Robotics Engineer, Controls and Autonomy, DeepMind

Google LLC; Cambridge (MA); On-site; USD 147,000 - 210,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

DeepMind, a Google AI lab, is seeking a Robotics Engineer, Controls and Autonomy in Cambridge, MA. You will design and implement control systems for fully autonomous robotic behaviors and optimize real-time software for stability during complex physical interactions.

Ideal candidates have multi-year experience with robotics software, MuJoCo simulations, and RL-driven design pipelines within a collaborative environment. This role emphasizes safety, testing, and scalable software practices.

Qualifications

• Bachelor’s degree required or equivalent practical experience.
• 2 years of experience with software development in one or more programming languages.
• 2 years of experience in developing and debugging robotic software systems.
• 2 years of experience with physics-based simulation environments, specifically MuJoCo, for model development and testing.
• 1 year of experience developing behaviors for mobile robotic systems.

Responsibilities

• Design and implement control systems for robotic platforms, focusing on executing long-horizon, fully autonomous behaviors.
• Optimize control loops and real-time software to ensure low-latency response and stability during complex physical interactions.
• Work within an established internal simulation based RL pipeline to accelerate design insights.
• Collaborate with the hardware and AI teams to define requirements for future robotic systems.
• Establish software development best practices, including high test coverage and modular code architecture.

Skills

Software development

Robotics software

Mobile robotics

Education

Bachelor's degree in Engineering, Computer Science, or related field

Tools

MuJoCo

Job description

Robotics Engineer, Controls and Autonomy, DeepMind

Share Robotics Engineer, Controls and Autonomy, DeepMind

corporate_fare DeepMind place Cambridge, MA, USA

• Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.

2 years of experience with software development in one or more programming languages.

2 years of experience in developing and debugging robotic software systems.

• 2 years of experience with physics-based simulation environments, specifically MuJoCo, for model development and testing.
• 1 year of experience developing behaviors for mobile robotic systems.

Preferred qualifications:

• 4 years of experience in developing and debugging robotic software systems.
• Proven expertise in Reinforcement Learning (RL) for robotic locomotion and physical control.
• In-depth understanding of safe system design for physical-software interaction during autonomous operation.
• Strong background in robotic kinematics, dynamics, and classical control theory.

About the job

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: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

• Design and implement control systems for robotic platforms, focusing on executing long-horizon, fully autonomous behaviors to put cycles on new hardware platforms.
• Optimize control loops and real-time software to ensure low-latency response and stability during complex physical interactions.
• Work within an established internal simulation based RL pipeline to accelerate design insights.
• Collaborate with the hardware and AI teams to define requirements for future robotic systems.
• Establish software development best practices, including high test coverage and modular code architecture for behavioral stacks.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.