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Quest Global

Engineering services, digital transformation, asset management

Yield Improvement Engineer

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeChitose, Hokkaido, JapanNo salary listedIn-person

About the Job

Requirements

  • At least 3 years of experience.
  • Experience understanding user requirements, translating them into system specifications, and implementing systems.
  • Experience developing and using applications with data analysis software such as Spotfire and JMP.
  • Experience in data analysis and application development using Python, R, or similar tools.
  • Experience developing applications using web technologies.
  • Practical experience manipulating and extracting data using SQL.
  • Data analysis and application development skills using Python, Spotfire, and SQL.
  • Intermediate-level or higher Excel skills.
  • Intermediate-level PC operation skills.
  • Japanese proficiency at JLPT N2 or higher.

Responsibilities

  • Develop and expand systems to improve quality and yield.
  • Build user-friendly data analysis and management interfaces, including web application development.
  • Operate developed systems reliably and improve their performance.
  • Continuously improve systems based on feedback from user departments.
  • Work closely with user departments to identify potential challenges and requirements.
  • Translate user requirements into feasible system specifications.

Desired Qualifications

  • Experience in the semiconductor industry or developing quality and yield improvement systems in similar manufacturing industries.
  • Data analysis skills using R.
  • Web application development skills.
  • English proficiency equivalent to TOEIC 500 or higher.

About the Company

Quest Global

Engineering services, digital transformation, asset management

QuEST Global provides engineering and lifecycle services across aerospace, automotive, energy, healthcare, and transportation, focusing on digital transformation and asset management. It uses edge computing, cloud, AI/ML, and industrial IoT to deliver tailored engineering solutions through long-term partnerships, service contracts, project-based engagements, and strategic collaborations. It differentiates itself with a broad industry footprint, global delivery model, and emphasis on partnerships, talent development, and workplace culture. Its goal is to help clients improve operational efficiency and drive business growth by transforming engineering processes and assets with digital tools and data-driven management.

Company size
10,001+
Company stage
Growth Equity (Venture Capital)
Total funding
$581M
Headquarters
Greenville, SC
Founded
1997

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