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Principal Engineer - Stack Reliability

Ohmium

2 - 5 years

Bengaluru

Posted: 23/12/2025

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Job Description

Roles and Responsibilities:

  1. Evaluate the performance and degradation of PEM electrolyzer stacks and components over time
  2. Identify and mitigate potential failure modes using tools like FMEA (Failure Mode and Effects Analysis).
  3. Design and execute reliability testing plans and protocols for PEM electrolyser / batteries and their subsystems. This includes accelerated stress screen testing, durability assessments and performance mapping.
  4. Collaborate with test engineers to design and execute long-term reliability tests under various operating conditions.
  5. Work with materials scientists to assess how different materials affect system durability and efficiency.
  6. Work with manufacturing and quality control teams to improve production processes. Implement quality control procedures and specifications to minimize defects and ensure a reliable product.
  7. Analyze operational data to detect trends, anomalies, and opportunities for improvement.
  8. Maintain detailed documentation of test results, analysis, and engineering recommendations. Prepare and present technical reports to stakeholders.
  9. Provides ongoing training and education to the team to ensure its ability to execute on the Company and team goals and objectives.
  10. Builds a strong development team by ensuring effective coaching and counseling employees; planning, monitoring, and appraising job results.


Desired Qualification :

  1. B.Tech/M.Tech in Chemical /Materials or Metallurgy background with 10+ year of experience or Ph. D in Chemical Engineering, Physics, Chemistry or related discipline with 5+ years of experience in product/battery testing and material characterization.
  2. Deep knowledge in electrochemical characterization techniques: CV, LSV, EIS and standard testing protocol for electrolyzer / batteries.
  3. Proven ability to bridge engineering and operational teams to drive measurable product improvements.
  4. Strong data analysis skills; proficiency with reliability tools and statistical software.
  5. Exceptional communication, leadership, and organizational skills.

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