Reliability Lead Engineer

Job Code: CoE-QUR-RY-S-001

Location: Plant based role, One-Hub, Thiruporur

No of Openings: 1

Qualifications : Bachelor's / Master's in Mechanical / Aerospace Engineering

Preferred Experience : 8–10 years of experience in reliability engineering

Proven expertise in statistical modeling, reliability strategy, and aerospace/UAV systems

Experience with survivability engineering under harsh environments and extended missions

Familiarity with aerospace quality standards (AS9100D, DO-160, MIL-STD)

Risk Management: Ability to develop risk registers and mitigation strategies

Lifecycle Analysis: Knowledge of fatigue, durability, and life prediction for UAV systems

Innovation: Exposure to predictive maintenance, AI-driven reliability analytics, and digital twin approaches

Leadership: Mentor junior engineers and build organizational reliability culture

Required Skill Sets & Tools

• Reliability Tools: ReliaSoft Weibull++ (probabilistic modelling)
• Statistics: Minitab (statistical analysis and trend prediction)
• PLM: PTC Windchill (data and lifecycle management)
• Analysis: MS Excel (fleet-wide data tracking and KPI reporting)

Key Responsibility Areas

• Reliability Strategy & Architecture

Define mechanical reliability strategy for UAV systems

Develop fleet-wide statistical reliability models

Establish reliability targets and KPIs

• Advanced Reliability Modeling

Lead probabilistic and statistical modeling using ReliaSoft Weibull++ and Minitab

Predict system-level reliability and failure trends

Drive data-driven reliability decisions

• Survivability Engineering

Define survivability strategies for harsh environments and extended mission profiles

Ensure robustness across operating conditions

• Compliance & Standards Leadership

Own compliance with aerospace reliability standards (MIL-STD-417, JSS-55555)

Define reliability validation frameworks and audit-ready documentation

• Cross-Functional Leadership

Lead collaboration across design, manufacturing, and testing teams

Drive reliability-centric design decisions and reviews

• Manufacturing & Field Feedback Loop

Integrate manufacturing and field failure data into reliability models

Continuously improve product reliability through closed-loop feedback