Perception Engineer IV - Contract

Autonomous Solutions, Inc; Mendon (UT); On-site; USD 130,000 - 190,000; Full time

Job summary

Autonomous Solutions, Inc. (ASI) in Utah seeks a Perception Engineer IV to advance perception systems for autonomous logistics vehicles.

You will work with cameras, LiDAR, GPS, and embedded platforms to enable object detection, environmental modeling, and safe navigation. As a Level IV engineer, you will lead complex perception features, influence architecture, mentor engineers, and coordinate with GNC, embedded software, systems, and field teams to drive production-quality perception

Qualifications

• 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

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

Skills

C++

Python

ROS/ROS2

Embedded software

Linux

Sensor fusion

Computer vision

Perception algorithms

Education

Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics, Mathematics, or related field

Master's degree in related discipline (preferred)

Tools

ROS

OpenCV

CUDA

TensorRT

Point Cloud Library (PCL)

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.