Semiconductor Data Science and Machine Learning Engineer

Overview

Keysight Technologies is a leader in electronic design, simulation, prototyping, test, manufacturing, and optimization, serving markets such as communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductors.

The Semiconductor Data Analytics and Machine Learning Engineer will work at the High Frequency Technology Center (HFTC) in Santa Rosa, California, contributing to semiconductor innovation through data-driven solutions and machine learning.

The Semiconductor Data Science and Machine Learning Engineer will develop automated vision systems and big‑data projects to improve yield, process control, and operational efficiency.

Key responsibilities include:

• Lead cross‑functional engagement with semiconductor fab process engineering and integration teams to align data insights, clarify process requirements, and ensure model yield framework outputs effectively support decision-making.
• Develop, train, and continuously refine machine learning models using optical inspection data for yield determination, defect classification, and timely process feedback.
• Build scalable data pipelines, tooling, and analytical frameworks capable of supporting complex defect analysis and high‑volume data processing.
• Apply deep semiconductor process knowledge to validate model assumptions, anticipate edge cases, and ensure meaningful interpretation of data within its physical context.
• Communicate findings, process implications, and recommended actions clearly to stakeholders ranging from peers to leadership.

• Bachelor’s, Master’s, or Ph.D. in Data Science, Electrical Engineering, Computer Science, Materials Science, Applied Physics, or related fields.
• 5+ years of experience developing and deploying machine learning models using ONNX for classification, pattern recognition, anomaly detection, or related tasks (MS with 2‑3+ years/PhD with 1+ year of applicable experience).
• At least 3 years of experience in semiconductor manufacturing, processes, or integration engineering.
• Ability to work with cross‑functional technical teams while interfacing with process and integration groups.
• Strong communication and collaboration skills are required.

Location: This role requires an in‑person, hands‑on engineer who can physically work with the test systems in Santa Rosa, CA.

This position requires access to certain goods, software, technology, or technical data subject to U.S. export control laws and regulations. Candidates must be a U.S. citizen, lawful permanent resident, or protected individual authorized under 8 U.S.C. 1324b(a)(3).

Keysight is an Equal‑Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability, and in all other applicable ways.

US Employees May Eligible For:

• Medical, dental and vision
• Health Savings Account
• Health Care and Dependent Care Flexible Spending Accounts
• Life, Accident, Disability insurance
• Business Travel Accident and Business Travel Health
• 401(k) Plan
• Flexible Time Off, Paid Holidays
• Paid Family Leave
• Discounts, Perks
• Tuition Reimbursement
• Adoption Assistance
• ESPP (Employee Stock Purchase Plan)

Santa Rosa, CA – Minimum $126,930, Midpoint $169,240, Maximum $211,550.

Note:

For other locations, pay ranges will vary by region. This role is eligible for Keysight Results Bonus Program.