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Radar Engineer Jobs in Utah (NOW HIRING)

LVT

Sensor Integration Engineer II

American Fork, UT · On-site

$93K - $125K/yr

ABOUT THIS ROLE As a Sensor Integration Engineer II, you'll own the setup, configuration, testing ... You'll lead qualification across diverse sensor types--PTZ cameras, radar, thermal detection, and ...

LVT

Sensor Integration Engineer II

American Fork, UT · On-site

$93K - $125K/yr

ABOUT THIS ROLE As a Sensor Integration Engineer II, you'll own the setup, configuration, testing ... You'll lead qualification across diverse sensor types-PTZ cameras, radar, thermal detection, and ...

Raytheon

Senior GPS Subsystems Engineer

Provo, UT

$101K - $132K/yr

Our core electrical engineering technologies include RF/RADAR, Navigation/IMU/GPS, Digital, and Power. We partner with several Electrical Product Team departments that provide the detailed design of ...

Raytheon

Principal GPS Subsystem Engineer

Provo, UT

$131K - $160K/yr

Our core electrical engineering technologies include RF/RADAR, Navigation/IMU/GPS, Digital, and Power. We partner with several Electrical Product Team departments that provide the detailed design of ...

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

This role works with cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other sensing ... As a Level IV engineer within ASI's five-level engineering structure, this position independently ...

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All JobsRadar Engineer JobsRadar Engineer Jobs in Utah

Radar Engineer information

See Utah salary details

$70.1K

$73.3K

$75.6K

How much do radar engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for radar engineer in Utah is $73,284.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,900.00 and $74,600.00 per year, depending on experience, location, and employer.

What does a radar engineer do?

A radar engineer works to design, enhance, or test the accuracy of radar systems. In this career, your duties vary depending on the industry. You may develop radar for weather forecast or tracking purposes, or you could work for the military or a private company in the defense industry. Regardless of your employer, your responsibilities as a radar engineer focus on the technical aspects of a radar system, such as testing of sensor instrument devices or the creation of an algorithm to continuously ensure accuracy and give users control of how they view the system’s data.

What does a radar engineer do?

A Radar Engineer designs, develops, tests, and maintains radar systems used for detecting and tracking objects such as aircraft, ships, or weather formations. They work with both hardware and software components to ensure radar systems function accurately and reliably. Their responsibilities often include signal processing, system integration, and troubleshooting technical issues. Radar Engineers are employed in industries such as defense, aerospace, meteorology, and automotive safety systems.

How much would a radar engineer make?

Radar engineers typically earn a median annual salary of around $100,000, with salaries ranging from approximately $70,000 to over $130,000 depending on experience, education, and location. Advanced skills in signal processing, systems design, and security clearances can lead to higher compensation.

What are some typical challenges radar engineers face when working on new radar system designs?

Radar Engineers often encounter challenges such as balancing performance requirements with size, weight, and power constraints, especially when designing systems for aerospace or defense applications. Integrating the latest signal processing techniques while ensuring system reliability and meeting strict regulatory standards can also be complex. Additionally, Radar Engineers regularly collaborate with multidisciplinary teams—including software developers, hardware engineers, and project managers—to troubleshoot issues and implement innovative solutions throughout the development cycle.

What are the key skills and qualifications needed to thrive as a radar engineer, and why are they important?

To thrive as a Radar Engineer, you need a solid background in electrical engineering, signal processing, and electromagnetics, usually supported by a relevant engineering degree. Familiarity with simulation software (like MATLAB or CST), hardware testing tools, and industry-specific certifications such as those from IEEE are commonly required. Strong analytical thinking, problem-solving, and effective teamwork distinguish top performers in this role. These skills are crucial for designing, optimizing, and troubleshooting radar systems that meet stringent performance and safety standards.

What is the difference between Radar Engineer vs RF Engineer?

