Mfg Engineer, Advanced

Keysight Technologies, Inc.•Santa Rosa, CA

21h•Onsite

About The Position

Keysight is at 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. 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.

Requirements

Bachelor’s degree in Industrial Engineering, Manufacturing Engineering, or related engineering field
3+ years of industry experience in Industrial Engineering, Manufacturing Engineering, or related Engineering work
Experience in Semiconductor wafer fab is strongly preferred. Will consider other experience in a highly regulated, high tech electronic manufacturing environment
Experience supporting continuous improvement initiatives and driving Lean manufacturing
Working knowledge of Capacity Analysis and Constraint Identification (CI)
Experience with ERP and MES data structures, installations, and management
Strong analytical skills with the ability to turn data into clear insights
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).

Nice To Haves

Experience with SPC, statistical analysis, or structured problem solving
Exposure to Lean manufacturing or continuous improvement methods
Experience with Power BI, SQL, JMP, and/or Python to build analytical models, dashboards, and actionable insights

Responsibilities

Support continuous improvement by analyzing processes, identifying waste, and recommending workflow and stability enhancements.
Assist in capacity modeling by collecting accurate data, validating assumptions, and summarizing insights for production planning.
Contribute to improvement planning by identifying opportunities from operational data, prioritizing initiatives, and maintaining visibility of progress.
Identify constraints and performance gaps using flow, WIP, and cycle‑time data, quantify improvement opportunities, and help drive sustained improvements.
Support the MES installation project by assisting with requirement gathering, workflow mapping, and data preparation.
Help coordinate between engineering, operations, and IT/OT teams to ensure the MES installation aligns with factory needs.
Assist with documentation, training materials, and user readiness activities for the MES rollout.
Support post‑installation stabilization by helping identify issues, collecting feedback, and tracking fixes.
Collect and analyze flow, WIP, and cycle‑time data to support improvement projects and daily operations.
Assist with implementing standard work, visual controls, and systems to stabilize flow.
Support production scheduling by reviewing tool availability, WIP levels, and constraints to help ensure realistic and efficient schedules.
Help identify bottlenecks and opportunities to reduce queue times or improve throughput.