Sr/Lead Robotics Validation Engineer

Job Summary


Responsibilities

• Validation Strategy Usecases: Define Usecases and execute 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

• 6-12 years in QA/Validation, with 7+ years in robotics or AMR systems.
• Strong Python for automation and C++ for ROS2 integration.
• Hands-on experience with ROS2, Nav2 stack, colcon, and simulation tools (Gazebo/Ignition, Isaac Sim).
• Expertise in LiDAR, 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


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