Module Process Engineering Intern at Antora Energy in San Jose, CA

Summary: Antora builds and deploys thermal energy storage to power industrial operations and data centers with low-cost energy. The Module Process Engineering Intern will support the Module Process Engineering team with a focus on process stability and continuous improvement, involving the development and maintenance of Statistical Process Control systems and conducting root cause analyses on manufacturing deviations. Responsibilities: - Develop, implement, and maintain SPC tools to monitor process performance - Identify process variation and detect defects early in the assembly line - Perform 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 - Provide 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 - Analyze process data to uncover trends, insights, and opportunities for improvement - Build dashboards or tools to track key performance metrics Required 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 Preferred Qualifications: - 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 Required Skills: Statistical Process Control (SPC), Root cause analysis, Process engineering, Manufacturing systems, Python, CAD tools, Design of experiments (DOE), Process optimization, Analytical thinking