Semiconductor Fab Industrial Systems Engineer

Keysight Technologies, Inc.•Santa Rosa, CA

16h•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. 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. Industrial Systems Engineer – Semiconductor Operations Location: Santa Rosa, CA Work Mode: Onsite Role Type: Expert Individual Contributor (non people manager) Position Summary We are seeking an Industrial Systems Engineering to lead the end to end factory performance across HFTC semiconductor operations, with explicit accountability for Capacity, OEE, and Flow optimization across the full HFTC ecosystem. This role is a hands on technical leader who partners closely with Operations, Process Engineering, Equipment Engineering, Planning/Supply Chain, and Business IT/OT to translate business demand into measurable improvements in throughput, cycle time, delivery predictability, and cost. This is a non people manager role with strong expectations for technical leadership, mentorship, and cross functional program execution.

Requirements

Bachelor’s degree in Industrial Engineering, Industrial & Systems Engineering, Manufacturing Engineering, Operations Research, or related field.
8+ years experience in industrial engineering, factory systems, or manufacturing analytics in semiconductor manufacturing or similarly complex manufacturing environments.
Demonstrated expertise owning capacity modeling, constraint management, OEE/tool productivity improvement, and end to end flow/cycle time optimization.
Proven ability to influence across organizations, resolve tradeoffs, and communicate technical results clearly to drive execution.
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

Master’s degree in Industrial Engineering, Operations Research, Systems Engineering, or a related quantitative discipline.
Experience designing or improving factory scheduling/dispatch systems and translating system changes into measurable operational outcomes.
Lean / Six Sigma certification or equivalent structured problem solving track record.
Experience standardizing IE methods and reporting frameworks across organizations or sites.
Power BI — dashboards, operational analytics, performance storytelling
SQL — data extraction, transformation, and repeatable analysis
JMP or equivalent statistical tools — DOE, regression, variability reduction
Python — automation, modeling, analytics pipelines, scenario simulation
Discrete event simulation tools (FlexSim, Simul8, Etc.) — capacity, flow, and WIP modeling
Advanced Excel — modeling, scenario analysis, structured problem solving

Responsibilities

End to End Capacity Ownership
Develop, maintain, and continuously improve HFTC end to end capacity models and scenario analyses (short, mid, and long range).
Identify and quantify bottlenecks and constraints; recommend actions across loading, rebalancing, staffing, operating changes, or capital with clear tradeoffs.
Partner with planning and operations to align demand, starts, and delivery commitments to realistic capacity and execution plans.
Provide data driven justification for capital investment decisions, including timing, risk, and expected impact.
OEE, Productivity, and Flow Optimization
Define and standardize OEE and tool productivity metrics; lead loss tree and root cause analysis.
Drive tool productivity improvement programs with measurable and sustained outcomes.
Apply Theory of Constraints and variability reduction to stabilize flow, reduce WIP, and improve cycle time.
Validate that improvements translate into real, sustained factory performance.
Industrial Systems & Analytics
Own IE systems including capacity modeling, scheduling logic, forecasting, and standardized reporting.
Partner with OT/IT to define requirements, document use cases and validate system enhancements.
Ensure analytics and dashboards support predictable execution and decision making.
Technical Leadership & Program Governance
Lead the IE roadmap across capacity, OEE, and optimization with clear scopes, milestones, and measurable outcomes.
Drive cross functional alignment and execution cadence to convert analysis into sustained results.
Mentor industrial engineers; develop standard operating procedures, templates, and best known methods.