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Onto Innovation

Semiconductor process-control metrology and inspection equipment

Algorithms Engineer Intern

Data Science +1Posted on Apr 18
Internship · Summer 2026Stanhope, NJ, USAIn-person

About the Job

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related technical field.
  • Strong experience with algorithm development, data engineering, or machine learning pipelines.
  • Hands-on experience working with large, unstructured or semi-structured datasets.
  • Familiarity with principles of ground truth creation, dataset versioning, and experimental reproducibility.
  • Experience defining evaluation metrics and benchmarking workflows for algorithms or ML models.
  • Proficiency in Python and common data/ML tooling.
  • Strong analytical thinking and ability to work independently on ambiguous, foundational problems.

Responsibilities

  • Establish the foundational data and evaluation infrastructure required to accelerate defect detection algorithm development.
  • Lead a focused effort to transform raw scan data into a reproducible, well‑structured dataset with associated ground truth and evaluation pipelines.
  • Enable reliable benchmarking of both classical algorithms and machine learning / AI models, laying the groundwork for future algorithm innovation.

About the Company

Onto Innovation

Semiconductor process-control metrology and inspection equipment

Onto Innovation provides semiconductor capital equipment and software for process control, metrology, and inspection. Its products include 3D metrology, macro defect inspection, unpatterned wafer quality assessment, and factory analytics software; these tools measure nanoscale transistor features and micron-level die interconnects, while software analyzes the data to give actionable manufacturing insights and customers buy equipment with ongoing service contracts and licenses. The company differentiates itself by offering an end-to-end process-control portfolio that spans front-end fabrication and back-end packaging, a result of the 2019 merger of Nanometrics and Rudolph Technologies, with integrated hardware and analytics that support complex architectures like chiplets. Its goal is to help semiconductor manufacturers increase device yield, boost productivity, and lower total production costs, aligning with capital spending cycles in AI workloads and advanced node technologies.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Wilmington, MA
Founded
2019

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