Validation engineer • irving tx
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The average salary range is between $ 58,240 and $ 97,500 year , with the average salary hovering around $ 73,125 year .
The average salary range is between $ 85,008 and $ 146,340 year , with the average salary hovering around $ 104,994 year .
Job Description
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!
ABOUT THE ROLE
We are looking for a Test Engineering Manager to lead validation of IoT and computer vision products.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- 7+ years of experience in product validation, systems engineering, integration testing, quality engineering, or product development.
- Demonstrated experience leading technical teams and complex cross-functional validation programs.
- Experience validating complex connected products.
- Strong understanding of system-level integration, reliability, regression, performance, and field validation.
- Experience defining validation strategies, test plans, release criteria, and measurable acceptance metrics.
- Embedded Systems Testing: Experience validating embedded systems, including hardware–firmware integration, device functionality, interfaces, and system-level performance.
- Test Automation: Experience developing and implementing automated testing frameworks to improve test coverage, repeatability, efficiency, and regression testing.
- Strong troubleshooting and root-cause analysis skills across multidisciplinary systems.
- Experience with product KPIs, validation dashboards, defect trends, and data-driven readiness decisions.
- Experience with IoT, edge devices, computer vision, retail technology, or large-scale connected-device deployments is highly desirable.
- Ability to lead, coach, mentor, and develop engineers while setting clear priorities and accountability.
- Ability to translate complex technical findings into clear product and business risk recommendations.
- Strong collaboration, communication, and problem-solving skills in a fast-paced, globally distributed environment.
- Bachelor’s or Master’s degree in Engineering, Computer Science, Systems Engineering, or a related technical field.
- Upper-intermediate English level.
- Hybrid availability in Dallas, TX.
NICE TO HAVES
- Experience building or scaling test automation and continuous validation frameworks.
- Experience with embedded/IoT systems, cloud platforms, networking, telemetry, and OTA workflows.
- Experience supporting customer pilots, field deployments, manufacturing validation, or large-scale product launches.
WHAT YOU WILL DO
- Team Leadership: Lead, coach, and develop a high-performing Test & Validation team, building technical capability, system-level thinking, ownership, and accountability.
- End-to-End Validation: Own product validation across hardware, firmware, software, cloud, connectivity, and customer workflows.
- Validation Strategy: Partner with global R&D teams to define validation plans, test coverage, integration checkpoints, performance targets, and release criteria.
- System Integration Testing: Ensure complete system testing across device onboarding, telemetry, connectivity, data flow, performance, customer workflows, regression, and recovery scenarios.
- Performance & Reliability: Monitor and evaluate product performance against defined quality, reliability, and business-critical metrics, identifying trends and areas for improvement.
- Troubleshooting & Risk Management: Identify integration gaps, dependencies, and failure modes early and drive structured root-cause analysis across R&D, Product, Manufacturing, Field, and customer-facing teams.
- Readiness Reporting: Own validation dashboards and executive reports showing test progress, critical defects, performance trends, open risks, and launch readiness.
- Launch Readiness: Lead final validation reviews and provide Go / Conditional Go / No-Go recommendations for pilot, deployment, and scale readiness.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.
Requirements
7+ years of experience in product validation, systems engineering, integration testing, quality engineering, or product development. Experience validating complex connected products Strong understanding of system-level integration, reliability, regression, performance, and field validation. Experience defining validation strategies, test plans, release criteria, and measurable acceptance metrics. Embedded Systems Testing: Experience validating embedded systems, including hardware–firmware integration, device functionality, interfaces, and system-level performance. Test Automation: Experience developing and implementing automated testing frameworks to improve test coverage, repeatability, efficiency, and regression testing Strong troubleshooting and root-cause analysis skills across multidisciplinary systems. Experience with product KPIs, validation dashboards, defect trends, and data-driven readiness decisions. Experience with IoT, edge devices, computer vision, retail technology, or large-scale connected-device deployments is highly desirable. Ability to lead, coach, mentor, and develop engineers while setting clear priorities and accountability. Ability to translate complex technical findings into clear product and business risk recommendations. Strong collaboration, communication, and problem-solving skills in a fast-paced, globally distributed environment. Bachelor’s or Master’s degree in Engineering, Computer Science, Systems Engineering, or a related technical field.
