Lead Physics-Informed AI Engineer

McKinsey; Chicago (IL); Presencial; USD 173.000 - 211.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Global network

Benefits package

Descripción de la vacante

McKinsey & Company seeks a highly skilled researcher to tackle advanced engineering challenges in a fast-paced, global environment. You will lead technical workstreams, build multi-physics simulation frameworks, and apply physics-informed machine learning to deliver measurable client impact.

You will join the Scientific and Physical AI team within Advanced Industries, contributing to a first-of-its-kind physics AI capability with world-class benefits and growth opportunities.

Formación

• Advanced degree in computational mechanics, materials science, mechanical/aerospace/nuclear engineering, computational physics, or related field.
• Proven ability to develop engineering/scientific code in Python/C++.
• Fluency in statistics, ML, and data science techniques.

Responsabilidades

• Lead technical workstreams on client engagements for multi-physics simulations and digital twins.
• Develop surrogate models and machine learning models for engineering problems.
• Apply physics-informed ML to real-world systems and deploy scalable tools on HPC.

Conocimientos

MS/PhD in computational mechanics

Python & C++

Machine learning / data science

Simulation engineering

English communication

Educación

MS/PhD in a relevant field

Herramientas

Python

C++

PyTorch

Descripción del empleo

McKinsey & Company seeks a highly skilled researcher to tackle advanced engineering challenges in a fast-paced, global environment. You will lead technical workstreams, build multi-physics simulation frameworks, and apply physics-informed machine learning to deliver measurable client impact.

You will join the Scientific and Physical AI team within Advanced Industries, contributing to a first-of-its-kind physics AI capability with world-class benefits and growth opportunities.