Physics AI Engineer - Multi-Physics & Digital Twins

McKinsey; Detroit (MI); On-site; USD 173,000 - 211,000; Full time

Benefits offered by this job

Competitive salary

World-class benefits

Diversity and inclusion

Job summary

McKinsey is seeking a highly skilled scientist to join the Scientific and Physical AI team within the Advanced Industries Sector. You will lead technical workstreams on client engagements, building multi-physics simulations, digital twins, and ML models to solve complex engineering challenges.

The role emphasizes physics-informed machine learning, deployment on HPC infrastructure, and translating insights into strategic client recommendations.

Qualifications

• Advanced graduate degree in computational mechanics or closely related field.

Responsibilities

• Lead technical workstreams on client engagements.
• Build multi-physics simulation frameworks and digital twins.
• Develop surrogate and machine-learning models.
• Apply physics-informed machine learning to real-world engineering systems.
• Deploy scalable production tools on HPC infrastructure.
• Translate computational insights into strategic recommendations delivering measurable impact.

Skills

Code development

Python

C++

Machine learning

Pytorch

Data analysis

Communication skills

English fluency

Time management

Travel willingness

Education

MS or PhD

Engineering/Physics

Tools

Python

C++

Pytorch

Job description

McKinsey is seeking a highly skilled scientist to join the Scientific and Physical AI team within the Advanced Industries Sector. You will lead technical workstreams on client engagements, building multi-physics simulations, digital twins, and ML models to solve complex engineering challenges.

The role emphasizes physics-informed machine learning, deployment on HPC infrastructure, and translating insights into strategic client recommendations.