Senior Platform Software Engineer

Oracle•Santa Clara, CA

About The Position

Oracle Cloud Infrastructure (OCI) is hiring a Senior Robotics Software Engineer for its Robotics Cloud team, which connects robot operations, simulation, datasets, and AI model workflows. The role develops software for physical robots, turns operational data into useful evidence, and integrates AI models into robotic applications. The work includes capturing robot observations and actions, running models on robots or edge computers, and helping engineers reproduce failures and evaluate improvements. The engineer independently owns defined components from design through implementation, testing, deployment, and support, collaborating with robotics, simulation, and research engineers to make robot behavior reliable and measurable. The position requires direct experience developing and debugging software on physical robots. The role is based on the stated U.S. hiring range of $87,800 to $209,500 per year and may be eligible for bonus and equity. Oracle describes a comprehensive benefits package, including insurance, retirement savings, paid time off, and other benefits.

Requirements

Bachelor's degree in Robotics, Computer Science, Mechanical Engineering, Electrical Engineering, or a related discipline, or equivalent practical experience.
At least three years of software development experience, including substantial direct work on robotics software or systems.
Hands-on experience developing, integrating, and debugging software on physical robots, with clear examples of personal implementation work and measured results.
Strong programming skills in Python and/or C++, and experience developing, testing, and troubleshooting software on Linux.
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 target hardware.
Ability to independently deliver a defined software component, investigate failures across its interfaces, and explain design decisions and validation results.
Familiarity with ROS 2 or vendor robot SDKs, including communication, transforms, and timing diagnostics.

Nice To Haves

Experience with Isaac Sim, Gazebo, MuJoCo, or Nav2 for reproducing robot behavior and validating software changes.
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.
Experience with GPU-equipped robot or edge computers, containers, and automated testing for robotics software.

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 support reproducible tests and robotics datasets.
Integrate AI models and robot policies into physical robot workflows; validate model inputs and outputs, optimize inference latency and resource use, and implement diagnostics and recovery behavior.
Debug failures across robot software, sensors, controllers, and model runtimes using recorded evidence and supervised hardware tests.
Define component tests and task-level metrics, compare software and model versions, and investigate causes of changes in robot behavior.
Work with simulation engineers to reproduce physical failures in simulation and validate 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.
Use AI-assisted development and specification-driven workflows, checking generated code and experimental results for correctness.