Quality Engineer

About this role

ABOUT LVT

LVT is redefining how businesses operate in the physical world, moving beyond traditional security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer, and more secure. Since pioneering our first mobile, solar-powered units, our commitment to scrappy, hands-on innovation has made us an established leader and one of the fastest-growing companies in intelligent site technology. We are building the next generation of solutions—from our physical units in the field to a powerful Agentic AI platform—that allows our customers to gain unprecedented visibility and control over safety, compliance, and operations. This is your chance to join a cutting-edge team that isn't just watching the world change, but actively building the technology that is changing it.

We’re a team that’s focused on growth and innovation, and we’re proud that our crew, products, and leadership are being recognized for it.

• A Top-Tier Growth Company: Named one of the Financial Times’ Fastest Growing Companies 2025 and #10 on the Inc. 5000 Rocky Mountain Regional list for 2025.

• Innovative Leadership: Our CEO, Ryan Porter, was named an EY Entrepreneur of the Year 2025, and our CTO, Steve Lindsey, was inducted into the Silicon Slopes CTO Hall of Fame in 2024.

• Product & Software Excellence: We were named one of The Software Report’s Top 100 Software Companies of 2023 and are a winner of the Security Today Govies Award for 2025.

ABOUT THIS ROLE

As a Quality Engineer at LVT, you will play a key role in ensuring the performance, yield, and reliability of our production operations. Operating with moderate autonomy on the manufacturing floor, you will solve intermediate technical challenges across electro-mechanical assemblies, lead root-cause analysis, and help optimize automated test systems. Working closely with Manufacturing and Hardware Engineering, your analytical insights and hands-on execution will directly drive continuous improvement and overall process quality across our production lines.

This role is based full-time on-site out of our manufacturing facility in Spanish Fork, Utah, with no routine travel required.

ROLE RESPONSIBILITIES

• Investigate & Resolve Quality Issues: Perform root-cause analysis on recurring electromechanical component and assembly failures using standard methodology (e.g., 8D, 5-Why, Fishbone) to resolve Corrective Action Reports (CARs) and production deviations.

• Support Test Automation & Fixtures: Assist in designing, developing, and deploying automated test fixtures and equipment, utilizing basic software/scripting integration (such as Python or PLCs) to evaluate in-process and end-of-line performance.

• Execute Quality Risk Documentation: Support the creation, maintenance, and execution of Process Failure Mode and Effects Analysis (PFMEA) and establish clear testing protocols and acceptance criteria across production lines.

• Analyze & Monitor Production Data: Maintain automated data collection processes to track yield, defect Pareto metrics, and operational trends, converting raw data into actionable reports for Quality and Operations leadership.

• Optimize Line Efficiency: Evaluate testing procedures and cycle times to identify bottlenecks, driving process refinements that enhance first-pass yield without sacrificing safety or quality.

• Maintain Quality & Regulatory Compliance: Ensure manufacturing methods, testing workflows, and documentation strictly align with ISO 9001 standards, customer specifications, and internal governance.

• Collaborate Cross-Functionally: Partner with Manufacturing Engineering and Hardware Design teams to define acceptance criteria, support New Product Introductions (NPI), and ensure seamless quality handoffs.

OUR IDEAL CANDIDATE

• Educational & Technical Foundation: Bachelor’s degree in Mechanical, Manufacturing, Electrical, or Automation Engineering (or equivalent practical experience).

• Relevant Industry Experience: 2–5 years of professional experience in a manufacturing environment, with hands-on exposure to automated test equipment and quality systems.

• Root Cause & Statistical Proficiency: Practical experience with Statistical Process Control (SPC), Six Sigma methodologies, and standard problem-solving techniques.

• Test & CAD Familiarity: Working knowledge of CAD software for fixture review/design (e.g., SolidWorks, AutoCAD) and exposure to automation tools or scripting (e.g., PLC programming, Python).

• Electro-Mechanical Diagnostics:…