Physics AI Specialist for Multi-Physics & Digital Twins

McKinsey; Austin (TX); On-site; USD 173,000 - 211,000; Full time

Benefits offered by this job

Competitive salary

World-class benefits

Global community

Job summary

McKinsey invites applications for a role integrating physics-based modeling, ML, and high-performance computing to solve industrial engineering challenges.

You will lead multi-physics simulations, develop surrogate models, and translate insights into strategic client recommendations. The team emphasizes rigorous growth, apprenticeship, and leadership development across a global professional community.

Qualifications

• Advanced graduate degree (M.S. or Ph.D.) in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or a closely related engineering or physical science field required; significant industry or national laboratory experience in applied simulation or scientific machine learning may apply
• Demonstrated ability to develop high-quality engineering or scientific code (e.g., in Python, C++)
• Demonstrated fluency with statistical sampling, machine learning, and data science techniques
• Simulation experience, PyTorch, ML/AI/Data Science a plus

Responsibilities

• Lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins, developing surrogate and machine learning models
• Apply physics-informed machine learning to real-world engineering systems and deploy scalable production tools on HPC infrastructure
• Translate computational insights into strategic recommendations and solutions that deliver measurable impact for clients
• Be part of the Scientific and Physical AI team within our Advanced Industries Sector

Skills

Python

C++

Machine learning

Data science

English communication

Time management

Education

M.S. or Ph.D. in computational mechanics / materials science / mechanical/aerospace/nuclear engineering / computational physics

Tools

PyTorch

Python

PowerPoint

Excel

Job description

McKinsey invites applications for a role integrating physics-based modeling, ML, and high-performance computing to solve industrial engineering challenges.

You will lead multi-physics simulations, develop surrogate models, and translate insights into strategic client recommendations. The team emphasizes rigorous growth, apprenticeship, and leadership development across a global professional community.