Principal AI Data Scientist – Scientific AI & Physics-Informed Machine Learning

Location: Santa Clara, CA, United States

Salary: $0.00–$0.00

Company

hirify.global develops materials science and engineering solutions for semiconductor chips and advanced displays.

What you will do

• Develop and deploy AI/ML solutions for semiconductor process and device simulations, EDA, packaging, reliability, metrology, and manufacturing applications.
• Create physics-informed and hybrid AI models that combine experimental data, simulation outputs, and domain knowledge.
• Build surrogate models and scientific machine learning frameworks to accelerate computationally intensive simulations and engineering workflows.
• Research deep learning, generative AI, graph neural networks, neural operators, and foundation models.
• Collaborate with semiconductor experts, software engineers, product teams, customers, vendors, and other stakeholders to transition research into production.
• Drive technical innovation through patents, publications, technical leadership, and interdisciplinary problem-solving.

Requirements

• PhD in Electrical Engineering, Physics, Materials Science, Computer Science, Applied Mathematics, Computational Science, or a related discipline.
• Strong expertise in machine learning, deep learning, statistical modeling, and scientific computing.
• Hands-on experience with Python and modern AI frameworks such as PyTorch, TensorFlow, or JAX.
• Strong background in numerical methods, optimization, simulation, or computational modeling.
• Excellent technical communication skills and ability to work across multidisciplinary teams.
• Ability to manage complex program schedules, budgets, and milestones with limited supervision.

Nice to have

• Semiconductor industry experience in process, device, reliability, metrology, packaging, EDA, or manufacturing.
• 5+ years of experience developing advanced AI/ML algorithms for scientific or engineering applications.
• Experience with PINNs, neural operators, surrogate modeling, uncertainty quantification, digital twins, or multiphysics simulation.
• Familiarity with TCAD, FEM, CFD, Monte Carlo, foundation models, generative AI, multimodal learning, or graph neural networks.
• Strong publication or patent record demonstrating technical innovation and thought leadership.

Culture & Benefits

• Supportive environment focused on learning, professional development, and technical growth.
• Comprehensive employee benefits supporting health and wellbeing.
• Eligibility for bonus and stock award programs, as applicable.
• Travel required approximately 10% of the time.
• Relocation eligible.