Module Process Engineering Intern

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Job Description

Antora builds and deploys thermal energy storage to power always-on industrial operations and data centers with low-cost energy. Factory-built in California, Antora’s thermal batteries deliver reliable and cost-effective heat and power for industrial loads of any size. Antora is electrifying global industry while supporting U.S. manufacturing jobs, lowering costs for energy consumers, and enhancing the competitiveness of American industry.

We are growing our company with people who put team and mission first, value connection through laughter and joy, and build with humility and openness. We are committed to continue building a diverse, passionate, and creative team dedicated to a future where every industrial facility, everywhere on earth, is powered by abundant, clean, low-cost energy.

Position Summary

The Module Process Engineering Intern will support Antora’s Module Process Engineering team with a focus on process stability and continuous improvement. This role involves developing and maintaining Statistical Process Control (SPC) systems, conducting root cause analyses on manufacturing deviations, and providing hands-on technical support. The intern will contribute directly to scaling Antora’s TPV (thermophotovoltaic) technology and advancing the company’s mission to deliver affordable, zero-emissions industrial energy.

Roles & Responsibilities
  • Process Monitoring & SPC ImplementationDevelop, implement, and maintain SPC tools to monitor process performance
  • Identify process variation and detect defects early in the assembly line
  • Root Cause Analysis & Continuous ImprovementPerform deep-dive analyses on process deviations to identify failure modes
  • Apply methodologies such as 5 Whys or Fishbone diagrams to determine root causes
  • Drive corrective and preventative actions (CAPAs) to improve process reliability
  • Operational & Engineering SupportProvide hands-on support for troubleshooting, experimentation, and process optimization
  • Collaborate with cross-functional teams to improve manufacturing efficiency
  • Support scale-up efforts for TPV module manufacturing
  • Data Analysis & ReportingAnalyze process data to uncover trends, insights, and opportunities for improvement
  • Build dashboards or tools to track key performance metrics
Key Qualifications
  • Currently pursuing a Bachelor’s or Master’s degree in Mechanical Engineering, Chemical Engineering, Materials Science, Industrial Engineering, or a related field
  • Familiarity with Statistical Process Control (SPC) and data analysis techniques
  • Experience with root cause analysis methodologies (e.g., 5 Whys, Fishbone diagrams)
  • Foundational knowledge of process engineering and manufacturing systems
  • Proficiency in Python or similar programming language for data analysis
  • Experience with CAD tools (e.g., SolidWorks, Fusion 360, or similar)
  • Strong analytical thinking and problem-solving skills
Additional Qualifications Desired
  • Prior internship or project experience in manufacturing, production, or process engineering
  • Experience working with control charts, histograms, or other statistical tools
  • Familiarity with design of experiments (DOE) or process optimization techniques

  • Experience in hardware, energy systems, or semiconductor-related processes
  • Strong communication skills and ability to work in a fast-paced, collaborative environment
  • Hands-on experience with lab or production equipment

Work Location: Onsite - San Jose, CA

Internship Start Dates:

Group 1: June 1st - August 7th

Group 2: June 15th - August 21st

Hourly Range: $35 USD - $45 USD

Please note that the hourly range listed for this position reflects Antora Energy's estimated pay rate. The actual rate offered will be determined based on a candidate's experience, year in school, and degree, as they relate to the position's requirements.

Additionally, this position does not offer visa sponsorship. Only candidates with current work authorization (e.g., F-1 visa with OPT/CPT authorization) will be considered.

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