Asm Senior Engineer (II), Systems Engineering at ASM leads development and integration of advanced sensor technologies for semiconductor manufacturing equipment. Drives sensor architecture, data acquisition, and analytics.
Responsibilities
Lead 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 and advanced control applications
Drive sensor system design reviews focused on performance, scalability, and robustness
Identify emerging sensor technologies and assess applicability to future products
Lead integration of sensors with hardware, firmware, software, and control systems
Develop and implement data acquisition architectures for 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 insights from sensor and equipment datasets
Apply statistical analysis, signal processing, and machine learning techniques
Qualification
BS in Electrical EngineeringExperience with data analysisMS or PhD in EngineeringExperience with optical sensorsExperience with edge computingExperience with machine learningKnowledge of database systemsWhat Makes You Successful
Required
BS in Electrical Engineering, Systems Engineering, Physics, Optical Engineering, Mechanical Engineering, Computer Engineering, Data Science, 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 Engineering, Physics, Data Science, 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.
