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Gnss Inertial Navigation Jobs in Utah (NOW HIRING)

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

... GNSS, inertial sensors, encoders, and other vehicle systemsDevelop environmental models that support safe navigation, route planning, docking, alignment, loading, unloading, and material-movement ...

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

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 ...

Perception Engineer IV

Mendon, UT · On-site

$100 - $130/hr

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 ...

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 ...

Gnss Inertial Navigation information

What is a GNSS inertial navigation specialist?

A GNSS Inertial Navigation specialist is a professional who works with systems that combine Global Navigation Satellite Systems (GNSS) like GPS with inertial navigation sensors to determine precise positioning and movement. These specialists design, implement, and troubleshoot integrated navigation solutions used in applications such as aviation, autonomous vehicles, surveying, and geospatial mapping. Their expertise ensures reliable navigation even when satellite signals are weak or unavailable by leveraging inertial measurement units (IMUs) to fill in gaps. They often analyze data, calibrate sensors, and optimize system performance for accuracy and reliability.

What are the key skills and qualifications needed to thrive as a GNSS inertial navigation engineer?

To excel as a GNSS Inertial Navigation Engineer, you need a strong background in electrical engineering, physics, or related fields, with expertise in navigation algorithms and sensor fusion. Familiarity with GNSS receivers, inertial measurement units (IMUs), simulation software (like MATLAB or Simulink), and programming languages such as C/C++ or Python is typically required. Analytical thinking, problem-solving, and effective communication are essential soft skills for addressing complex technical challenges and collaborating across multidisciplinary teams. These competencies ensure the development of robust and accurate navigation systems critical for applications in aerospace, automotive, and defense industries.

What are some common challenges faced by professionals working in GNSS inertial navigation roles, and how can they be addressed?

Professionals in GNSS/Inertial Navigation roles often face challenges such as signal interference, multipath errors, and maintaining accuracy in environments where satellite signals are weak or obstructed (e.g., urban canyons, tunnels). Addressing these challenges typically involves integrating advanced sensor fusion algorithms, regularly calibrating inertial measurement units (IMUs), and collaborating closely with hardware and software engineering teams to enhance system robustness. Continuous learning and staying updated with the latest advancements in GNSS and sensor technology are also key to overcoming these obstacles and ensuring reliable navigation solutions.

What is the difference between Gnss Inertial Navigation vs Geospatial Data Analyst?

AspectGnss Inertial NavigationGeospatial Data Analyst
Required CredentialsEngineering degree, specialized training in navigation systemsGeography, GIS, or related degree, data analysis certifications
Work EnvironmentField testing, engineering labs, R&D facilitiesOffice, GIS labs, remote sensing environments
Industry UsageAerospace, defense, autonomous vehiclesUrban planning, environmental management, mapping
Search & Comparison IntentTechnical, engineering-focusedData analysis, mapping, GIS applications

Gnss Inertial Navigation specialists focus on developing and maintaining navigation systems that combine satellite signals with inertial sensors, primarily in engineering and technical environments. In contrast, Geospatial Data Analysts interpret spatial data for mapping and planning. While both roles involve geospatial technology, their skills, tools, and industry applications differ significantly.

What job categories do people searching Gnss Inertial Navigation jobs in Utah look for?

The top searched job categories for Gnss Inertial Navigation jobs in Utah are:

Perception Engineer IV

Autonomous Solutions

Mendon, UT • On-site

$128K - $169K/yr

Full-time

Medical, Retirement

Re-posted 28 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.
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