Algorithm Developer III
Core
Develop automated systems and predictive/control models at the intersection of AI/ML, theoretical physics, and systems engineering for semiconductor manufacturing.
Role type
Senior IC algorithm developer (physics-informed ML)
Builds
Intelligent automation solutions, predictive models, and control systems for semiconductor manufacturing processes
Domain
Semiconductor manufacturing / Physics-informed machine learning
Deliverable
production ML models
Required skills
Theoretical physics, applied mathematics, computational science, machine learning, data science, statistical modeling, software engineering, sensor data analysis, physics simulations
Preferred skills
High-quality code development (GitHub/publications), CAE, engineering simulation, hardware systems, robotics, interdisciplinary collaboration
Technologies
Physics-informed neural networks (PINNs), sensor data pipelines, control systems, dashboards
Responsibilities
Design scalable data pipelines for high-volume sensor data; Identify and model underlying physical relationships; Develop predictive and control algorithms combining physics-based methods and ML; Build robust software modules integrating with manufacturing tools; Collaborate with multidisciplinary teams; Develop ML surrogates or reduced order models; Optimize accuracy/performance tradeoffs; Analyze sensor/metrology data to improve models; Implement models for user-facing applications
Seniority
Senior, hands-on IC
