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Technical Support Engineer Jobs in Logan, UT (NOW HIRING)

ELITechGroup Inc.

Bioengineering Intern

Logan, UT · On-site

$13 - $17.25/hr

Provides scientific and technical support to production, manufacturing engineering, purchasing, service and customer applications support functions, under the guidance of experienced professionals.

ELITechGroup Inc.

Bioengineering Intern

Logan, UT · On-site

$13 - $17.25/hr

Provides scientific and technical support to production, manufacturing engineering, purchasing, service and customer applications support functions, under the guidance of experienced professionals.

Epoch BioSciences

Bioengineering Intern

Logan, UT

$13 - $17.25/hr

Provides scientific and technical support to production, manufacturing engineering, purchasing, service and customer applications support functions, under the guidance of experienced professionals.

Danaher

Manufacturing Engineer

Logan, UT

$63K - $81K/yr

... technical issues, and implements sustainable solutions using engineering and Lean principles ... Provide day-to-day engineering support to a manufacturing value stream, proactively addressing ...

Electric Power Systems

Mechanical Engineer

Logan, UT · On-site

This position is open at the Level III or Level IV depending on experience, technical depth, and ... R)Support environmental qualification testing (shock, vibration, thermal, altitude)Optimize ...

Danaher

Manufacturing Engineer

Logan, UT · On-site

$63K - $81K/yr

... technical issues, and implements sustainable solutions using engineering and Lean principles ... Provide day-to-day engineering support to a manufacturing value stream, proactively addressing ...

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Technical Support Engineer information

See Logan, UT salary details

$32.3K

$68.2K

$103.1K

How much do technical support engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for technical support engineer in Logan, UT is $68,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,000.00 and $85,000.00 per year, depending on experience, location, and employer.

What is a technical support engineer?

Technical support engineers work with companies to solve technical issues within their computer systems. As a technical support engineer, you troubleshoot computer hardware and software issues with employees. You work to resolve the problems and try to prevent them from happening again. Some technical support engineers work primarily over the phone or computer, guiding the staff to fix the problems remotely. For more substantial issues, technical support engineers may travel to the client’s office to resolve the issue in person.

What does a technical support engineer do?

A Technical Support Engineer helps customers and clients troubleshoot and resolve technical issues related to products or services. They provide assistance via phone, email, chat, or in person, and may also guide users through installation, configuration, and maintenance processes. In addition to solving immediate problems, Technical Support Engineers often document solutions, escalate complex issues, and work with development or engineering teams to resolve deeper technical challenges. Their goal is to ensure customer satisfaction by delivering effective and timely support.

What are the key skills and qualifications needed to thrive as a technical support engineer?

To thrive as a Technical Support Engineer, you need a strong foundation in troubleshooting, computer networking, and system diagnostics, often supported by a degree in IT or computer science. Familiarity with ticketing systems, remote desktop tools, and certifications like CompTIA A+ or Microsoft Certified Solutions Expert (MCSE) are commonly required. Excellent communication, patience, and problem-solving abilities help you resolve issues effectively and build positive customer relationships. These skills ensure timely resolution of technical problems, customer satisfaction, and smooth operation of technology systems.

How does a technical support engineer typically collaborate with other departments to resolve complex customer issues?

Technical Support Engineers frequently work cross-functionally with teams such as development, quality assurance, and product management to resolve complex technical problems. When an issue cannot be resolved through standard troubleshooting, engineers escalate cases and share detailed findings with these departments. This collaboration ensures that customer feedback is communicated, bugs are addressed, and permanent solutions are implemented. Regular meetings and clear documentation are essential for smooth teamwork and successful problem resolution.
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What cities near Logan, UT are hiring for Technical Support Engineer jobs?

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Technical Support Engineer jobs near you
Infographic showing various Technical Support Engineer job openings in Logan, UT as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 23% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $68,173 per year, or $32.8 per hour.

Perception Engineer III - Project Based

Autonomous Solutions/A S I

Mendon, UT • On-site

Other

Medical, Retirement, PTO

Posted 4 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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