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# Systems Engineer IV

- **Company:** Applied Materials
- **Location:** Santa Clara, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $161,000.0 - $221,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Systems Engineering, Communications Protocols, Machine Learning, Reliability Engineering, Software Engineering, Software Requirements Analysis, Systems Architecture, Systems Integration, Data Analytics
- **Published:** June 18, 2026
- **Apply:** https://amat.wd1.myworkdayjobs.com/External/job/Santa-ClaraCA/Systems-Engineer-IV_R2620902

## About the Role

* Bachelor's or Master's degree in Electrical Engineering, Mechanical Engineering, Systems Engineering, or a related field
 * 6-10+ years of relevant experience
 * Proven experience in complex system integration within semiconductor equipment, industrial systems, or similar domains
 * Strong understanding of sensor technologies (e.g., pressure, temperature, flow, vibration, electrical signals)
 * Experience with data acquisition systems and industrial communication protocols
 * Knowledge of system architecture, system integration, and requirements definition
 * Familiarity with predictive maintenance, diagnostics, and reliability engineering concepts

## Description

* Define and implement end-to-end system architectures for sensor integration across equipment and subsystems
 * Design scalable solutions supporting both new product development and retrofit of existing tools
 * Ensure seamless integration across hardware, controls, and software interfaces

Sensor Strategy & Deployment

 * Identify and deploy sensors aligned to failure modes, diagnostics, and predictive maintenance use cases
 * Collaborate with internal engineering teams and external suppliers to evaluate and integrate new sensing technologies
 * Define requirements for sensor performance, accuracy, and reliability, * Translate system requirements into data-driven maintenance capabilities, including anomaly detection and failure prediction
 * Partner with software engineering and data science teams to integrate analytics and AI/ML models
 * Support development of automated diagnostics and maintenance recommendations, * Define and execute system-level validation plans to verify sensor accuracy and performance
 * Support reliability engineering by mapping failure modes to measurable signals and diagnostics
 * Ensure system robustness and performance across operating conditions, * Lead projects or functional teams with moderate scope, complexity, and resource requirements
 * Communicate complex technical concepts effectively and influence stakeholders to align on solutions
 * Collaborate cross-functionally to solve complex technical challenges and drive innovation, * Apply advanced analytical thinking to identify and resolve complex system-level issues
 * Drive improvements to products, processes, and services based on business and technical challenges
 * Contribute to achieving customer, operational, and project objectives in alignment with organizational goals


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