Job
Description
In this role, you will support Quality Management activities in New Product Development by working closely with cross-functional teams including Design, Production, and Suppliers. You will be responsible for generating quality reports, maintaining data pipelines, and driving data-based decision-making to ensure high product performance and reliability. Experience: 0.6-2 years in Quality, Reliability, or Product Engineering (New Product Development environment preferred) Work Location: Bangalore, KA, India (Willingness to travel as required) Education: UG/PG B.E./B.Tech/Diploma in Mechanical, Electrical, Electronics, Metallurgy, Mechatronics, Automobile Engineering, or Reliability Engineering with a minimum of 60%. Required Skills: Strong understanding of Quality Management Systems, Testing Methods, and Failure Analysis. Experience in electromechanical systems integration and evaluation. Knowledge of product testing standards and field performance tracking. Data analysis and data management skills for decision-making. Familiarity with automotive/aerospace/industrial engineering quality documentation and processes. Basic knowledge of battery, charger systems, and environmental impacts on products. Ability to interpret electrical/electronic schematics and mechanical drawings. Competency in engineering first principles and basic statistics. Responsibilities: Develop and maintain data pipelines to monitor key product parameters aligned with engineering targets. Track and evaluate product quality and performance throughout different development stages. Generate quality summary reports from build quality data, test results, and design inputs. Create and manage product quality templates for tracking and monitoring. Connect design, test, reliability, and field performance data to assess product capabilities. Lead data collection, analytics, and reporting for quality and reliability metrics. Enable data-driven decision-making by creating actionable insights from quality data. Support cross-functional teams with real-time feedback on quality and reliability indicators. Added Advantages: Experience in automotive, aerospace, or industrial product development environments. Exposure to reliability testing, root cause analysis, and FMEA. Familiarity with tools like Minitab, Power BI, or other data visualization platforms. Understanding of Six Sigma or other quality improvement methodologies.
