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Physics AI Scientist III

142 500 - 196 500$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
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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