Project Quality Engineer

TLDR

Lead quality assurance across project lifecycle by integrating APQP requirements and resolving quality issues in battery development, while overseeing project objectives and audits.

Project Quality Engineer

 

Responsibilities

  • Responsible for establishing and improving the APQP requirements of the project, implementing APQP control in each stage of the project, and ensuring the development quality of cells, modules and packs

  • Responsible for planning project quality objectives and reliability objectives, and implementing them at all stages of the project

  • Communicated with each business manager within the project team, decomposed and implemented the after-sales quality target

  • Responsible for establishing the passing conditions of each project node, carrying out the completion review, and exporting the quality opinions during the project node

  • Fully responsible for the quality of the project life cycle, ensure that the project research and development process is under control, promote the analysis and solution of the trial-production, experimental quality problems and after-sales problems of each project

  • Summary of project quality experience

 

Qualifications

  • Bachelor’s degree or above, CET-4 or above, good English communication and coordination skills

  • More than 2 years of battery research and development projects, quality management and process management; At least 1 year R&D project management experience in related industry

  • Have the ability of quality system review and on-site audit, and can independently issue audit report

  • Strong communication skills, organization and coordination skills

  • Familiar with quality management system, quality management process and common quality management tools and analysis methods

 

SES builds innovative solutions in material discovery and advanced battery management, focusing on accelerating the global energy transition. Our primary customers range from energy companies to tech enterprises looking to enhance their battery technology with machine learning. What sets us apart is our commitment to integrating AI into battery R&D, streamlining the development process and improving efficiency.

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