Robotics AI Research Engineer - Humanoids

Google

Mobile (AL)

On-site

USD 147,000 - 211,000

Full time

14 days+

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Job summary

Google DeepMind in Mountain View, CA, seeks a Research Engineer to advance AI-enabled robotics and maintain a growing robot fleet. You will design and implement software across systems, collaborate with cross-disciplinary teams to prototype and deploy capabilities, and contribute to scalable infrastructure.

The role emphasizes building introspection tools, verification methods, and robust robot platforms to accelerate research while solving real-world challenges.

Qualifications

  • Bachelor's degree in Computer Science or a related technical field, or equivalent practical experience.
  • 2 years of robotics experience, developing and maintaining robot software systems.
  • Experience using ML frameworks, specifically JAX.

Responsibilities

  • Design, develop, and maintain robotic setups for continuous robot learning experiments.
  • Collaborate with partner teams to co-develop infrastructure, tooling, and processes to accelerate robot learning research.
  • Develop and maintain verification methods for a fleet of robots.
  • Work with cross-functional teams in a dynamic environment, quickly prototype, iterate, and deliver robot capabilities in real-world applications.
  • Keep track of major changes and trends in infrastructure and enable adoption of new frameworks and systems without significant impact on development work.

Skills

Robotics experience
Python
C++

Education

Bachelor's degree in Computer Science or related field

Tools

JAX

Job description

Google DeepMind in Mountain View, CA, seeks a Research Engineer to advance AI-enabled robotics and maintain a growing robot fleet. You will design and implement software across systems, collaborate with cross-disciplinary teams to prototype and deploy capabilities, and contribute to scalable infrastructure.

The role emphasizes building introspection tools, verification methods, and robust robot platforms to accelerate research while solving real-world challenges.

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