This is a project-based employee role supporting the development, integration, and validation of ASI's autonomous reach stacker platforms. Development phases of this nature typically continue through project completion, often spanning two to four years, although scope and duration are determined by business and customer needs.JOB SUMMARYThe Perception Engineer III develops and advances perception systems that enable ASI's autonomous reach stackers to understand container-yard environments, detect and track surrounding objects, identify containers and stacking locations, and safely perform material-handling operations. This role works with cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other sensing technologies to support environmental awareness, container detection, equipment tracking, precision alignment, obstacle avoidance, and autonomous task execution.As a Level III engineer within ASI's five-level engineering structure, this position independently leads complex perception features and subsystem initiatives from technical definition through integration and field validation. The role influences perception architecture, resolves difficult cross-system problems, and provides technical guidance to other engineers while collaborating 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 IV technical authorities.ESSENTIAL DUTIES AND RESPONSIBILITIESDesign, develop, integrate, and validate advanced perception algorithms for autonomous reach stacker applicationsLead complex perception features involving object detection, classification, segmentation, tracking, obstacle detection, free-space identification, and environmental modelingDevelop capabilities for detecting and tracking shipping containers, trucks, trailers, chassis, reach stackers, personnel, buildings, fences, and other yard objectsDevelop perception solutions that support container identification, stack-position recognition, pickup and placement verification, and precision vehicle alignmentProcess and fuse data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, encoders, and other vehicle systemsDevelop environmental models that support navigation, motion planning, container handling, stacking, loading, unloading, and yard-management workflowsLead defined perception workstreams from requirements development through architecture, implementation, integration, testing, and releaseContribute to perception architecture and technical design decisions for autonomous reach stacker platformsEstablish technical approaches, performance metrics, and acceptance criteria for complex perception capabilitiesIntegrate perception software with autonomous vehicle platforms, embedded computing systems, vehicle interfaces, and supporting autonomy softwareEvaluate perception performance using recorded datasets, simulation, software-in-the-loop testing, hardware-in-the-loop testing, and full-vehicle field validationAnalyze large datasets to identify false detections, missed detections, tracking failures, alignment errors, environmental limitations, and system-level edge casesDevelop and improve automated workflows for data collection, labeling, replay, regression testing, visualization, and performance analysisLead troubleshooting of complex issues involving sensor calibration, timing, synchronization, coordinate transformations, vehicle movement, computing performance, and system integrationGuide sensor selection, placement, mounting, configuration, calibration, and validation activities on reach stacker platformsOptimize perception algorithms for real-time execution on embedded CPUs, GPUs, and other computing platformsCollaborate with GNC engineers to ensure perception outputs support safe navigation, motion planning, obstacle avoidance, container approach, and precision positioningPartner with systems engineers to define interfaces, requirements, failure responses, and operational constraints for perception subsystemsWork with test engineers and field testers to develop comprehensive validation scenarios for container yards and intermodal environmentsInvestigate difficult field failures and lead the development and verification of corrective actionsConduct design reviews and code reviews while providing technical feedback to other engineersMentor less-experienced engineers and support improvements to engineering practices, development tools, and team standardsCommunicate technical risks, system limitations, findings, and recommendations to engineering teams and leadershipDocument algorithms, architectures, interfaces, assumptions, test results, technical decisions, and known system limitationsSupport customer demonstrations, field deployments, acceptance testing, and troubleshooting activities as requiredESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLSBachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or a related technical fieldTypically eight or more years of experience developing perception, computer vision, robotics, machine learning, sensor-fusion, or autonomous-system softwareAdvanced proficiency in C++ and PythonDemonstrated experience independently developing and delivering complex perception features for robotic or autonomous systemsStrong experience with computer vision, point-cloud processing, sensor fusion, object tracking, environmental modeling, or machine-learning algorithmsExperience working with cameras, LiDAR, radar, GPS/GNSS, inertial sensors, or other robotic sensing technologiesStrong understanding of coordinate systems, geometric transformations, sensor calibration, data synchronization, and three-dimensional geometryExperience designing software interfaces and integrating perception components into complex hardware and software systemsExperience developing and optimizing real-time software for embedded or constrained computing platformsAdvanced experience working in Linux-based software-development environmentsExperience with ROS, ROS2, or comparable robotics middlewareExperience developing production-quality software using version control, peer review, automated testing, continuous integration, and configuration-management practicesAbility to define meaningful performance metrics and use large datasets to evaluate perception-system performanceDemonstrated ability to diagnose and resolve complex software, sensor, computing, and system-integration issuesAbility to provide technical guidance and constructive feedback to other engineersStrong analytical, debugging, and technical problem-solving skillsStrong written and verbal communication skillsAbility to work effectively with engineering, operations, customer-facing, and field-testing teamsPREFERRED QUALIFICATIONSMaster's degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related disciplineExperience developing perception systems for autonomous reach stackers, container-handling equipment, industrial vehicles, heavy equipment, or mobile robotsFamiliarity with container yards, ports, intermodal terminals, distribution centers, or material-handling operationsExperience with container detection, identification, pose estimation, stack-position recognition, or precision alignment applicationsFamiliarity with reach stacker spreaders, twistlocks, container pickup and placement, stacking workflows, or chassis-handling operationsExperience with OpenCV, Point Cloud Library, PyTorch, TensorFlow, CUDA, TensorRT, or similar technologiesExperience developing machine-learning solutions for detection, segmentation, classification, depth estimation, pose estimation, or trackingExperience with LiDAR point-cloud registration, filtering, clustering, mapping, and object detectionExperience with multi-object tracking, occupancy grids, free-space detection, semantic mapping, or environmental modelingFamiliarity with Kalman filtering, Bayesian estimation, probabilistic robotics, or other sensor-fusion methodsExperience optimizing software for GPUs, embedded computers, or real-time systemsExperience with simulation, recorded-data replay, software-in-the-loop testing, and hardware-in-the-loop testingFamiliarity with functional safety principles and validation practices for autonomous or safety-critical systemsExperience validating autonomous systems in industrial, outdoor, low-light, high-traffic, dusty, or weather-exposed environmentsBENEFITSASI offers a comprehensive benefits package, including:401k with employer matchGenerous HSA contributionPTO, paid holidays, and flextimeASI covers 90% of employee medical plan costsAt Autonomous Solutions, Inc. (ASI), we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. ASI complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.This is a full-time, project-based employment opportunity.Your employment with ASI will be "at will," meaning that either you or ASI may terminate your employment at any time for any lawful reason, with or without cause or advance notice.
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