Factory Control and Intelligent Automation Senior Engineer jobs in United States
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Seagate Technology · 17 hours ago

Factory Control and Intelligent Automation Senior Engineer

Seagate Technology is a leader in wafer manufacturing excellence, focused on ensuring peak performance of tooling on the factory floor. The Factory Control and Intelligent Automation Senior Engineer will lead the development of intelligent control systems and collaborate with various engineering teams to enhance automation and AI adoption in the manufacturing process.

Cloud StorageConsumer ElectronicsData StorageFlash StorageHardwareInformation ServicesManufacturingSoftware
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H1B Sponsor Likelynote

Responsibilities

Work as a Factory Control and Intelligent Automation Engineer, together with Equipment Engineering in Seagate’s advanced wafer manufacturing team, where you’ll be at the forefront of smart factory transformation
Thrive in this role if you are passionate about automation, robotics, and next‑generation smart factory systems
Lead efforts to build intelligent control systems, integrate sensor technologies, and translating innovative AI capabilities into robust, scalable controls systems that redefine operational excellence
Lead development and integration of intelligent control systems within production equipment and fab support systems
Deploy sensors, edge devices, and AI powered monitoring logic to enhance real time equipment health awareness
Build and maintain lightweight AI agents for anomaly detection, sensor validation, data conditioning, and automated interlocks
Collaborate with Equipment, Process, Yield, and Data Engineering teams to identify high‑value opportunities for automation and AI adoption
Support digitalization and hardware retrofit initiatives to enable data capture and closed‑loop automation on legacy tools
Drive structured root cause investigations combining hardware expertise, data analytics, and AI generated insights
Ensure solutions are robust, safe, maintainable, and aligned with factory control standards and change control procedures

Qualification

PythonML frameworksContainerization toolsSemiconductor equipment controlsData modelingAnomaly detectionSensor integrationProject managementCommunication skillsProblem-solvingTeam collaboration

Required

Proficiency in Python, ML frameworks (e.g., MLflow, KServe), and containerization tools (Docker, Kubernetes)
Excellent engineering, problem-solving, communication, and project management skills
Strong written and verbal skills; ability to persuade and gain agreement with cross-functional teams
Passion for transforming traditional manufacturing through intelligent systems and data-driven insights
Deep understanding on semiconductor equipment hardware & controls and how their KPIV/KPOV signals reflect tool health and process stability
Experience in integrating sensors or edge modules into production tools
Experience using Python, Bash, or PowerShell for data modeling and automated control actions
Experience applying lightweight ML techniques—such as rule-based intelligence, or simple classifiers—to improve equipment reliability and automated decision logic
Demonstrated commitment to staying current with new AI techniques, sensor technologies, and intelligent automation trends—and applying them meaningfully in a fab environment
Bachelor's degree in engineering related field (i.e. Electrical, Mechanical, Chemical, Computer Engineering, Materials, Physics, or Information Technology) and 5+ years of experience or master's degree in the same and 3+ years' experience or PhD and 0+ years' experience or equivalent experience and education

Preferred

Interest or experience in tool automation or robotics is a plus
Familiarity with using cameras for alignment, endpoint monitoring, wear detection, or component verification, using practical OpenCV or edge inference workflows
Exposure to deploy logic or models on industrial gateways, microcontrollers, or platforms like Jetson/Raspberry Pi for real-time hardware interaction
Background in adding sensors, upgrading interlocks, or modernizing legacy modules to support AI driven monitoring, data collection, or automated control actions
Ability to package, version, and maintain small AI agents or decision scripts, ensuring safe deployment with clear rollback and fail‑safe mechanisms
Working knowledge of SPC, DOE, DMAIC, or 8D to drive data‑backed equipment improvements that complement AI‑generated insights

Benefits

Eligibility to participate in discretionary bonus program
Medical
Dental
Vision
Life insurance
Short-and long-term disability
401(k)
Employee stock purchase plan
Health savings account
Dependent care
Healthcare spending accounts
Paid time off
12 holidays
Flexible time off provided pursuant to Seagate policy
A minimum of 48 hours of paid sick leave
16 weeks of paid parental leave

Company

Seagate Technology

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Seagate is a data storage and hardware company that offers hard disk drives (HDDs), solid-state drives (SSDs), and other storage solutions.

H1B Sponsorship

Seagate Technology has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (29)
2024 (26)
2023 (51)
2022 (77)
2021 (68)
2020 (77)

Funding

Current Stage
Public Company
Total Funding
$4B
Key Investors
ValueAct Capital
2025-05-12Post Ipo Debt· $400M
2025-01-30Post Ipo Debt· $1.3B
2023-09-08Post Ipo Debt· $1.3B

Leadership Team

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Dave Mosley
Chief Executive Officer
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Stephen Luczo
CEO
Company data provided by crunchbase