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Internship Semiconductor Engineer Jobs (NOW HIRING)

Advantest

Machine Learning Engineer

San Jose, CA · On-site

Perform feature engineering and exploratory data analysis on semiconductor datasets. * Contribute ... Hands-on experience with ML modeling via coursework, internships, or independent projects.

Advantest

Machine Learning Engineer

San Jose, CA · On-site

Perform feature engineering and exploratory data analysis on semiconductor datasets. * Contribute ... Hands-on experience with ML modeling via coursework, internships, or independent projects.

ASM

Simulation and Modeling Intern (Fall 2026)

Phoenix, AZ · On-site

$16.75 - $21.50/hr

... semiconductor industry. Our interns will work alongside industry projects and gain valuable insights into our core engineering roles. This program is designed to grow and shape the industry leaders ...

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Contractor

Tampa, FL · On-site

Experience in a semiconductor lab or cleanroom environment. Programming or scripting experience for data analysis. Project Outcome By the end of the internship, the intern is expected to deliver a ...

ASM

Simulation and Modeling Intern (Fall 2026)

Phoenix, AZ · On-site

$16.75 - $21.50/hr

... semiconductor industry. Our interns will work alongside industry projects and gain valuable insights into our core engineering roles. This program is designed to grow and shape the industry leaders ...

Advantest

Application Engineer Intern

San Jose, CA · On-site

Advantest, a leading Semiconductor Test and Measurement Company, is seeking self-driven and creative Application Engineers who are interested in the field of Semiconductor Testing. The internship ...

Onto

Contractor

Tampa, FL · On-site

Experience in a semiconductor lab or cleanroom environment. Programming or scripting experience for data analysis. Project Outcome By the end of the internship, the intern is expected to deliver a ...

Advantest

Application Engineer Intern

San Jose, CA · On-site

Advantest, a leading Semiconductor Test and Measurement Company, is seeking self-driven and creative Application Engineers who are interested in the field of Semiconductor Testing. The internship ...

Advantest

AI Application Engineer Intern

San Diego, CA · On-site

: Advantest, a leading Semiconductor Test and Measurement Company, is seeking self-driven and creative Application Engineers who are interested in the field of Semiconductor Testing. The internship ...

Advantest

Application Engineer Intern

San Jose, CA

Advantest, a leading Semiconductor Test and Measurement Company, is seeking self-driven and creative Application Engineers who are interested in the field ofSemiconductor Testing.The internship ...

Onto

Optical Systems Engineer Internship

Milpitas, CA

$19.50 - $25.25/hr

Our breadth of offerings across the entire semiconductor value chain helps our customers solve ... Job Summary & Responsibilities The Optical / Systems Engineering Intern will support the ...

Onto

Optical Systems Engineer Internship

Milpitas, CA · On-site

$19.50 - $25.25/hr

Our breadth of offerings across the entire semiconductor value chain helps our customers solve ... Job Summary & Responsibilities The Optical / Systems Engineering Intern will support the ...

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How much do internship semiconductor engineer jobs pay per hour?

As of May 28, 2026, the average hourly pay for internship semiconductor engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.
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Internship Semiconductor Engineer jobs near you
Infographic showing various Internship Semiconductor Engineer job openings in the United States as of May 2026, with employment types broken down into 95% Full Time, and 5% Contract. Highlights an 50% Physical, 47% Hybrid, and 3% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.

Machine Learning Engineer

Advantest

San Jose, CA • On-site

Other

This job post has expired today. Applications are no longer accepted.

Job description

Advantest is seeking a motivated Junior Machine Learning Engineer to support the development of data-driven and ML-powered solutions for semiconductor R&D, test, and operations teams. In this role, you'll contribute to building predictive models, conducting statistical analyses, and assisting in the development of light-to-moderate data pipelines that help transform complex semiconductor datasets into actionable insights.
This position is ideal for a recent graduate with strong foundational ML skills who is eager to learn, collaborate, and grow in a fast-paced, technically rich environment. You'll work alongside experienced engineers, data scientists, and domain experts while gaining hands-on experience across the ML lifecycle-from data preparation to model deployment
Key Responsibilities
Machine Learning & Advanced Analytics

  • Develop and evaluate ML models (e.g., classification, anomaly detection, regression, time-series analysis).
  • Perform feature engineering and exploratory data analysis on semiconductor datasets.
  • Contribute to model deployment workflows in collaboration with ML data scientists, following MLOps best practices.
  • Assist in implementing model monitoring, retraining workflows, and documentation.
  • Experiment with modern analytics techniques, including LLM-based or generative-AI methods, under guidance from senior team members.
Data Engineering & Pipeline Support
  • Help build and maintain ETL/ELT workflows that prepare data for analysis and modeling.
  • Support data quality checks, versioning, and data validation tasks.
  • Work with cloud and on-prem tools to help ensure data accessibility for ML applications.
Cross-Functional Collaboration
  • Work with semiconductor engineers and data scientists to translate domain challenges into analytical tasks.
  • Support the creation of dashboards, reports, and visualizations that communicate insights clearly.
  • Learn and apply semiconductor-specific data concepts with the support of senior mentors.
Education and Experience
  • B.S. or M.S. in Computer Science, Data Science, Engineering, Applied Math, or a related quantitative field.
  • Hands-on experience with ML modeling via coursework, internships, or independent projects.
  • Exposure to data engineering concepts-coursework or project-based experience is acceptable.
Required Technical Skills
  • Proficiency in Python and ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn).
  • Familiarity with Pandas, NumPy, and basic data manipulation tools.
  • Understanding of API development concepts.
  • Exposure to containerization (e.g., Docker) and Linux environments.
  • Experience with dashboarding or visualization tools (Power BI, Tableau, Dash, etc.).
  • Familiarity with DevOps principles and tools.

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