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RMO Sputter Process Engineering Intern, Data Science

Location: 

Singapore, SG

Posting Date:  May 25, 2026
Job ID:  14469

About our group:

The RMO Sputter Process Engineering team is responsible for driving process control, monitoring, and continuous improvement for PMR and HAMR media products. The team supports stable, high‑quality manufacturing by optimizing ultra‑high vacuum (UHV) sputter systems, improving overall equipment effectiveness (OEE), reducing downtime, and enhancing cost efficiency across hardware and consumables. In addition, the group plays a key role in new product readiness, process conversions, media performance improvement, and defect reduction through data‑driven engineering solutions and close collaboration with cross‑functional partners.

About the role - you will:

As a RMO Sputter Process Engineering Intern, you will support digital transformation and smart manufacturing initiatives within sputter operations by applying data science and analytics techniques to real production environments.You will:

  • Support the development of smart sputter systems by assisting in building data‑driven models for process control, prediction, and quality monitoring
  • Analyze large engineering datasets to identify trends, correlations, and potential root causes related to process performance, yield, and defects
  • Support the refinement of Key Process Input Variable (KPIV) anomaly detection systems for HAMR and PMR processes
  • Develop and maintain dashboards (e.g., Tableau) to visualize process performance, equipment health, and OEE insights
  • Assist in prototyping, testing, and evaluating machine learning and AI models for manufacturing applications
  • Collaborate with cross‑functional teams including Process, Equipment, Maintenance, Launch, and IT to translate data insights into actionable improvements

What Will You Learn and Embark on at the Start?

During this internship, you will gain hands‑on experience working with real production data (HAMR/PMR) and exposure to semiconductor and thin‑film manufacturing processes. You will develop practical experience applying AI and machine learning in a manufacturing environment, learn process control and OEE analytics, and contribute to solutions that can directly impact production performance.

About you:

We’re looking for someone who is:

  • Curious, proactive, and eager to learn in a high‑tech manufacturing environment
  • Analytical and detail‑oriented, with a strong interest in problem‑solving
  • Comfortable managing multiple tasks in a fast‑paced setting
  • A collaborative team player with clear communication skills
  • Self‑driven and open to exploring new tools, ideas, and approaches
  • Able to commit to a full‑time internship

Your experience includes:

  • Currently pursuing a Bachelor’s degree in Data Science, Computer Science, Engineering, AI, Analytics, or a related discipline
  • Programming experience in Python, R, C++, or C#
  • Exposure to machine learning model development or deployment
  • Experience with data visualization tools such as Tableau or Power BI
  • Data analytics and basic statistical concepts
  • SQL or database querying
  • Foundational understanding of machine learning or AI concepts
  • Familiarity with GitHub
  • Exposure to Linux environments is a plus
  • Basic web technologies (JavaScript, HTML, JSON)

Location:

Our Woodlands site is one of the largest electronics manufacturing sites in Singapore, housing our recording media operations. Spread over three sites, it is easily accessible via bus or from the MRT Station, with many employees taking mass transportation to work. Here at work, you can enjoy breakfast, lunch, dinner, and snacks at our onsite canteen and coffee shop. We offer a range of facilities including an in-house gym and dance studio, as well as after-work badminton and table tennis competitions. On-site celebrations and community volunteer opportunities also abound.

 

Location: Woodlands, Singapore, W1
Travel: None

 

 

 

 

 

 

 


 

 

 

 

 

About Us

With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape. 

We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.

Seagate is powered by our talented and passionate workforce of 29,000 employees across the globe who embody our core values: integrity, innovation, and inclusion. Striving towards excellence every single day, we show up with these values for our customers, business partners, shareholders, and communities alike.

Join us and get inspired to make a difference in the datasphere!

 

 

Seagate is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, race, color, ancestry, national origin, citizenship status, physical or mental disability, genetic information, marital status, sex (which includes pregnancy, childbirth, breastfeeding, or related medical conditions), gender, gender identity, gender expression, sexual orientation, religion, military and veteran status, or other status protected by applicable law.  We will consider for employment qualified applicants with arrest and conviction records. EEO Know Your Rights Poster 

Seagate will provide reasonable accommodation with the application process upon request as required to comply with applicable laws. If you need assistance or accommodation due to a disability, you may contact us at accommodations@seagate.com.

All Seagate jobs will remain open for a minimum of seven days.

For information on how Seagate collects and uses your personal information during the application process, please review the Applicant Privacy Statement.

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