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Join AMD’s PAVS team as a Robotics Usecases Validation Engineer where you will Validate and Execute diverse Robotics platforms, variants and customer usecases for advanced robotics systems across software, hardware, and integrated platforms. Your work will ensure safety, reliability, and performance through rigorous testing in simulation, Gazebo, Isaac sim, SIL/HIL environments, and real-world deployments.
Job Responsibility:
Define Usecases and execute validation plans for robotics software stacks (perception, planning, control) and hardware subsystems
Develop automated test suites for ROS2 nodes, navigation stack (Nav2), and fleet APIs using Python/C++, pytest, gtest/gmock
Build simulation environments (Gazebo/Ignition, Isaac Sim) for warehouse layouts
author scenarios for obstacle avoidance, dynamic traffic, and multi-robot coordination
Set up Software-in-the-Loop and Hardware-in-the-Loop rigs for AMR controllers, LiDAR emulators, and safety sensors
automate provisioning and logging
Validate LiDAR, depth cameras, IMU, wheel encoders, and odometry accuracy under varying conditions
Test SLAM, localization robustness, path planning, and fleet orchestration (traffic management, task allocation, VDA5050 compliance)
Execute safety protocols for AMRs (emergency stop, zone monitoring, speed limits) aligned with ISO 3691-4, ISO 13849, ANSI/RIA R15.06
Measure latency, throughput, and stability under high-load scenarios
validate battery management and docking behaviors
Embed automated tests into pipelines for continuous validation
monitor KPIs like defect escape rate and scenario coverage
Act as a strong individual contributor and mentor for robotics validation teams
collaborate with cross-functional stakeholders to ensure customer experience is prioritized
Requirements:
4 to 7 years in QA/Validation, with 4+ 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)
Bachelor’s or Master’s degree in Robotics, Electronics, Mechatronics, Computer Science, or a related field
Nice to have:
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