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 an experienced, hands-on, data-driven Senior Validation Engineer to lead validation of stereo depth cameras, with a primary focus on camera functional validation and camera HW/system validation. You will own validation strategy and execution, build automation and data infrastructure, and deliver high-quality evidence to support release readiness.
Main Areas of Focus
- Stereo depth camera validation (performance, robustness, reliability, functional behavior)
- Camera functional validation (functionality, diagnostics, safe behaviors under faults)
- HW/system validation (sensor HW + firmware/drivers + compute + interfaces)
- Data collection, analysis, KPI definition and automation infrastructure maintenance and development
What you’ll do
- Own end-to-end validation of stereo depth cameras across HW + FW + drivers + SW, in lab and field conditions
- Define and execute validation plans: sanity, regression, deployment/upgrade, stress/endurance, and failure reproduction
- Lead Functional Validation for stereo depth cameras
- Drive HW/System Validation
- Maintain Automation Infrastructure
- Perform deep data analysis of rosbags/logs/telemetry to detect regressions, quantify performance, and support root-cause isolation
- Maintain traceability: Requirements → Test Cases → Verification Evidence → Release/Deployment.
- Collaborate tightly with R&D/Algo/HW/FW/System teams to close the loop: issue → fix → verification
Requirements
- 5+ years in validation/system testing of complex multidisciplinary products
- Strong System functional validation experience for sensors or mission critical-related functions (evidence-driven, fault-oriented testing)
- Strong Python (automation + analysis: pytest/numpy/pandas/matplotlib or similar)
- Strong hands-on ROS/ROS2 (nodes/topics, TF, rosbag record/playback, timing/debugging)
- Strong HW/SW troubleshooting mindset: sensors, drivers/firmware, Linux, networking, timing/sync
- Proven experience building automation/test infrastructure (repeatability, scalability, regression pipelines)
- Experience producing structured validation reports and release readiness conclusions
Nice to have
- Stereo depth / 3D perception validation background (depth quality KPIs, edge cases, robustness, failure modes)
- ROS2 DDS/QoS, multi-machine deployments, time sync & performance profiling
- Experience with sensor calibration, synchronization, triggering, and multi-camera systems
- CI/CD, Docker, dashboards/log pipelines
