Service Systems Engineer — AI, ML & Prototyping

KLA-Belgium; Milpitas (CA); On-site; USD 118,000 - 200,000; Full time

Benefits offered by this job

Medical, dental, vision, life, and..

401(K) including company matching

Employee stock purchase program (ESPP)

Tuition reimbursement

Career growth opportunities

Wellness benefits

Job summary

KLA in Milpitas, CA is seeking a high-ambition engineer to influence design for service optimization, applying AI, diagnostics, and data analysis. You will prototype hardware, test on/off system, and develop ML models with Python; you will build tools to help field engineers become more efficient.

A strong background in physics and engineering is preferred, with opportunities for career growth. Join our team to advance semiconductor manufacturing technology, collaborate with worldwide service

Qualifications

• Doctorate (Academic) Degree and 0 years related work experience.
• Master's Level Degree and related work experience of 3 years.
• Bachelor's Level Degree and related work experience of 5 years.

Responsibilities

• Influence designers and designs to include features that will optimize KLA service business: predictability, AI, calibrations and diagnostics, cost of service, reliability, design tolerances, IP protection.
• Create prototype hardware, conduct testing both on and off system.
• Analyze data and provide recommendations.
• Leverage AI development tools to analyze large volumes of data, develop models, create software features.
• Design tools for helping TSE’s, PE’s, CSE’s become more efficient.
• Work in machine learning and python development.

Skills

AI development tools

Data analysis

Machine learning

Python development

Education

Physics

Mechanical engineering

Electrical engineering

Job description

KLA in Milpitas, CA is seeking a high-ambition engineer to influence design for service optimization, applying AI, diagnostics, and data analysis. You will prototype hardware, test on/off system, and develop ML models with Python; you will build tools to help field engineers become more efficient.

A strong background in physics and engineering is preferred, with opportunities for career growth. Join our team to advance semiconductor manufacturing technology, collaborate with worldwide service