Oracle Cloud Infrastructure (OCI) is looking for a Senior Robotics Software Engineer to develop software for physical robots, turn operational data into useful evidence, and integrate AI models into robotic applications.
The OCI Robotics Cloud team connects robot operations, simulation, datasets, and AI model workflows. In this role, you will build the software that captures what a robot observes and does, runs models on robot or edge computers, and helps engineers reproduce failures and evaluate improvements.
You will independently own defined components from design through implementation, testing, deployment, and support. You will work with robotics, simulation, and research engineers to make robot behavior reliable and measurable. This role requires direct experience developing and debugging software on physical robots.
Internal Responsibilities
Develop and maintain robotics software in Python and/or C++, including robot application logic, sensor and actuator interfaces, and model execution components.
Build tools to collect, synchronize, inspect, replay, and analyze robot operational data, including images, sensor measurements, robot state, commands, trajectories, and task outcomes.
Preserve timestamps, calibration, coordinate frames, observation and action definitions, software versions, and data provenance so recordings can support reproducible tests and robotics datasets.
Debug failures across robot software, sensors, controllers, and model runtimes using recorded evidence and supervised tests on hardware.
Work with simulation engineers to reproduce physical failures in simulation and validate the observation, action, timing, and controller interfaces used by learned policies.
Deliver maintainable components with clear designs, automated tests, documentation, code review, and operational diagnostics. Communicate dependencies and technical tradeoffs early.
A bachelor's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience.
Hands-on experience developing, integrating, and debugging software on physical robots, with clear examples of your own implementation work and measured results.
Working knowledge of robotics fundamentals, including coordinate transforms, odometry, kinematics, feedback control, sensor calibration, and timing constraints.
Experience working with robot sensor, state, and action data, including timestamp alignment, calibration, missing data, and reproducible recording or replay.
Experience integrating AI/ML models or policies into robotic applications, including input preprocessing, output interpretation, inference, and evaluation using PyTorch or a comparable framework.
Practical experience optimizing model inference with TensorRT, including measuring latency, resource use, and output correctness on the target hardware.
Familiarity with ROS 2 or vendor robot SDKs, including communication, transforms, and timing diagnostics.
Experience with teleoperation demonstrations, rosbag2, MCAP, LeRobot, or robotics dataset curation and versioning.
Experience with perception, manipulation, localization, navigation, motion control, or deployment of learned robot policies.
You will help turn real robot operations into better software, more useful datasets, and dependable AI applications. Your work will connect simulation and learning advances to measurable results on physical robots
External Responsibilities
Develop and maintain robotics software in Python and/or C++, including robot application logic, sensor and actuator interfaces, and model execution components.
Build tools to collect, synchronize, inspect, replay, and analyze robot operational data, including images, sensor measurements, robot state, commands, trajectories, and task outcomes.
Preserve timestamps, calibration, coordinate frames, observation and action definitions, software versions, and data provenance so recordings can support reproducible tests and robotics datasets.
