Develop physics-based models for Thermal/CFD/Chemistry applications for components in semiconductor capital equipment industry. Work with a team of interdisciplinary experts to drive product development and design decisions.
Requirements
- PhD in Mechanical Engineering or closely related field
- Strong emphasis in Computational Fluid Dynamics, Heat transfer, Chemistry, or related fields
- >6 years of experience in a related industry (e.g., semiconductor, gas turbine, aerospace, automotive, etc.)
- Ability to work with a team to drive product development and design decisions
- Strong ability and understanding of AI/ML concepts and hybrid physics-based AI/ML modeling software
- Experience with machine learning algorithms and tools (e.g., TensorFlow, PyTorch, Scikit Learn etc.) and deep learning
- Coding ability to supplement commercial software for specific applications as needs arise
- Knowledge of chemistry, semiconductor metrology methods, and hardware designs in a vacuum environment
Benefits
- Comprehensive set of outstanding benefits
- Generous Paid Time Off
- 401k Matching
- Retirement Plan
- Four Day Work Week
- Generous Parental Leave
- Tuition Reimbursement
- Relocation Assistance