1

Robotics Perception Engineer Jobs in Utah (NOW HIRING)

Perception Engineer IV

Mendon, UT ยท On-site

$128K - $169K/yr

... Engineering, Robotics, Mathematics, or a related technical fieldTypically eight or more years of experience developing perception, computer vision, robotics, machine learning, sensor-fusion, or ...

Perception Engineer IV

Mendon, UT ยท On-site

$128K - $169K/yr

JOB SUMMARY The Perception Engineer IV develops and advances perception systems that enable ASI ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics ...

JOB SUMMARY The Perception Engineer IV develops and advances perception systems that enable ASI ... Bachelor's degree in Computer Science, Computer Engineering, Electrical Engineering, Robotics ...

Robot Chief Engineer

Mendon, UT ยท On-site

$110 - $160/hr

Own overall robot-level engineering integration across software, controls, perception, autonomy, electrical, hydraulic, mechanical, and systems engineering disciplines. * Lead multidisciplinary ...

Robot Chief Engineer

Mendon, UT ยท On-site

$189K - $221K/yr

Own overall robot-level engineering integration across software, controls, perception, autonomy, electrical, hydraulic, mechanical, and systems engineering disciplines. * Lead multidisciplinary ...

Own overall robot-level engineering integration across software, controls, perception, autonomy, electrical, hydraulic, mechanical, and systems engineering disciplines. * Lead multidisciplinary ...

Robot Chief Engineer

Mendon, UT ยท On-site

$189K - $221K/yr

Own overall robot-level engineering integration across software, controls, perception, autonomy, electrical, hydraulic, mechanical, and systems engineering disciplines.Lead multidisciplinary ...

next page

Showing results 1-20

Robotics Perception Engineer information

What is a robotics perception engineer?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

What is the difference between Robotics Perception Engineer vs Computer Vision Engineer?

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are some common challenges faced by robotics perception engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

What are the key skills and qualifications needed to thrive as a robotics perception engineer?

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.
What cities in Utah are hiring for Robotics Perception Engineer jobs? Cities in Utah with the most Robotics Perception Engineer job openings:
Infographic showing various Robotics Perception Engineer job openings in Utah as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.

Perception Engineer IV

Autonomous Solutions

Mendon, UT โ€ข On-site

$128K - $169K/yr

Full-time

Medical, Retirement

Re-posted 14 days ago


Job description

JOB SUMMARYThe 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 RESPONSIBILITIESDesign, develop, integrate, and validate advanced perception algorithms for autonomous logistics and material-handling applicationsLead complex perception features involving object detection, classification, segmentation, tracking, obstacle detection, free-space identification, and environmental understandingDevelop perception capabilities for detecting vehicles, equipment, personnel, pallets, containers, racks, structures, loading areas, and other operational objectsProcess and fuse data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, encoders, and other vehicle systemsDevelop environmental models that support safe navigation, route planning, docking, alignment, loading, unloading, and material-movement workflowsLead defined perception workstreams from requirements development through architecture, implementation, integration, testing, and releaseContribute to perception architecture and technical design decisions for autonomous logistics platformsEstablish technical approaches, performance metrics, and acceptance criteria for complex perception capabilitiesIntegrate perception software with ASI's autonomous vehicle platforms, embedded computing systems, 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, 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 activitiesOptimize 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, and task executionPartner 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 logistics 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, 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, 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 logistics vehicles, material-handling equipment, industrial vehicles, mobile robots, or heavy equipmentFamiliarity with warehouse, yard, distribution-center, manufacturing, loading, unloading, or material-movement workflowsExperience with OpenCV, Point Cloud Library, PyTorch, TensorFlow, CUDA, TensorRT, or similar technologiesExperience developing machine-learning solutions for detection, segmentation, classification, depth 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 testingExperience with docking, alignment, pallet detection, container detection, load identification, or precision positioning applicationsFamiliarity with functional safety principles and validation practices for autonomous or safety-critical systemsExperience validating autonomous systems in industrial, indoor, outdoor, low-light, high-traffic, dusty, or weather-exposed environmentsBENEFITSASI offers a comprehensive benefits package, including:401k with employer matchGenerous HSA contributionEmployee Stock Ownership PlanPTO, 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 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.
Job Posted by ApplicantPro