Perception Engineer IV

Job Summary

The Perception Engineer IV develops and advances perception systems that enable ASI's autonomous logistics vehicles to understand their surroundings, detect and track objects, identify navigable space, and operate safely in dynamic material-handling environments. This role works with cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other sensing technologies to support object detection, environmental modeling, localization, obstacle avoidance, and autonomous task execution.

As a Level IV engineer within ASI's five-level engineering structure, this position independently leads complex perception features and subsystem initiatives from technical definition through integration and validation. The role influences perception architecture, resolves difficult cross-system problems, and provides technical guidance to other engineers while collaborating closely with GNC, embedded software, systems, test, and field operations teams. Broader platform strategy and organization-wide technical direction remain aligned with engineering leadership and Level V technical authorities.

• Design, develop, integrate, and validate advanced perception algorithms for autonomous logistics and material-handling applications
• Lead complex perception features involving object detection, classification, segmentation, tracking, obstacle detection, free-space identification, and environmental understanding
• Develop perception capabilities for detecting vehicles, equipment, personnel, pallets, containers, racks, structures, loading areas, and other operational objects
• Process and fuse data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, encoders, and other vehicle systems
• Develop environmental models that support safe navigation, route planning, docking, alignment, loading, unloading, and material-movement workflows
• Lead defined perception work streams from requirements development through architecture, implementation, integration, testing, and release
• Contribute to perception architecture and technical design decisions for autonomous logistics platforms
• Establish technical approaches, performance metrics, and acceptance criteria for complex perception capabilities
• Integrate perception software with ASI's autonomous vehicle platforms, embedded computing systems, and supporting autonomy software
• Evaluate perception performance using recorded datasets, simulation, software-in-the-loop testing, hardware-in-the-loop testing, and full-vehicle field validation
• Analyze large datasets to identify false detections, missed detections, tracking failures, environmental limitations, and system-level edge cases
• Develop and improve automated workflows for data collection, labeling, replay, regression testing, visualization, and performance analysis
• Lead troubleshooting of complex issues involving sensor calibration, timing, synchronization, coordinate transformations, vehicle movement, computing performance, and system integration
• Guide sensor selection, placement, mounting, configuration, calibration, and validation activities
• Optimize perception algorithms for real-time execution on embedded CPUs, GPUs, and other computing platforms
• Collaborate with GNC engineers to ensure perception outputs support safe navigation, motion planning, obstacle avoidance, and task execution
• Partner with systems engineers to define interfaces, requirements, failure responses, and operational constraints for perception subsystems
• Work with test engineers and field testers to develop comprehensive validation scenarios for logistics environments
• Investigate difficult field failures and lead the development and verification of corrective actions
• Conduct design reviews and code reviews while providing technical feedback to other engineers
• Mentor less-experienced engineers and support improvements to engineering practices, development tools, and team standards
• Communicate technical risks, limitations, findings, and recommendations to engineering teams and leadership
• Document algorithms, architectures, interfaces, assumptions, test results, technical decisions, and known system limitations
• Support customer demonstrations, field deployments, acceptance testing, and troubleshooting activities as required

• Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical field
• Typically eight or more years of experience developing perception, computer vision, robotics, machine learning, sensor-fusion, or autonomous-system software
• Advanced proficiency in C++ and Python
• Demonstrated experience independently developing and delivering complex perception features for robotic or autonomous systems
• Strong experience with computer vision, point-cloud processing, sensor fusion, object tracking, or machine-learning algorithms
• Experience working with cameras, LiDAR, radar, GPS/GNSS, inertial sensors, or other robotic sensing technologies
• Strong…