Semiconductor Equipment Engineering Intern

About our group:

We are responsible for the development and deployment of Wafer Processing equipment for manufacturing on our Photo-lithography, Electro-plating, CMP and Metrology equipment. Our department is in charge of the equipment performance to maximize uptime, throughput and yield as well as minimizing costs, rework and scrap.  These types of improvements come from interacting with the operators and technicians that use the equipment and performing analysis on a variety of different types of tool data retrieved from equipment monitoring devices.

About the role - you will:

• Be responsible for development and deployment of Wafer Processing equipment for manufacturing, with a focus on integrating AI technologies to enhance performance
• Have familiarity with Photo-lithography, Electro-plating, CMP or Metrology applications and how AI can be applied in these areas.
• Develop AI analytical tools to evaluate equipment performance and reliability to facilitate decision making
• Analyzing historical data on tool parameters and maintenance records and integrating AI for predictive maintenance
• Establish AI-driven programs and solutions for increasing uptime and for equipment problems that affect the manufacturing process.  
• Provide technical support to the manufacturing equipment repair and process engineering organizations, leveraging AI tools.
• Explore opportunities of using AI optimization to ensure the effective use of materials, equipment, and personnel in producing quality products at minimum costs.

About you:

• Solid written and oral communication skills
• Excellent problem-solving skills, with a knee interest in AI technologies
• Driven to results
• Passionate about technology
• Critical thinker
• Ability to gain agreements with cross functional teams
• Analytical skills
• You will possess passion and commitment for completing projects on time
• Candidate needs to be highly motivated and be able to independently drive self to excellence

Your experience includes:

• Proficient in computer programming languages such as Python, R, or Java, with a focus on AI and machine learning applications.
• Pursuing a Bachelor’s (3rd year) or Master’s degree in Computer Science, Computer Engineering, Physics, electrical, mechanical engineering or related fields

Location:

Our Normandale campus spans two suburbs, Edina and Bloomington, and serves as the Recording Head development and manufacturing arm of Seagate. Located in the heart of a bustling community, Seagate offers an on-site café, or if you prefer, you can drive to one of many restaurants just minutes away. Need to grab a gift over lunchtime? Shopping is abundant in the area. If working out is your thing, the on-site fully equipped fitness center hosts wellness programs, outdoor activities, tournaments, and group workouts. Looking for something more laid back? Reset in one of our meditation rooms, or simply take a walk around our indoor walking path. On-site cultural festivals, celebrations, and community volunteer opportunities also abound. 

Location: Normandale, United States
Travel: None