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AZ Phoenix (ASM America Inc.)full timeOn Site

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Asm The Senior Engineer (II), Systems Engineering leads the development and integration of advanced sensor technologies for semiconductor manufacturing equipment. This role focuses on sensor architecture, data acquisition strategies, and data-driven decision-making to improve process understanding and equipment performance.

Responsibilities

Lead the development and integration of advanced sensor technologies for semiconductor manufacturing equipment
Define sensor architecture, performance requirements, interfaces, and validation strategies
Evaluate and select sensing technologies for process monitoring, equipment health monitoring, and advanced control applications
Drive sensor system design reviews focused on performance, scalability, and robustness
Identify emerging sensor technologies and assess their applicability to future ASM products
Lead integration of sensors with hardware, firmware, software, and control systems
Develop and implement data acquisition architectures for collecting high-quality sensor data
Define calibration, synchronization, and validation methodologies for multi-sensor systems
Support integration of optical, thermal, pressure, flow, plasma, gas, vibration, acoustic, and environmental sensors
Establish best practices for sensor characterization, performance evaluation, and deployment
Develop data analysis methodologies to extract meaningful insights from sensor and equipment datasets
Apply statistical analysis, signal processing, and machine learning techniques to identify patterns and correlations

Qualification

BS in Mechanical EngineeringExperience with data analysisMS or PhD in Mechanical EngineeringExperience with optical sensorsExperience with edge computingExperience with machine learningKnowledge of database systemsWhat Makes You Successful

Required

BS in Mechanical Engineering, Electrical Engineering, Systems Engineering, Physics, Optical Engineering, Computer Engineering, or a related technical discipline.
5+ years of experience in sensor systems, system integration, data acquisition, process diagnostics, or related engineering functions.
Experience integrating sensors into complex hardware systems.
Experience with data analysis, signal processing, and statistical methods.
Proficiency with data analysis tools such as Python, MATLAB, JMP, Minitab, or similar platforms.
Experience designing and executing experiments for sensor characterization and validation.
Strong systems-level problem-solving and troubleshooting skills.
Excellent communication and cross-functional collaboration skills.

Preferred

MS or PhD in Mechanical Engineering, Electrical Engineering, Chemical Engineering, Physics, or related technical field.
Experience with semiconductor equipment and semiconductor manufacturing processes.
Experience with optical sensors, spectroscopy, machine vision, imaging systems, gas sensing, plasma diagnostics, or environmental monitoring.
Experience with edge computing, Industrial IoT, and connected sensor systems.
Experience with machine learning, predictive analytics, and large-scale data processing.
Experience developing sensor-driven control strategies and process monitoring solutions.
Knowledge of database systems, cloud analytics platforms, and data infrastructure.
What Makes You Successful