Bachelor's degree in Industrial Engineering, Manufacturing Engineering, or a related engineering field.
5+ years of experience in semiconductor manufacturing or high-volume, complex manufacturing environments.
Strong analytical skills with experience in data analysis, modeling, and visualization.
Working knowledge of capacity planning, scheduling, and productivity analysis.
Proficiency with Excel, SQL, Python, SpotFire, JMP or similar analytical tools.
Strong communication skills and ability to work effectively in cross-functional teams.
Ability to work on site in Fort Collins, Colorado. This is not a remote work opportunity.
Preferred
Experience implementing automated material handling systems.
Experience in semiconductor wafer fab, assembly/test, or advanced packaging operations.
Familiarity with MES systems, factory automation, or material handling systems.
Experience with simulation or optimization tools.
Knowledge of Lean, Six Sigma, or similar continuous improvement methodologies.
Masters degree in Industrial Engineering or related field.
Key Competencies
Data-driven decision making (able to analyze and present data effectively to others)
Systems thinking in complex manufacturing environments
Continuous improvement mindset
Project management and prioritization
Clear communication with technical and non-technical stakeholders
Perceptive and observant. Ability to assess situations with open-mindedness and flexibility. Understands and integrates systems and dependent components to meet customer needs creatively and effectively.
Additional Job Description:
Compensation and Benefits
The annual base salary range for this position is $73,100 - $117,000
This position is also eligible for a discretionary annual bonus in accordance with relevant plan documents, and equity in accordance with equity plan documents and equity award agreements.
Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race, color, creed, religion, sex, sexual orientation, nation
Benefits
Dental insuranceVision insurance401(k)Paid time offRemote work optionsEquity / stock optionsPerformance bonus
Additional Information
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Job Description:
Industrial Engineer Job Description
As an Industrial Engineer in the Wireless Semiconductor Division (WSD) fab in Fort Collins, you will collaborate with Engineering, Operations, and IT to optimize manufacturing. Key responsibilities include sustaining high-volume production, long-term capacity planning, factory scheduling, and leading automation and efficiency projects. You will work cross-functionally to ensure safe, efficient, and scalable factory performance.
Specific Objectives and Responsibilities:
Support day-to-day manufacturing operations to maintain output, cycle time, and delivery commitments.
Analyze production performance, identify bottlenecks, and implement corrective actions to sustain stable operations.
Develop and maintain standard work, labor models, and operational metrics.
Own long-term and mid-range capacity planning models for tools, labor, and supporting infrastructure.
Evaluate demand forecasts, product mix changes, and technology transitions to ensure capacity readiness.
Support capital planning by providing data-driven recommendations for equipment purchases and factory expansions.
Develop, maintain, and optimize factory scheduling strategies to maximize throughput and on-time delivery.
Partner with Production Control, Engineering, and Operations teams to balance WIP, cycle time, and tool utilization.
Use simulation, optimization, and scheduling tools to assess scenarios and drive decision-making.
Support and deploy factory automation solutions, including material handling, MES enhancements, data systems, and decision-support tools.
Identify opportunities to automate manual processes and improve data accuracy and responsiveness.
Collaborate with IT and external automation resources to ensure scalable and robust system implementations.
Lead and support continuous improvement projects focused on productivity, cost reduction, yield support, and cycle time improvement.
Apply Industrial Engineering and Lean methodologies (e.g., value stream mapping, standard work, line balancing).
Quantify benefits, track results, and present findings to leadership.