AI/ML Algorithm Developer
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, simulation-driven engineering, machine learning, data science, statistical modeling, software engineering, algorithm design, physics-informed neural networks (PINNs), sensor data processing, model optimization
Preferred skills
None stated
Technologies
None explicitly listed
Responsibilities
Design and develop scalable data pipelines for high-volume sensor data; Identify and model underlying physical relationships governing process behavior; 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 based on physics simulations; Optimize accuracy/performance tradeoffs; Analyze sensor and metrology data to improve models; Implement models for user-facing applications in control systems or dashboards; Maintain a clean and consistent code base