Field Test Engineer (m/f/d)
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Key skills for this role
About the Role
Halian is seeking an experienced Field Test & Integration Engineer to support validation and deployment of an autonomous ground robotics platform. The role involves systems integration, sensor calibration, field testing, and technical reporting.
Key Skills for This Role
Responsibilities
- Design and develop test plans, field campaigns, protocols, and acceptance criteria based on system requirements
- Execute end to end testing of hardware, software, and integrated subsystems in controlled and real world environments
- Monitor and capture system performance metrics including navigation accuracy, localization drift, obstacle avoidance, path tracking, and system stability
- Support hardware software integration activities including subsystem bring up, sensor integration, and onboard compute configuration
- Perform intrinsic and extrinsic calibration of sensors including LiDAR, cameras, IMU, and GNSS/GPS using standard toolchains
- Tune navigation and control parameters such as velocity profiles, waypoint tracking gains, costmaps, and recovery behaviors
- Operate and maintain robotic platforms and supporting equipment in diverse field environments
- Produce structured test reports including objectives, methodologies, results, defect summaries, and engineering recommendations
Requirements
- Bachelor’s or Master’s degree in Robotics, Mechatronics, Electrical Engineering, Computer Science, or related field
- 8+ years of experience in testing autonomous systems, robotics platforms, or complex integrated hardware/software systems
- Hands on experience with ROS/ROS2 (topic inspection, launch configuration, bag recording/replay)
- Proven experience in sensor calibration (intrinsic, extrinsic, and temporal)
- Practical experience tuning navigation, perception, or control systems
- Strong understanding of autonomous system architecture (perception, localization, mapping, planning, control)
- Proficiency in Python and Bash for scripting, data analysis, and log processing
- Strong written communication skills with ability to produce structured technical documentation
- Solid understanding of safety principles and field operation protocols
- Willingness and ability to travel to remote field locations
Full Job Posting
Role Overview
- An experienced Field Test & Integration Engineer is required to support validation and deployment of an autonomous ground robotics platform.
- The role spans the full validation lifecycle including systems integration, sensor calibration, parameter tuning, structured field testing, and technical reporting.
- The ideal candidate combines strong hands on technical capability with field experience and is comfortable configuring ROS launch files, performing LiDAR camera calibration, executing test campaigns, and producing structured technical reports.
Key Responsibilities
- Design and develop test plans, field campaigns, protocols, and acceptance criteria based on system requirements and operational scenarios.
- Execute end to end testing of hardware, software, and integrated subsystems in both controlled and real world environments.
- Monitor and capture system performance metrics including navigation accuracy, localization drift, obstacle avoidance, path tracking, and overall system stability.
- Maintain accurate test logs, execution records, and traceability within test management systems.
- Ensure all testing activities comply with safety standards and operational protocols.
- Support hardware software integration activities including subsystem bring up, sensor integration, and onboard compute configuration.
- Validate system interfaces and communication protocols (ROS1/ROS2 topics, services, actions; CAN bus; serial; Ethernet).
- Verify hardware connections, driver functionality, and data pipeline integrity during integration of sensors and actuators.
- Execute integration and regression testing following system updates or component changes.
- Reproduce, document, and track integration defects with clear logs, system states, and replication steps.
- Perform intrinsic and extrinsic calibration of sensors including LiDAR, cameras (monocular, stereo, RGB D), IMU, and GNSS/GPS using standard toolchains.
- Validate calibration accuracy through reprojection error analysis and diagnostic evaluation.
Sensor Calibration & System Tuning
- Ensure proper time synchronization across all sensors and compute systems for accurate sensor fusion.
- Tune navigation and control parameters such as velocity profiles, waypoint tracking gains, costmaps, and recovery behaviors.
- Validate SLAM initialization, mapping consistency, loop closure performance, and localization stability across environments.
- Maintain detailed calibration records and parameter version control for traceability.
Field Operations & Equipment Management
- Operate and maintain robotic platforms and supporting equipment in diverse field environments (e.g., desert, outdoor, semi structured terrain).
- Conduct pre deployment system checks and diagnose issues before and during operations.
- Monitor live telemetry and diagnostics during testing; safely intervene when anomalies arise.
- Manage field logistics including site setup, safety controls, equipment transport, and post test data retrieval.
Reporting & Continuous Improvement
- Produce structured test reports including objectives, methodologies, results, defect summaries, and engineering recommendations.
- Support release readiness assessments through test coverage analysis, defect tracking, and risk evaluation.
- Provide actionable feedback to engineering teams based on observed system behavior and failure modes.
- Contribute to continuous improvement of validation processes, calibration workflows, and integration practices.
Required Qualifications & Skills
- Bachelor’s or Master’s degree in Robotics, Mechatronics, Electrical Engineering, Computer Science, or a related field.
- 8+ years of experience in testing autonomous systems, robotics platforms, or complex integrated hardware/software systems.
- Hands on experience with ROS/ROS2 (topic inspection, launch configuration, bag recording/replay).
- Proven experience in sensor calibration (intrinsic, extrinsic, and temporal).
- Practical experience tuning navigation, perception, or control systems.
- Strong understanding of autonomous system architecture (perception, localization, mapping, planning, control).
- Proficiency in Python and Bash for scripting, data analysis, and log processing.
- Strong written communication skills with the ability to produce structured technical documentation.
- Solid understanding of safety principles and field operation protocols.
- Willingness and ability to travel to remote field locations.
Preferred
- Experience validating SLAM systems (e.g., Cartographer, RTAB Map, LIO SAM).
- Familiarity with simulation tools such as Gazebo, Isaac Sim, or Unity.
- Experience with test management tools (e.g., Jira, Zephyr, Testmo) and requirements traceability.
- Knowledge of CAN bus and embedded communication protocols.
- Experience working with outdoor or rugged robotic systems.
- Familiarity with functional safety standards (e.g., ISO 26262, IEC 61508).
- Background in verification and validation methodologies or formal release processes.
- Prior contract or consulting experience within robotics, industrial, or applied research environments.
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