Robotics Validation Engineer Embedded systems
Key Responsibilities:
- Validation Strategy: Define and execute risk-based validation plans for robotics software stacks (perception, planning, control) and hardware subsystems.
- Automation & Frameworks: Develop automated test suites for ROS2 nodes, navigation stack (Nav2), and fleet APIs using Python/C++, pytest, gtest/gmock.
- Simulation & Scenario Testing: Build simulation environments (Gazebo/Ignition, Isaac Sim) for warehouse layouts; author scenarios for obstacle avoidance, dynamic traffic, and multi-robot coordination.
- SIL/HIL Validation: Set up Software-in-the-Loop and Hardware-in-the-Loop rigs for AMR controllers, LiDAR emulators, and safety sensors; automate provisioning and logging.
- Sensor QA: Validate LiDAR, depth cameras, IMU, wheel encoders, and odometry accuracy under varying conditions.
- Navigation & Fleet QA: Test SLAM, localization robustness, path planning, and fleet orchestration (traffic management, task allocation, VDA5050 compliance).
- Safety & Compliance: Execute safety protocols for AMRs (emergency stop, zone monitoring, speed limits) aligned with ISO 3691-4, ISO 13849, ANSI/RIA R15.06.
- Performance & Reliability: Measure latency, throughput, and stability under high-load scenarios; validate battery management and docking behaviors.
- CI/CD Integration: Embed automated tests into pipelines for continuous validation; monitor KPIs like defect escape rate and scenario coverage.
- Leadership: Act as a strong individual contributor and mentor for robotics validation teams; collaborate with cross-functional stakeholders to ensure customer experience is prioritized.
Required Qualifications:
- 5 to 8 years in robotics or AMR systems.
- Strong Python for automation and C++ for ROS2 integration validation.
- Hands-on experience with ROS2, Nav2 stack, colcon, and simulation tools (Gazebo/Ignition, Isaac Sim).
- Expertise in LiDAR, Sensors depth cameras, IMU, odometry, and sensor calibration.
- Familiarity with fleet management systems, traffic control, and VDA5050 protocol.
- CI/CD experience with GitHub Actions/GitLab CI/Jenkins; Docker-based test environments.
- Knowledge of functional safety standards for mobile robots (ISO 3691-4, ISO 13849).
Preferred Skills:
- Multi-robot coordination, dynamic obstacle handling, and SLAM algorithms.
- Robotics AMR safety PLCs, zone scanners, and emergency stop circuits.
- Warehouse automation workflows, WMS integration, and OPC-UA.
- Performance benchmarking, reliability testing, and telemetry dashboards.
Success Metrics
- Automated coverage of navigation and fleet scenarios.
- Reduction in field defect escape rate.
- Stability and reliability under multi-robot deployments.
- Compliance with safety standards and successful audits.
Academic Credentials:
Bachelor’s or Master’s degree in Robotics, Electronics, Mechatronics, Computer
