【間接:生産】<車両生産技術開発 プラント・メンテナンス技術> フィジカルaiシステムエンジニア (設備ライフサイクルコストの最適化に向け、aiを使用し最適仕様提案を出来るシステムの構築)

Nissan UK (Sunderland)

Zama, Kanagawa, Japan
Equipment design experience
Fmea implementation experience
Python programming skills
The role focuses on constructing systems that utilize Physical AI to optimize equipment specifications and maintenance costs throughout the lifecycle

Job Summary

  • The role focuses on constructing systems that utilize Physical AI to optimize equipment specifications and maintenance costs throughout the lifecycle.
  • Candidates will lead initiatives to improve equipment reliability and reduce running costs by implementing FMEA analysis during the specification phase.
  • This position offers the opportunity to innovate in new generation equipment production during a major transformation period in the automotive industry.

Matching Summary

The role focuses on constructing systems that utilize Physical AI to optimize equipment specifications and maintenance costs throughout the lifecycle.

Skills & Requirements

Must-have

  • Equipment design experience
  • FMEA implementation experience
  • Python programming skills
  • C language programming skills
  • Physical AI development experience
  • Equipment reliability evaluation
  • Maintenance management experience

Nice-to-have

  • Team leadership experience
  • IoT and sensing knowledge
  • Reliability engineering background
  • Strong communication skills
  • Proactive problem solving attitude
  • Mechanical or electrical engineering background

Key Requirements

  • Experience in equipment design or startup
  • Programming proficiency in Python and C
  • Prior FMEA execution experience
  • Background in equipment reliability assessment

Work Rights

Not specified

Tailored Resume

Cover Letter