AspectRadar EngineerRF Engineer
Required CredentialsBachelor's or higher in Electrical Engineering, specialized training in radar systemsBachelor's or higher in Electrical or Electronics Engineering, RF design certifications
Work EnvironmentDefense, aerospace, military, or research labsTelecommunications, wireless, consumer electronics industries
Industry UsageDesign and development of radar systems and sensorsDesign and testing of radio frequency components and systems

Radar Engineers focus on designing and developing radar systems used in defense, aerospace, and research. RF Engineers work on radio frequency components for wireless and communication devices. While both roles require knowledge of RF principles, Radar Engineers specialize in radar-specific technologies, whereas RF Engineers have a broader focus on RF systems across various industries.

More about Radar Engineer jobs

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The most popular types of Radar Engineer jobs in Utah are:

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

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

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For Radar Engineer jobs in UT, the most frequently searched job titles are:

Radar Engineer jobs near you
Infographic showing various Radar Engineer job openings in Utah as of August 2026, with employment types broken down into 90% Full Time, 5% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $73,284 per year, or $35.2 per hour.

Perception Engineer III - Project Based

Autonomous Solutions

Mendon, UT • On-site

$109K - $144K/yr

Temporary

Medical, Retirement, PTO

Re-posted 16 days ago

Job description

This is a project-based employee role supporting the development, integration, and validation of ASI's autonomous reach stacker platforms. Development phases of this nature typically continue through project completion, often spanning two to four years, although scope and duration are determined by business and customer needs.
JOB SUMMARY
The Perception Engineer III develops and advances perception systems that enable ASI's autonomous reach stackers to understand container-yard environments, detect and track surrounding objects, identify containers and stacking locations, and safely perform material-handling operations. This role works with cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other sensing technologies to support environmental awareness, container detection, equipment tracking, precision alignment, obstacle avoidance, and autonomous task execution.
As a Level III engineer within ASI's five-level engineering structure, this position independently leads complex perception features and subsystem initiatives from technical definition through integration and field validation. The role influences perception architecture, resolves difficult cross-system problems, and provides technical guidance to other engineers while collaborating 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 IV technical authorities.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Design, develop, integrate, and validate advanced perception algorithms for autonomous reach stacker applications
  • Lead complex perception features involving object detection, classification, segmentation, tracking, obstacle detection, free-space identification, and environmental modeling
  • Develop capabilities for detecting and tracking shipping containers, trucks, trailers, chassis, reach stackers, personnel, buildings, fences, and other yard objects
  • Develop perception solutions that support container identification, stack-position recognition, pickup and placement verification, and precision vehicle alignment
  • Process and fuse data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, encoders, and other vehicle systems
  • Develop environmental models that support navigation, motion planning, container handling, stacking, loading, unloading, and yard-management 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 reach stacker platforms
  • Establish technical approaches, performance metrics, and acceptance criteria for complex perception capabilities
  • Integrate perception software with autonomous vehicle platforms, embedded computing systems, vehicle interfaces, 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, alignment errors, 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 on reach stacker platforms
  • 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, container approach, and precision positioning
  • 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 container yards and intermodal 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, system 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, environmental modeling, 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 reach stackers, container-handling equipment, industrial vehicles, heavy equipment, or mobile robots
  • Familiarity with container yards, ports, intermodal terminals, distribution centers, or material-handling operations
  • Experience with container detection, identification, pose estimation, stack-position recognition, or precision alignment applications
  • Familiarity with reach stacker spreaders, twistlocks, container pickup and placement, stacking workflows, or chassis-handling operations
  • Experience with OpenCV, Point Cloud Library, PyTorch, TensorFlow, CUDA, TensorRT, or similar technologies
  • Experience developing machine-learning solutions for detection, segmentation, classification, depth estimation, pose 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
  • Familiarity with functional safety principles and validation practices for autonomous or safety-critical systems
  • Experience validating autonomous systems in industrial, 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
  • 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, project-based 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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