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Engineering Intern - Metrology and Data Analytics

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Lam Research

Oct 8, 2024

Applications are closed

  • Internship
    Full-time
    Off-cycle Internship
  • Data
    Research & Development
  • Fremont

Requirements

  • Current or recent graduate in Computer Science, Data Science, Physics or related discipline.
  • Experience with Python, deep neural networks, image processing, and tools such PyTorch, Keras, and Tensorflow are highly desirable.
  • Candidate must be familiar with the latest data analytics tools, libraries, and software.
  • Help to build models, analyze data, and build new solutions and capabilities.

Responsibilities

  • Work with cross-functional team in fast-paced R&D environment on development of metrology data analytics projects in support of CD-SAXS and/or other techniques. The primary focus of this effort will be on the development of new algorithms and methodologies leveraging existing and new metrology datasets.
  • Help to build models, analyze data, and build new solutions and capabilities.

FAQs

What is the main focus of the Engineering Intern position?

The primary focus of the Engineering Intern position is on the development of new algorithms and methodologies leveraging existing and new metrology datasets in support of CD-SAXS and/or other techniques.

What qualifications are required for this internship?

Candidates must be current or recent graduates in Computer Science, Data Science, Physics, or a related discipline.

What technical skills are desirable for applicants?

Experience with Python, deep neural networks, image processing, and tools such as PyTorch, Keras, and TensorFlow are highly desirable.

What type of work environment can interns expect?

Interns can expect to work in a fast-paced R&D environment collaboratively with a cross-functional team.

How does Lam Research view diversity and inclusion?

Lam Research believes in the importance of every person feeling valued, included, and empowered, and they are committed to equal opportunity in employment without discrimination.

What is the salary range for this internship in the San Francisco Bay Area?

The salary range for this position is $34.00 - $54.00 per hour.

What are the work location models for this internship?

The internship offers hybrid roles, which can be classified as ‘On-site Flex’ (3+ days on-site) or ‘Virtual Flex’ (1-2 days on-site).

Are benefits provided to interns?

Yes, interns receive a comprehensive set of outstanding benefits as part of Lam Research's commitment to investing in their people.

Driving semiconductor breakthroughs that define the next generation. Trusted partner of the world’s leading chipmakers.

Manufacturing & Electronics
Industry
10,001+
Employees
1980
Founded Year

Mission & Purpose

Lam Research Corp. (NASDAQ:LRCX) is a global supplier of innovative wafer fabrication equipment and services to the semiconductor industry. The world's leading companies trust us as their valued partner because we bring together technology leadership, a strong values-based culture, and an unwavering commitment to prove our customers’ next big breakthrough. Our impact on the world can be seen all around us, as nearly every advanced chip today is built with our technology. Through collaboration, precision, and our commitment to delivery, we are transforming atomic-scale engineering and driving semiconductor breakthroughs that define the next generation. Lam Research Social Media Guidelines: By using or accessing this page, you agree to comply with LinkedIn’s Terms and Conditions. While we welcome participation and engagement, it is important to note that postings and/or comments by followers to Lam’s LinkedIn page do not necessarily reflect the opinions of Lam, nor does Lam confirm their accuracy. We expect that participants post content and commentary that is both relevant and respectful to this community as a whole. Lam reserves the right to remove any posts and/or comments that do not adhere to our guidelines and to block anyone who violates them repeatedly. Specifically, we do not tolerate these kinds of posts: • Abusive, harassing, stalking, threatening or attacking others • Defamatory, offensive, obscene, vulgar or depicting violence • Hateful in language targeting race/ethnicity, religion, gender, nationality or political beliefs • Fraudulent, deceptive, misleading or unlawful • Violations of any intellectual property rights • Spamming in nature • Commercial solicitation or solicitation of donations • Link baiting (embedding a link in your post to draw traffic to your own site)