Staff Mechanical Engineer — Physics Modeling & Robotics

Socket.dev; Cambridge (MA); On-site; USD 176,000 - 256,000; Full time

Job summary

Google DeepMind seeks an exceptional Mechanical Engineer specializing in Physics Modeling and Simulation to join its robotics team. You will bridge physics theory with computational modeling and hardware, crafting bespoke models for robotic components and exploring AI-enabled design to accelerate invention.

Work alongside diverse teams to optimize architectures for peak performance, efficiency, and reliability, contributing to groundbreaking AI-enabled hardware development and cross-domain

Qualifications

• Bachelor's degree or equivalent in a relevant field.
• 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.
• Utilize, develop, and evolve agentic tools and AI-driven methodologies to accelerate physics modeling and automate parameter exploration.
• Perform detailed calculations and dynamic simulations for actuators, magnetic array topologies, bearing surface selection, and transmission efficiency.
• Partner 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/ Electrical Engineering/ Product Design or related field

PhD in Mechanical Engineering/ Electrical Engineering/ Computer Engineering/ Physics or related field

Job description

Google DeepMind seeks an exceptional Mechanical Engineer specializing in Physics Modeling and Simulation to join its robotics team. You will bridge physics theory with computational modeling and hardware, crafting bespoke models for robotic components and exploring AI-enabled design to accelerate invention.

Work alongside diverse teams to optimize architectures for peak performance, efficiency, and reliability, contributing to groundbreaking AI-enabled hardware development and cross-domain