Physics AI Scientist III (Scientific Machine Learning/Semiconductor Engineering): Develops physics-aware surrogate models, foundation models, and optimization workflows for semiconductor engineering with an accent on scientific computing, physics-based simulation, and machine learning. Focus on designing operator-learning and foundation models, building scalable training and deployment workflows, and solving complex engineering problems with domain experts.
Location: Santa Clara, CA, United States; relocation eligible; travel required up to 10% of the time
Salary: $142,500–$196,500 per year
Company
hirify.global develops materials engineering solutions and equipment used to manufacture semiconductor chips and advanced displays.
What you will do
Develop Scientific AI models combining scientific computing, physics-based simulation, and machine learning for physics- and chemistry-based engineering problems.
Design and train surrogate models, operator-learning models, and foundation models for scientific simulations.
Collaborate with domain experts to formulate AI solutions for complex engineering challenges.
Build scalable data generation, training, validation, and deployment workflows for Scientific AI models.
Publish technical innovations and drive adoption of Scientific AI across engineering applications.
Requirements
Ph.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, Computer Science, or a related field.
Experience applying machine learning to real-world scientific or engineering problems.
Strong background in scientific machine learning and numerical simulation.
Experience with surrogate modeling, PINNs, operator learning such as FNO, or foundation models.
Proficiency in Python and PyTorch.
Experience with HPC, distributed training, large-scale scientific datasets, or scalable ML workflows.
Culture & Benefits
Supportive work culture focused on learning, development, and career growth.
Comprehensive benefits package supporting employee health and wellbeing.
Additional compensation may include bonus and stock awards, as applicable.
Regular employment position with travel required up to 10% of the time.
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