Senior Turbine Reliability Engineer

Ctrl; Toronto; Remote; CAD 80,000 - 110,000; Full time

Job summary

Ctrl, a leader in drone-based inspection for renewable energy, seeks a Senior Turbine Reliability Engineer. This role involves ensuring the visual and structural integrity of wind turbines through innovative data analysis and drone technology, contributing to the industry's advancement in asset management and reliability assessments. The ideal candidate will leverage their engineering background and experience in visual diagnostics to drive impactful data-driven decisions.

Benefits

Remote flexibility

Gear and travel stipends

Opportunities to lead innovation

Qualifications

• 5+ years in wind turbine reliability, inspection, or asset management.
• Proficient in interpreting visual and thermal inspection data.
• Strong focus on structural integrity and maintenance of turbine blades.

Responsibilities

• Lead the assessment of turbine components using drone imagery and data.
• Generate actionable reports for asset managers detailing condition and maintenance recommendations.
• Collaborate with teams to improve inspection workflows and data accuracy.

Skills

Visual inspection

Data analysis

GIS tools

Communication

Project coordination

Education

Bachelor’s or Master’s in Mechanical, Aerospace, Civil, or Geomatics Engineering

Tools

ArcGIS

QGIS

DJI drones

Skydio drones

DroneDeploy

Pix4D

Job description

1 week ago Be among the first 25 applicants

Remote (North America-based preferred) | Travel up to 25% as needed

About Ctrl:

Ctrl is a leader in drone-based inspection, sensing, and GIS-integrated intelligence for renewable energy and infrastructure. Our technology enables high-fidelity, real-time visibility into the condition of assets across wind, solar, and transmission networks. We’re hiring a Senior Turbine Reliability Engineer to help lead our visual inspection and data analysis efforts, with a particular focus on turbine blade condition, structural integrity, and geospatial asset monitoring.

About the Role:

This role focuses on the visual health and structural reliability of wind turbines. Using drone imagery, LiDAR, thermal data, and GIS-based tools, you’ll help identify defects, prioritize maintenance, and support clients in protecting their renewable infrastructure. You will play a critical part in developing Ctrl’s inspection workflows and geospatial condition models, helping shape how the industry sees, interprets, and acts on turbine integrity data.

Key Responsibilities:

• Lead the assessment of turbine blades, towers, nacelles, and foundations using drone-captured RGB, LiDAR, and thermal imagery

• Interpret damage and deterioration patterns—such as erosion, cracks, lightning strikes, and coating failures

• Drive the creation and standardization of GIS-based inspection layers, asset tags, and defect classifications

• Collaborate with Ctrl’s drone ops and GIS teams to ensure quality, consistency, and traceability of inspection data

• Generate actionable reports for asset managers, including annotated imagery, condition scoring, and repair recommendations

• Contribute to the continuous improvement of Ctrl’s drone-based workflows, mapping outputs, and visual analytics platform

• Support warranty documentation, insurance claims, and long-term reliability tracking

Qualifications:

• Bachelor’s or Master’s in Mechanical, Aerospace, Civil, or Geomatics Engineering (or related field)

• 5+ years in wind turbine reliability, inspection, or asset management, with a strong focus on blades and visual diagnostics

• Proficient in interpreting visual and thermal inspection data—especially for blade and tower damage

• Experience with drone-captured data (RGB, LiDAR, photogrammetry) and post-processing workflows

• Familiarity with GIS tools such as ArcGIS or QGIS

• Excellent communication, reporting, and project coordination skills

• Willingness to travel to field sites (~25%)

• Experience with drone platforms and inspection tools (DJI, Skydio, Pix4D, DroneDeploy, etc.)

• Knowledge of turbine OEM platforms and inspection protocols (GE, Vestas, Siemens Gamesa)

• Background in digital twin modeling, visual AI defect detection, or SCADA-integrated inspection tools

• Experience guiding cross-functional teams across engineering, GIS, drone ops, and software

Why Ctrl?

• Work on real-world energy challenges using drones, AI, and spatial analytics

• Be part of a founder-led team with strong industry momentum and technical depth

• Enjoy remote flexibility, gear and travel stipends, and opportunities to lead innovation

• Help shape how wind reliability is measured, visualized, and acted on

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Data Infrastructure and Analytics

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