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Cybersecurity Engineer Jobs in Logan, UT (NOW HIRING)

The Systems Engineer 3/4 will be responsible for the team's technical execution, standards, workflow processes, and NASA program/project support. The qualified candidate must be able to provide ...

As a Systems Engineer - Level 2 or Level 3 located in Promontory, UT, you'll be a linchpin in missions of paramount importance, defining the art of the possible from day one. The individual selected ...

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Cybersecurity Engineer information

See Logan, UT salary details

$34.9K

$106K

$155.3K

How much do cybersecurity engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for cybersecurity engineer in Logan, UT is $106,004.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,000.00 and $122,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Cybersecurity Engineer, you need a deep understanding of network security, risk assessment, and incident response, often supported by a degree in computer science or information security. Familiarity with security tools such as firewalls, intrusion detection systems, SIEM platforms, and certifications like CISSP or CEH is highly valued. Strong analytical thinking, problem-solving, and effective communication skills help distinguish top candidates in this field. These competencies are crucial for proactively identifying threats, mitigating risks, and ensuring robust protection of organizational data and systems.

What are some common challenges faced by cybersecurity engineers, and how can they be addressed?

Cybersecurity Engineers often face challenges such as staying ahead of rapidly evolving threats, managing complex security infrastructures, and ensuring alignment with organizational compliance requirements. To address these, it's important to engage in continuous learning through industry certifications and training, collaborate closely with IT teams to implement and monitor security measures, and participate in regular security audits. Building strong communication skills also helps in effectively articulating risks and recommendations to non-technical stakeholders.

What is the difference between Cybersecurity Engineer vs Network Security Analyst?

AspectCybersecurity EngineerNetwork Security Analyst
CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, Cisco CCNA Security
Work EnvironmentDesigns and implements security solutions across systems and networksMonitors, analyzes, and responds to network security issues
Employer & Industry UsageTech companies, financial institutions, government agenciesIT departments, cybersecurity firms, enterprise organizations

While both roles focus on protecting digital assets, a Cybersecurity Engineer primarily designs and develops security systems, whereas a Network Security Analyst monitors and responds to security threats within networks. They often work together to ensure comprehensive cybersecurity defenses.

What does a cybersecurity engineer do?

A cybersecurity engineer designs, implements, and maintains security systems to protect computer networks and data from cyber threats. They analyze vulnerabilities, develop security protocols, and use tools like firewalls and intrusion detection systems to prevent breaches. Strong knowledge of network protocols, security standards, and certifications such as CISSP or CEH are often required.

What are popular job titles related to Cybersecurity Engineer jobs in Logan, UT?

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

What job categories do people searching Cybersecurity Engineer jobs in Logan, UT look for?

The top searched job categories for Cybersecurity Engineer jobs in Logan, UT are:

What cities near Logan, UT are hiring for Cybersecurity Engineer jobs?

Cities near Logan, UT with the most Cybersecurity Engineer job openings:

Infographic showing various Cybersecurity Engineer job openings in Logan, UT as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $106,004 per year, or $51 per hour.

