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Autonomous Vehicle Engineer Jobs in Utah (NOW HIRING)

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

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 ...

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

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 ...

Autonomous Solutions

AI Embedded Engineer IV

Logan, UT · On-site

$145K - $169K/yr

As an AI Embedded Engineer IV, you own the layer where artificial intelligence (AI) meets the ... autonomy software on heavy equipment, agricultural machinery, construction vehicles, or mobile ...

Autonomous Solutions

AI Embedded Engineer IV

Logan, UT · On-site

$145K - $169K/yr

As an AI Embedded Engineer IV , you own the layer where artificial intelligence (AI) meets the ... autonomy software on heavy equipment, agricultural machinery, construction vehicles, or mobile ...

Autonomous Solutions

AI Embedded Engineer IV

Logan, UT · On-site

$113K - $149K/yr

As an AI Embedded Engineer IV , you own the layer where artificial intelligence (AI) meets the ... autonomy software on heavy equipment, agricultural machinery, construction vehicles, or mobile ...

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Autonomous Vehicle Engineer information

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How much do autonomous vehicle engineer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for autonomous vehicle engineer in Utah is $48.82, according to ZipRecruiter salary data. Most workers in this role earn between $39.38 and $56.68 per hour, depending on experience, location, and employer.

What is an autonomous vehicle engineer?

Autonomous vehicle engineers are professionals who design, develop, test, and implement the technologies that enable vehicles to operate without human intervention. They work on a range of systems, including sensors, artificial intelligence, machine learning algorithms, and control systems to ensure safe and efficient self-driving capabilities. These engineers often collaborate with experts in robotics, software development, and automotive engineering to advance the functionality and reliability of autonomous vehicles.

How do autonomous vehicle engineers typically collaborate with other teams during the development process?

Autonomous Vehicle Engineers often work closely with multidisciplinary teams, including software developers, hardware designers, safety experts, and data scientists. Collaboration is essential, as engineers must integrate sensor data, develop real-time algorithms, and ensure that autonomous systems interact safely with their environment. Regular cross-functional meetings, code reviews, and joint testing sessions are common practices to align on project goals and solve complex challenges. Effective communication skills are crucial, as engineers frequently translate technical requirements between different teams to ensure a cohesive final product.

What are the key skills and qualifications needed to thrive as an autonomous vehicle engineer, and why are they important?

To thrive as an Autonomous Vehicle Engineer, you need a strong background in robotics, computer science, and electrical or mechanical engineering, often supported by a relevant degree. Proficiency in programming languages like C++, Python, and ROS, as well as experience with sensor fusion, machine learning, and simulation tools, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help engineers navigate complex challenges and collaborate across multidisciplinary teams. These skills and qualities are crucial to ensure the safe, innovative, and effective development of autonomous vehicle systems.

What are popular job titles related to Autonomous Vehicle Engineer jobs in Utah?

For Autonomous Vehicle Engineer jobs in Utah, the most frequently searched job titles are:

What job categories do people searching Autonomous Vehicle Engineer jobs in Utah look for?

The top searched job categories for Autonomous Vehicle Engineer jobs in Utah are:

Autonomous Vehicle Engineer jobs near you
Infographic showing various Autonomous Vehicle Engineer job openings in Utah as of August 2026, with employment types broken down into 58% Full Time, 39% Part Time, and 3% Contract. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $101,554 per year, or $48.8 per hour.

Perception Engineer IV

Autonomous Solutions

Mendon, UT • On-site

$128K - $169K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Job description

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

BENEFITS
ASI offers a comprehensive benefits package, including:
  • 401k with employer match
  • Generous HSA contribution
  • Employee Stock Ownership Plan
  • PTO, paid holidays, and flextime
  • ASI covers 90% of employee medical plan costs

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.
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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