About this opportunity
Autonomous Solutions, Inc lists this Perception Engineer IV - Contract opportunity in mendon, Utah. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Description
ASI is expanding its teams to support its current ramp-up across development work, customer projects, and product deployments. This is a full-time W-2 contract position. The selected candidate will interview with ASI and work as an integrated member of the ASI team. W-2 employment, payroll, and benefits will be administered through one of ASI's staffing partners. Development phases of this nature typically span up to project completion (typically 2-4 years), though scope and duration are driven by business needs.
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.
ESSENTIAL DUTIES AND RESPONSIBILITIES
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 workstreams 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
ESSENTIAL EDUCATION, WORK EXPERIENCE, JOB SKILLS
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 understanding of coordinate systems, geometric transformations, sensor calibration, data synchronization, and three-dimensional geometry
Experience designing software interfaces and integrating perception components into complex hardware and software systems
Experience developing and optimizing real-time software for embedded or constrained computing platforms
Advanced experience working in Linux-based software-development environments
Experience with ROS, ROS2, or comparable robotics middleware
Experience developing production-quality software using version control, peer review, automated testing, continuous integration, and configuration-management practices
Ability to define meaningful performance metrics and use large datasets to evaluate perception-system performance
Demonstrated ability to diagnose and resolve complex software, sensor, computing, and system-integration issues
Ability to provide technical guidance and constructive feedback to other engineers
Strong analytical, debugging, and technical problem-solving skills
Strong written and verbal communication skills
Ability to work effectively with engineering, operations, customer-facing, and field-testing teams
PREFERRED QUALIFICATIONS
Master's degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related discipline
Experience developing perception systems for autonomous logistics vehicles, material-handling equipment, industrial vehicles, mobile robots, or heavy equipment
Familiarity with warehouse, yard, distribution-center, manufacturing, loading, unloading, or material-movement workflows
Experience with OpenCV, Point Cloud Library, PyTorch, TensorFlow, CUDA, TensorRT, or similar technologies
Experience developing machine-learning solutions for detection, segmentation, classification, depth estimation, or tracking
Experience with LiDAR point-cloud registration, filtering, clustering, mapping, and object detection
Experience with multi-object tracking, occupancy grids, free-space detection, semantic mapping, or environmental modeling
Familiarity with Kalman filtering, Bayesian estimation, probabilistic robotics, or other sensor-fusion methods
Experience optimizing software for GPUs, embedded computers, or real-time systems
Experience with simulation, recorded-data replay, software-in-the-loop testing, and hardware-in-the-loop testing
Experience with docking, alignment, pallet detection, container detection, load identification, or precision positioning applications
Familiarity with functional safety principles and validation practices for autonomous or safety-critical systems
Experience validating autonomous systems in industrial, indoor, outdoor, low-light, high-traffic, dusty, or weather-exposed environments
At 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.
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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Worksite address
mendon, UT, 84325, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.