Dielectrics Deposition Process Intern — Productivity

Lam Research Corporation; Tualatin (OR); Hybrid; USD 30,000 - 47,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Lam Research Corporation’s DFBU Productivity group seeks MS/PhD interns to analyze dielectric deposition tools, run experiments in lab and clean-room settings, and present results to leadership by summer’s end.

You’ll work with mentors, applying data science and ML methods to predict productivity losses, building dashboards, and contributing to fleet productivity improvements while gaining exposure to hybrid work models.

Qualifications

• Must be an M.S. or Ph.D. student in Chemistry, Physics, Electrical Engineering, Chemical Engineering, Mechanical Engineering or Materials Science/Engineering with strong academic standing, returning to school after the internship
• Strong foundational understanding of physical sciences (Thermodynamics, Physical chemistry)
• Strong communication skills to convey project summary and results
• Ability to work in a clean-room environment wearing PPE, clean-room suit or smock
• Background in data science or AI/machine learning based process development
• Coursework or lab experience in thin films, CVD or plasma processing
• Experience with thin film analytical methods (e.g., SEM/TEM, XPS, XRD, ellipsometry)
• Familiarity with problem-solving methods such as SPC, DOE, 5-why or 8D
• Experience analyzing data with Python, JMP or MATLAB

Responsibilities

• Run experiments on dielectric deposition tools in lab and clean-room environments, and analyze film and metrology data
• Apply model-based and machine learning approaches to predict and prevent productivity losses
• Analyze tool and fleet data (uptime, downtime, chamber recovery) to identify top improvement opportunities
• Support root-cause investigations and preventive parts-replacement plans to reduce downtime and wafer scrap
• Present findings and recommendations to engineering and leadership in a short technical memo

Skills

Data analysis

Python

Machine learning

Communication

Clean-room work

Education

MS or PhD student in Chemistry/Physics/EE/Chemical/Mechanical/MSE

Tools

Python

MATLAB

JMP

SEM/TEM/XPS

Job description

Lam Research Corporation’s DFBU Productivity group seeks MS/PhD interns to analyze dielectric deposition tools, run experiments in lab and clean-room settings, and present results to leadership by summer’s end.

You’ll work with mentors, applying data science and ML methods to predict productivity losses, building dashboards, and contributing to fleet productivity improvements while gaining exposure to hybrid work models.