Robotics Validation Engineer Embedded systems

Position:

Robotics Validation Engineer Embedded systems

Experience:

5 Years

Location:

Bangalore (WFO)

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.

Working exp with sensors

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