Algorithms Engineer Internship

Onto Innovation • Budd Lake, NJ

1d

About The Position

Onto Innovation is a leader in process control, combining global scale with an expanded portfolio of leading-edge technologies that include: 3D metrology spanning the chip from nanometer-scale transistors to micron-level die-interconnects; macro defect inspection of wafers and packages; metal interconnect composition; factory analytics; and lithography for advanced semiconductor packaging. Our breadth of offerings across the entire semiconductor value chain helps our customers solve their most difficult yield, device performance, quality, and reliability issues. Onto Innovation strives to optimize customers’ critical path of progress by making them smarter, faster and more efficient. Job Summary & Responsibilities Onto is seeking an Algorithms Engineer to establish the foundational data and evaluation infrastructure required to accelerate defect detection algorithm development. In this role, you will lead a focused effort to transform raw scan data into a reproducible, well‑structured dataset with associated ground truth and evaluation pipelines. Your work will enable reliable benchmarking of both classical algorithms and machine learning / AI models, laying the groundwork for future algorithm innovation.

Requirements

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Applied Mathematics, Physics, 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

• 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

Benefits

• health, dental, and vision coverage
• life and disability insurance
• PTO
• 401(k) with employer match
• Employee Stock Purchase Program (ESPP)
• wellness initiatives

What This Job Offers

• Career Level: Intern
• Number of Employees: 501-1,000 employees