RealSense delivers industry-leading depth cameras and vision technology used in autonomous mobile robots, humanoids, access control, industrial automation, healthcare and more. With a mission to deliver world class perception systems for Physical AI and safely integrate robotics and AI into everyday life, RealSense provides intelligent, secure and reliable vision systems that help machines navigate and interact with the human world.

We’re hiring a hands-on Robotics Validation Engineer focused on structured test execution and high-quality data collection for robotic platforms in real lab/field conditions. You will run validation campaigns, ensure repeatable setups, capture reliable datasets (rosbags/logs/telemetry), and deliver clear execution evidence for release readiness.

What you’ll do

· Execute validation runs: sanity, regression, deployment/upgrade, stress/endurance, and issue reproduction support

· Prepare and maintain test setups: robot configuration, sensors, calibration checks, network/power readiness, and run checklists

· Own data collection activates

· Use ROS/ROS2 tooling to validate runtime integrity: topics/rates, TF correctness, timing synchronization, sensor health

· Support automation for repeatable runs: scripts for run orchestration, data capture, basic metrics extraction, and reporting

· Produce structured deliverables: execution reports, run summaries, checklists completion, and issue tickets with strong evidence

· Coordinate with R&D and validation leads to align run plans, versions, and required evidence for each campaign

Requirements

· Hands-on ROS/ROS2: nodes/topics, TF, rosbag record/playback, runtime debugging

· Practical Linux skills (CLI, networking basics, permissions, log handling)

· Python scripting ability for automation and tooling (basic–intermediate)

· Strong discipline in test execution, data quality, and documentation (repeatability and traceability mindset)

Nice to have

· Prior experience in robotics testing/validation, integration, or lab/field test execution (system-level preferred)

· Experience with perception sensors (depth cameras, IMU, LiDAR)

· Experience running endurance/stress tests and managing long-running experiments

· CI/CD or test management tools (Jira/Xray/Zephyr), dashboards, or log pipelines

· Data analysis skills (pandas/matplotlib) and comfort triaging issues from logs/rosbags