experience

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

Proficiency in modern C++ and Python in a production environment

Experience developing with ROS or ROS 2 on Linux

Hands-on experience integrating software with physical robots, actuators, sensors, or industrial automation equipment

Working knowledge of robot kinematics, motion planning, trajectory execution, and controller interfaces

Experience with behavior trees, state machines, or similar task-orchestration frameworks

Strong debugging skills across software, communications, controls, and hardware interfaces

Ability to design, test, and deliver reliable software across subsystem boundaries

Preferred Qualifications

Experience with industrial manipulators such as KUKA, ABB, FANUC, Universal Robots, or similar platforms

Experience with MoveIt, Pilz, OMPL, Ruckig, ros2_control, or comparable robotics frameworks

Experience profiling and improving robot cycle time, throughput, latency, or trajectory execution

Familiarity with robot communication and industrial protocols such as EtherCAT, CAN, PROFINET, EtherNet/IP, or OPC UA

Experience with behavior-tree design, event-driven automation, or production recovery logic

Experience building simulation, hardware-in-the-loop, or automated regression-testing systems

Familiarity with Docker-based deployment and cloud-based logging or monitoring

Prior work in warehouse automation, manufacturing, logistics, material handling, or robotic pick-and-place applications