Job Description
Minimum 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.
Preferred qualifications:
- PhD in Mechanical Engineering, Electrical Engineering, Computer Engineering, Physics, a related field, or equivalent practical experience.
About the job
We are looking for an exceptional Mechanical Engineer specializing in Physics Modeling and Simulation to join our robotics team.
In this role, you will bridge the gap between pure physics theory, computational modeling, and physical hardware. You will have a strong "inventor" mindset, and depend on first principles to build bespoke mathematical and physical models for robotic components. You will design, model, and analyze highly complex electromechanical mechanisms, material interactions, and sensing arrays ensuring our architectures are optimized for peak performance, efficiency, and reliability. Furthermore, you will be at the forefront of AI-enabled design, utilizing and evolving agentic tools and workflows to accelerate the modeling and invention process.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $176000 - $256000 (USD) + 20% bonus target + equity + benefits
Learn more about
benefits at GoogleIn this role, you will bridge the gap between pure physics theory, computational modeling, and physical hardware. You will have a strong "inventor" mindset, and depend on first principles to build bespoke mathematical and physical models for robotic components. You will design, model, and analyze highly complex electromechanical mechanisms, material interactions, and sensing arrays ensuring our architectures are optimized for peak performance, efficiency, and reliability. Furthermore, you will be at the forefront of AI-enabled design, utilizing and evolving agentic tools and workflows to accelerate the modeling and invention process.
We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $176000 - $256000 (USD) + 20% bonus target + equity + benefits
Learn more about
benefits at GoogleResponsibilities
- Build multi-domain physics models from scratch to predict behavior in novel mechanisms, focusing on electromagnetics, contact mechanics (tribology/wear), kinematics, and soft-material interactions.
- Construct bespoke modeling scripts (Python, MATLAB) and utilize advanced simulation software (COMSOL, FEMM) to explore parameter spaces where standard off-the-shelf modeling 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 seamlessly integrate into the broader robotic architecture.
