Physics-Informed AI Engineer for Industrial Systems

McKinsey; Columbus (OH); On-site; USD 173,000 - 211,000; Full time

Job summary

McKinsey is seeking a highly skilled specialist to drive advanced simulations and machine learning for industrial clients. You will lead technical workstreams, develop surrogate models, and apply physics-informed ML to real-world engineering challenges, deploying scalable tools on HPC infrastructure and delivering strategic recommendations.

You will be part of the Scientific and Physical AI team within the Advanced Industries Sector, contributing to a first-of-its-kind physics AI capability and

Qualifications

• Advanced graduate degree in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or closely related field.
• Demonstrated ability to develop high-quality engineering or scientific code in Python/C++.
• Fluency with statistical sampling, ML, and data science techniques.
• Simulation experience; PyTorch, ML/AI a plus.
• Strong organizational and independent task execution skills.
• Proficiency in data-driven decision making and written outputs.

Responsibilities

• Lead technical workstreams on client engagements, building multi-physics simulations and digital twins.
• Develop surrogate and ML models and apply physics-informed ML to real-world systems.
• Deploy scalable production tools on HPC infrastructure and translate insights into strategic recommendations.
• Collaborate within the Scientific and Physical AI team of the Advanced Industries Sector.
• Communicate results effectively to clients and internal stakeholders.

Skills

Python/C++ code development

Machine learning / data science

English communication

Pytorch ML / AI

Time management

Education

Advanced graduate degree (M.S./Ph.D.) in computational mechanics / materials science or related field

Tools

Python

C++

Job description

McKinsey is seeking a highly skilled specialist to drive advanced simulations and machine learning for industrial clients. You will lead technical workstreams, develop surrogate models, and apply physics-informed ML to real-world engineering challenges, deploying scalable tools on HPC infrastructure and delivering strategic recommendations.

You will be part of the Scientific and Physical AI team within the Advanced Industries Sector, contributing to a first-of-its-kind physics AI capability and