Robotics & Physical AI Engineer — Multi-Physics ML

McKinsey & Company; Austin (TX); On-site; USD 172,800 - 211,200; Full time

Job summary

McKinsey & Company is seeking a PhD/M.S. level scientist to join the Robotics and Physical AI team in Austin, TX, tackling complex engineering challenges with physical science, ML, and high‑performance computing.

You will lead technical workstreams, develop multi‑physics simulations, and translate computational insights into strategic client recommendations. You will collaborate across disciplines, deliver surrogate models, apply physics‑informed ML, and help build an industry‑leading

Qualifications

• Advanced degree in computational mechanics or closely related field.
• Proven ability to develop high‑quality engineering or scientific code in Python/C++.
• Fluency with statistical sampling, ML, and data science techniques; ML/AI/Data Science a plus.

Responsibilities

• Lead technical workstreams on client engagements and build multi‑physics simulations.
• Develop surrogate models and physics‑informed ML for engineering systems.
• Deploy scalable production tools on HPC infrastructure and translate insights into recommendations.
• Collaborate within the Robotics and Physical AI team to advance a first‑of‑its‑kind capability.

Skills

Python

C++

Machine learning

Data science

Communication

Time management

Education

M.S. or Ph.D. in computational mechanics or related field

Experience in applied simulation or scientific ML

Tools

PyTorch

PowerPoint

Excel

C++

Job description

McKinsey & Company is seeking a PhD/M.S. level scientist to join the Robotics and Physical AI team in Austin, TX, tackling complex engineering challenges with physical science, ML, and high‑performance computing.

You will lead technical workstreams, develop multi‑physics simulations, and translate computational insights into strategic client recommendations. You will collaborate across disciplines, deliver surrogate models, apply physics‑informed ML, and help build an industry‑leading