AI-Driven Service Systems Engineer for Precision Tools

KLA

Ann Arbor (MI)

Presencial

USD 97 000 - 142 000

Tempo integral

14 dias+

Uma candidatura completa num minuto

Currículo e carta de apresentação personalizados, prontos a enviar.

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Vantagens oferecidas por esta oferta de emprego

Medical benefits
401(k) with company match
Employee stock purchase program
Tuition reimbursement
Paid time off

Resumo da oferta

KLA invites a Service Systems Engineer to advance serviceability and profitability by leveraging predictive analytics and AI across optics, electronics, and motion systems. You will collaborate with Tech Support, NPI, and engineering to translate data insights into hardware and software improvements.

Ideal candidates have advanced degrees and relevant project experience, with a strong focus on AI, ML, and Python development within a high-tech service environment in Ann Arbor, USA.

Qualificações

  • Doctorate degree with related experience or equivalent.
  • Master's degree with 3 years' related work experience.
  • Bachelor's degree with 5 years' related work experience.

Responsabilidades

  • Influence tool designs to improve serviceability and cost-of-service.
  • Create prototype hardware and conduct on/off-system testing.
  • Analyze data and provide actionable recommendations.
  • Leverage AI tools to analyze data and develop software features.
  • Design tools to help field engineers become more efficient.
  • Work with machine learning and Python development.

Conhecimentos

Data analytics
AI/ML
Python

Formação académica

Doctorate (Academic) Degree
Master’s Level Degree
Bachelor’s Level Degree

Ferramentas

Python

Descrição da oferta de emprego

KLA invites a Service Systems Engineer to advance serviceability and profitability by leveraging predictive analytics and AI across optics, electronics, and motion systems. You will collaborate with Tech Support, NPI, and engineering to translate data insights into hardware and software improvements.

Ideal candidates have advanced degrees and relevant project experience, with a strong focus on AI, ML, and Python development within a high-tech service environment in Ann Arbor, USA.

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