Staff Mechanical Engineer, AI Physics Modeling (Robotics)

Google; Cambridge (MA); On-site; USD 176,000 - 256,000; Full time

Job summary

Google DeepMind in Cambridge, MA is seeking a Staff Mechanical Engineer, Physics to join our robotics team. You will bridge physics theory, modeling, and hardware, building bespoke models for electromechanical systems to optimize performance.

You will collaborate with controls and electrical engineers, develop Python/MATLAB scripts, and push AI-enabled design workflows. Candidates have at least 6 years in computational physics and proven leadership experience.

Qualifications

• Bachelor's degree in Mechanical Engineering, Product Design, Electrical Engineering, a related field, or equivalent practical experience.
• 6 years of experience in computational physics.
• 3 years of experience in technical leadership.

Responsibilities

• Build multi-domain physics models from scratch to predict behavior in novel mechanisms, focusing on electromagnetics, contact mechanics, kinematics, and soft-material interactions.
• Construct bespoke modeling scripts (Python, MATLAB) and utilize advanced simulation software (COMSOL, FEMM) to explore parameter spaces where standard tools are insufficient.
• Utilize, develop, and evolve agentic tools and AI-driven methodologies to accelerate physics modeling, automate complex parameter exploration, and pioneer next-generation hardware development.
• Perform detailed calculations and dynamic simulations for actuators, magnetic array topologies, bearing surface selection, and transmission efficiency.
• Partner closely with Controls, Firmware, and Electrical engineers to ensure subsystem models integrate into the broader robotic architecture.

Skills

computational physics

technical leadership

Education

Bachelor's degree in Mechanical Engineering or related field

Tools

Python

MATLAB

COMSOL

FEMM

Job description

Google DeepMind in Cambridge, MA is seeking a Staff Mechanical Engineer, Physics to join our robotics team. You will bridge physics theory, modeling, and hardware, building bespoke models for electromechanical systems to optimize performance.

You will collaborate with controls and electrical engineers, develop Python/MATLAB scripts, and push AI-enabled design workflows. Candidates have at least 6 years in computational physics and proven leadership experience.