Semiconductor Data Science and Machine Learning Engineer

Overview

Keysight is 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 more about what we do.

Our award-winning culture 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 a Semiconductor Data Analytics and Machine Learning Engineer at 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

Responsibilities

We are seeking a Semiconductor Data Science & Machine Learning Engineer to contribute to the development and operationalization of data and AI systems supporting advanced analytics and automation. This role is hands-on across data, software, and machine learning systems, with a strong emphasis on working with and enhancing existing production workflows all within the context of semiconductor integrated circuit fabrication.

Key Responsibilities: Provide production support for deployed data pipelines and ML systems, including monitoring, debugging, and issue resolution Implement and maintain data pipelines and workflow components across ingestion, processing, and delivery Develop and deploy machine learning models and inference pipelines within established systems Contribute to system enhancements and performance optimization across data and ML workflows Support integration of ML services into production environments (APIs, batch systems, internal platforms) Participate in technical problem-solving and design discussions within existing architectural frameworks

Qualifications

Required Qualifications Bachelor’s, Master’s, or Ph.D. in Data Science, Electrical Engineering, Computer Science, Materials Science, Applied Physics, or related fields. Strong programming experience in Python and at least one additional language (e.g., C++, C#, Java/JS) 3-4 years experience working with data pipelines, ETL/ELT processes, and database systems (SQL) Hands-on experience with: Supervised and unsupervised learning techniques Deep learning architectures (e.g., CNNs, Vision Transformers, or equivalent) Experience working with high-dimensional data (image, signal, or large-scale structured datasets) Familiarity with model development lifecycle (data prep, training, validation, deployment concepts) Experience contributing to production systems or deployed applications (debugging, maintenance, iteration)

Preferred Qualifications

Direct experience with Semiconductor processes, process engineering/development and associated data Familiarity with advanced representation learning (transformers, contrastive/self-supervised learning) Exposure to multi-domain signal processing (spatial, spectral, temporal analysis) Experience with real-time or near-real-time data/ML systems Experience with cloud-native data and AI platforms (including ML platforms and workflow orchestration) Familiarity with foundation model services / LLM platforms (e.g., AWS Bedrock or equivalent)

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)

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