Physics AI Engineer — Multiphysics & Digital Twins

McKinsey; Atlanta (GA); On-site; USD 173,000 - 211,000; Full time

Benefits offered by this job

World-class benefits

Comprehensive benefits package

Job summary

McKinsey & Company is seeking a highly capable engineer to tackle complex physics-based modeling and machine learning challenges for leading industrial clients. You will lead technical workstreams, build multi-physics simulations, and translate findings into strategic recommendations.

The role sits within the Scientific and Physical AI team of the Advanced Industries sector, offering growth through apprenticeship, mentorship, and cross-functional collaboration with global teams.

Qualifications

• Advanced degree in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or closely related field.
• Experience developing high-quality engineering or scientific code in Python or C++.
• Fluency with statistical sampling, machine learning, and data science techniques.
• Simulation experience; Pytorch, ML/AI/Data Science is a plus.
• Strong organizational and independent task completion abilities.
• Proficiency in data-driven decision making and clear written communication.

Responsibilities

• Lead technical workstreams on client engagements, building multi-physics simulation frameworks and digital twins.
• Develop surrogate and machine learning models, applying physics-informed machine learning to real-world systems.
• Deploy scalable production tools on HPC infrastructure and translate insights into actionable client recommendations.
• Be part of McKinsey's Scientific and Physical AI team within the Advanced Industries sector.

Skills

Python

C++

Machine learning

Data science

Education

M.S./Ph.D. in relevant field

Tools

Pytorch

Job description

McKinsey & Company is seeking a highly capable engineer to tackle complex physics-based modeling and machine learning challenges for leading industrial clients. You will lead technical workstreams, build multi-physics simulations, and translate findings into strategic recommendations.

The role sits within the Scientific and Physical AI team of the Advanced Industries sector, offering growth through apprenticeship, mentorship, and cross-functional collaboration with global teams.