Physics AI Engineer: Multi-Physics & Digital Twins

McKinsey; Boston (MA); Hybrid; USD 173,000 - 211,000; Full time

Benefits offered by this job

Medical, mental health, dental and vis

Telemedicine services

Parental leave and family planning

Generous retirement contributions

Paid time off

Job summary

McKinsey & Company is seeking a candidate with advanced degrees in computational mechanics or related fields to lead physics-based modeling efforts for industrial clients. You will develop multi-physics frameworks, build digital twins, and apply ML to engineering challenges, delivering actionable strategies.

You will work within the Scientific and Physical AI team in Advanced Industries, collaborating globally and mentoring teammates while shaping high-impact solutions.

Qualifications

• Advanced graduate degree in computational mechanics, materials science, or closely related field.
• Demonstrated ability to develop high-quality engineering or scientific code.
• Fluency with ML techniques and data science applied to engineering problems.

Responsibilities

• Lead technical workstreams on client engagements with physics-based modeling.
• Build multi-physics simulation frameworks and digital twins.
• Translate computational insights into strategic client recommendations.

Skills

Engineering code development

Statistical sampling

Machine learning/data science

English communication

Education

Advanced graduate degree in computational mechanics or related physical science

Tools

Python

C++

Pytorch

Job description

McKinsey & Company is seeking a candidate with advanced degrees in computational mechanics or related fields to lead physics-based modeling efforts for industrial clients. You will develop multi-physics frameworks, build digital twins, and apply ML to engineering challenges, delivering actionable strategies.

You will work within the Scientific and Physical AI team in Advanced Industries, collaborating globally and mentoring teammates while shaping high-impact solutions.