New

Semiconductor Data Science and Machine Learning Engineer

Keysight Technologies
paid holidays, tuition reimbursement, flex time, 401(k)
United States, California, Santa Rosa
1400 Fountaingrove Parkway (Show on map)
Jul 08, 2026
Overview Keysightis on the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~15,000 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn moreabout what we do. Ouraward-winningculture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions.We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. Keysight Technologies, the world's premier measurement company, has an opening for aSemiconductor Data Analytics and Machine Learning Engineerat the High Frequency Technology Center (HFTC) in Santa Rosa, California. Live in beautiful Sonoma County amongst vineyards, redwood forests, rivers, lakes and coastline while working on state-of-the-art ICs and devices. HFTC invents and delivers world-leading compound semiconductor and integration technology in our fabrication facilities located in Santa Rosa. Our team enables Keysight product leadership through semiconductor innovation for differentiated performance. Responsibilities The Semiconductor Data Science and Machine Learning Engineer will be part of a team to develop semiconductor-related automated vision systems and big data projects. This position will help to improve yield, improve process control, and increase opereational effiency. This position will develop and refine machine learning models, analyze complex datasets, and apply deep semiconductor process knowledge to enable smart manufaturing goals. The role will include collaborating with crossfunctional teams to build scalable data systems and analytical tools that enhance defect analysis, streamline data review, and strengthen feedback loops across HFTC. Key Responsibilities: Lead crossfunctional engagement with semiconductor fab process engineering and integration teams to align data insights, clarify process requirements, and ensure model yield framework outputs effectively support decisionmaking. Develop, train, and continuously refine machine learning models using optical inspection data to support yield determination, defect classification, and timely process feedback. Build scalable data pipelines, tooling, and analytical frameworks capable of supporting complex defect analysis and highvolume data processing. Apply deep semiconductor process knowledge to validate model assumptions, anticipate edge cases, and ensure meaningful interpretation of data in its physical process context. Communicate findings, process implications, and recommended actions clearly to stakeholders ranging from peers to leadership. Qualifications 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+ years of applicable experience). At least 3 years of experience in semiconductor manufacturing, processes or integration engineering. Ability to work with crossfunctional technical teams, interfacing with process and integration teams. 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. Under these laws and regulations, U.S. persons (which includes U.S. citizens, U.S. nationals, lawful permanent residents, refugees, and asylees) working for Keysight can access export-controlled items without authorization from the U.S. government. For any individual who is not a U.S. person, Keysight may need authorization from the U.S. Department of State, U.S. Department of Commerce, or other appropriate federal agency before the individual can access export-controlled items. Employment in this position for non-U.S. persons is contingent on Keysight's ability to obtain any required government authorizations.Candidates must be a U.S. citizen or lawful permanent resident of the U.S., or protected individual, having authorization from the U.S. government for export-controlled items under 8 U.S.C. 1324b(a)(3). Careers Privacy Statement*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, disability or any other protected categories under all applicable laws. The level of role will be based on applicable experience, education and skills; Most offers will be between the minimum and the midpoint of the Salary Range listed below. Santa Rosa, CA MIN $126,930 MID $169, 240- MAX $211,550 Note:For other locations, pay ranges will vary by region This role is eligible for Keysight Results Bonus Program US Employees may be eligible for the following benefits: 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) #LI-MED1