Failure Analysis Engineer – Defect Analyst

2 weeks ago


Bengaluru, Karnataka, India Enphase Energy Full time US$ 90,000 - US$ 1,20,000 per year

Enphase Energy is a global energy technology company and a leading provider of solar, battery, and electric vehicle charging products. Founded in 2006, our innovative microinverter technology revolutionized solar power, making it a safer, more reliable, and scalable energy source. Today, the Enphase Energy System enables users to make, use, save, and sell their own power. Enphase is also one of the most successful and innovative clean energy companies in the world, with more than 80 million products shipped across 160 countries.

Join our dynamic teams designing and developing next-gen energy technologies and help drive a sustainable future

About the Role

Enphase is searching for a Failure Analysis Engineer to join the Global Quality Team, to analyze Enphase Fleet data and product field returns to understand failure modes, failure mechanisms, and root causes, which will help us improve our products, therefore increasing customer satisfaction.

What You will Be Doing

  • Analyze real-world fleet data to develop predictive failure models and assess long-term product performance
  • Lead investigations into product failures, document root cause findings, and drive containment and corrective actions
  • Represent the Failure Analysis (FA) team in Failure Review Boards, collaborating closely with engineering and quality teams
  • Define appropriate analysis methodologies and manage external FA vendors where applicable
  • Identify opportunities to reduce FA cycle time and proactively discover emerging failure modes
  • Leverage online diagnostic systems to remotely analyze product issues and contribute to predictive and autonomous fleet recovery strategies
  • Engage with software, hardware, and product teams to understand upcoming releases, identify gaps, and develop robust data models
  • Collaborate with internal stakeholders to identify opportunities for data-driven improvements in product design, reliability, and manufacturing
  • Troubleshoot field upgrade and deployment issues, coordinate escalations, and implement model updates and data quality measures
  • Lead the design and evolution of data platforms and visualization frameworks to support scalable analysis and modern data science workflows
  • Promote and enhance the culture of safety across engineering and diagnostics teams
  • Work closely with CS/ Engineering/ Quality to ensure rapid turnaround of returned units and accelerate root cause diagnostics
  • Operate within a diverse, multi-cultural, and global team environment, driving innovation through inclusion

Who You Are and What You Bring

Educational Background

  • Bachelor's degree in Electrical Engineering, EEE, or ECE from a top 100 NIRF institute with 3–4 years of relevant experience, or
  • Master's degree in Power Electronics, Power Systems, or ECE from a top 100 NIRF institute with 2+ years of proven experience in failure analysis and data analytics.

Technical Skills

  • Strong hands-on experience in failure analysis of power electronics, energy devices
  • Familiarity with power supplies, inverters, or solar systems is a strong plus
  • Proficiency in Python for data analysis using libraries such as Pandas, NumPy, Scikit-learn, Seaborn, Matplotlib, or Plotly
  • Solid understanding of statistical techniques, data modeling, and quality control practices
  • Experience using data visualization and BI tools (e.g., Excel, Incorta)

Soft Skills

  • Excellent verbal and written communication skills, with the ability to translate technical insights for diverse audiences
  • Detail-oriented with a structured approach to problem-solving
  • Strong collaboration skills and the ability to thrive in cross-functional teams
  • Passionate about sustainability, reliability, and continuous improvement

Bonus Qualifications

  • Working knowledge of electrical safety practices for batteries, microinverters, or industrial gateways

Safety certifications or accreditations in electrical domains are highly desirable.



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