Perception Engineer III - Contract

Autonomous Solutions

Mendon, UT • On-site

$109K - $144K/yr

Contractor

Medical, Retirement, PTO

Re-posted 7 days ago


Job description

ASI is expanding its teams to support its current ramp-up across development work, customer projects, and product deployments. This is a full-time W-2 contract position. The selected candidate will interview with ASI and work as an integrated member of the ASI team. W-2 employment, payroll, and benefits will be administered through one of ASI's staffing partners. Development phases of this nature typically span up to project completion (typically 2-4 years), though scope and duration are driven by business needs.
JOB SUMMARY
The Perception Engineer III develops, integrates, and validates perception capabilities that enable ASI's autonomous agricultural equipment to understand field conditions, detect obstacles, identify operational boundaries, and perform assigned tasks safely and effectively. This role works with data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other systems to support object detection, terrain understanding, crop and vegetation awareness, traversability analysis, and autonomous machine operation.
As a Level III engineer within ASI's five-level engineering structure, this position independently contributes to moderately complex perception features and subsystem improvements while receiving guidance on broader architectural and system-level decisions. The role collaborates with GNC, embedded software, systems, test, and field operations teams to improve perception performance across changing terrain, vegetation, lighting, weather, dust, and agricultural operating conditions.
ESSENTIAL DUTIES AND RESPONSIBILITIES
  • Develop, implement, integrate, and validate perception algorithms for autonomous agricultural vehicle applications
  • Contribute to capabilities involving obstacle detection, object classification, tracking, terrain understanding, traversability analysis, and operational-area awareness
  • Process and analyze data from cameras, LiDAR, radar, GPS/GNSS, inertial sensors, and other vehicle systems
  • Support perception of field boundaries, crop rows, vegetation, terrain features, equipment, personnel, animals, and other operational hazards
  • Develop and improve environmental models used to support autonomous navigation, path planning, and agricultural task execution
  • Contribute to multi-sensor fusion solutions that provide reliable environmental awareness in outdoor agricultural environments
  • Own defined perception features and moderately complex assignments from development through integration, testing, and field validation
  • Integrate perception software with ASI's autonomous agricultural platforms and embedded computing systems
  • Evaluate perception performance using recorded datasets, simulation, software-in-the-loop testing, hardware-in-the-loop testing, and full-vehicle field testing
  • Develop measurable performance criteria for assigned perception features and use test results to identify improvement opportunities
  • Analyze field data to identify false detections, missed detections, edge cases, and environmental performance limitations
  • Develop tools and scripts for data processing, visualization, labeling, replay, regression testing, and performance analysis
  • Troubleshoot issues involving sensor calibration, timing, synchronization, coordinate transformations, vehicle movement, and system integration
  • Support sensor selection, placement, mounting, configuration, calibration, and validation activities
  • Improve perception software performance for real-time execution on embedded computing platforms
  • Collaborate with GNC engineers to ensure perception outputs support navigation, path planning, obstacle avoidance, and autonomous task execution
  • Work with test engineers and field testers to develop realistic agricultural test scenarios and reproduce perception-related issues
  • Participate in design reviews, code reviews, sprint planning, and technical investigations
  • Document algorithms, software interfaces, assumptions, test results, technical decisions, and known system limitations
  • Support field deployments, customer demonstrations, 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 five or more years of experience developing perception, computer vision, robotics, machine learning, sensor-fusion, or autonomous-system software
  • Strong proficiency in C++ and Python
  • Experience developing or integrating computer vision, point-cloud processing, sensor-fusion, or machine-learning algorithms
  • Experience working with cameras, LiDAR, radar, GPS/GNSS, or other robotic sensing technologies
  • Understanding of coordinate systems, transformations, sensor calibration, data synchronization, and geometric algorithms
  • 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, and continuous integration practices
  • Ability to analyze large datasets and establish measurable criteria for evaluating algorithm performance
  • Experience troubleshooting software, sensor, and system-integration issues
  • Strong analytical, debugging, and technical problem-solving skills
  • Strong written and verbal communication skills
  • Ability to work effectively with cross-functional engineering and field teams

PREFERRED QUALIFICATIONS
  • Master's degree in Computer Science, Electrical Engineering, Robotics, Machine Learning, or a related discipline
  • Experience developing perception systems for autonomous agricultural equipment, off-road vehicles, heavy machinery, or mobile robots
  • Familiarity with agricultural operations, field navigation, crop production, spraying, planting, harvesting, or related workflows
  • Experience with OpenCV, Point Cloud Library, PyTorch, TensorFlow, CUDA, or similar technologies
  • Experience with machine-learning approaches for detection, segmentation, classification, depth estimation, or tracking
  • Experience with LiDAR point-cloud registration, clustering, filtering, mapping, or ground-surface analysis
  • Familiarity with crop-row detection, vegetation segmentation, field-boundary detection, elevation mapping, or traversability analysis
  • Familiarity with Kalman filtering, Bayesian estimation, probabilistic robotics, or other sensor-fusion methods
  • Experience optimizing perception software for GPUs or embedded computing platforms
  • Experience with simulation, recorded-data replay, hardware-in-the-loop, or software-in-the-loop testing
  • Familiarity with functional safety concepts and validation practices for autonomous or safety-critical systems
  • Experience validating autonomous systems in dusty, high-vibration, uneven, outdoor, agricultural, or industrial 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.