Senior Engineer, Operations Improvement Application Solutions
On-siteBoise, Idaho, United States
Job Summary
Build and improve scheduling automation, manufacturing decision-support reporting, and line management analytics to elevate output, cycle time, and cost performance. Design, build, and manage applications, dashboards, and web-based tools that support production operations and business objectives. Lead cross-functional improvement projects centered on scheduling, AMHS performance, cycle time reduction, and operational efficiency. Analyze manufacturing data to identify optimization opportunities and implement data-driven solutions that reduce variability and eliminate waste. Collaborate with Operations, Engineering, and international teams to resolve issues, test software releases, and advance strategic projects. Master's degree in Computer Science or related field required with 2-5 years of web development and project management experience.
Required Qualifications
- Master's degree in Computer Science, Industrial Engineering, Supply Chain Engineering, or a related field
- 2-5 years in an engineering-related role performing web development and project management
- Proficiency in SQL and TypeScript
- Experience with at least one additional programming language such as Snowflake, Python, Perl, VBA, or JavaScript
- Demonstrated experience organizing and leading data-focused projects that drive fab optimization with quantifiable business results
- Experience developing responsive web applications using Angular and cloud-native platforms such as OpenShift
- Manufacturing science knowledge including scheduling, inventory management, and capacity planning
Desired Qualifications
- 2+ years experience supporting semiconductor manufacturing operations, production scheduling, line management, or Automated Material Handling Systems (AMHS)
- Experience developing advanced web-based reporting, analytics platforms, and process automation solutions
- Leading cross-functional projects and communicating complex technical concepts to diverse audiences
- Working with AI agents to boost productivity, automation, and operational efficiency
- Experience using AI-assisted analytics to enhance data interpretation, anomaly detection, and manufacturing process optimization initiatives
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