Robotics System Integration Engineer (m/f/d)

Role Overview

This role focuses on integrating, bringing up, validating, and deploying robotic vehicle platforms. It involves working across software components, sensors, vehicle interfaces, system configurations, communication links, and deployment environments to ensure reliable, test-ready operation in real-world scenarios.

A strong systems mindset is essential, with the ability to connect hardware, software, configuration, diagnostics, testing, and field deployment into a fully functional robotic platform.

Key Responsibilities

• Integrate and validate system modules across the robotics stack, including sensor interfaces, vehicle interfaces, localization inputs, diagnostics, logging, mission execution, communication systems, and safety-related components.
• Develop and validate sensor drivers and vehicle interfaces for Ethernet, CAN, serial, and other communication-based devices.
• Support system bring-up activities such as software deployment, launch configuration, parameter setup, network configuration, hardware–software integration, and readiness checks.
• Verify software versions, configuration packages, calibration data, launch files, runtime parameters, and release builds prior to testing or field operation.
• Utilize ROS2 or similar middleware to validate topics, services, actions, parameters, coordinate frames (TF), diagnostics, lifecycle states, and inter-module communication.
• Assist with sensor calibration, frame validation, timestamp verification, parameter tuning, and data quality assessment.
• Maintain containerized environments using tools such as Docker for development and deployment.
• Support build pipelines, release validation, software packaging, configuration management, and automated deployment processes.
• Conduct integration testing, regression testing, benchmarking, and troubleshooting across sensors, communication links, vehicle interfaces, compute platforms, and software modules.
• Analyze system logs, ROS bag data, topic streams, CAN traces, network traffic, diagnostics, and runtime errors to identify integration issues and perform root-cause analysis.
• Troubleshoot compatibility issues between hardware and software components, including sensors, onboard computers, vehicle interfaces, and communication devices.
• Support field testing by preparing systems, monitoring performance, documenting issues, and coordinating resolution efforts.

Required Skills

• Strong Linux experience, including troubleshooting, system configuration, networking, logging, and deployment.
• Proficiency in C++ and/or Python for debugging, modifying, and validating integration-level software.
• Hands-on experience with ROS2 or similar middleware, including nodes, topics, services, parameters, launch files, diagnostics, and logging.
• Experience integrating robotic sensors such as LiDAR, cameras, GNSS, IMU, radar, or similar systems.
• Practical experience with hardware–software integration across sensors, compute platforms, communication devices, and control systems.
• Familiarity with Ethernet, CAN, serial communication, and network-based device integration.
• Understanding of timing and synchronization concepts such as PTP, NTP, timestamps, sensor alignment, and latency.
• Experience with containerized environments (e.g., Docker), build pipelines, and automated deployment.
• Ability to analyze logs, ROS data, CAN traces, and network activity to diagnose system issues.
• Strong testing and troubleshooting skills, including integration testing, regression testing, benchmarking, and root-cause analysis.

Preferred Skills

• Familiarity with autonomy components such as localization, perception, planning, control, mission execution, diagnostics, and safety monitoring.
• Experience with autonomous vehicles, mobile robots, field robotics, or off-road platforms.
• Exposure to simulation-based validation, HIL/SIL testing, automated regression testing, or benchmarking