Senior Network Engineer, Robotics, DeepMind

Google Inc.; Mountain View (CA); On-site; USD 177,000 - 257,000; Full time

Job summary

Google DeepMind seeks a Network Engineer to own the network lifecycle for next-generation robotic systems deployed across research labs, conferences, and remote test environments. You will bridge corporate infrastructure with autonomous hardware, shaping secure, low-latency connectivity for robotic fleets.

We value experience with ROS/ROS2, simulation tools, and on-device deployment. Candidates should have a strong background in data center networking and operator-level security practices.

Qualifications

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

Responsibilities

• Build scalable network models and shape policies to handle real-time teleop streams and robot log offloads.
• Optimize 5/6GHz RF bands and physical roaming frameworks for low-latency connectivity in complex 3D environments.
• Engineer reliable E2E wireless links in high-noise venues and align critical SOPs with hardware partners.
• Transform experimental lab setups into secure, least-privilege perimeters and negotiated firewall rules.
• Tune device drivers and network interface hardware to optimize connectivity for next-gen robotic fleets.

Skills

Data center networking

Network lifecycle

RF optimization

Wireless networks

E2E security

Device drivers

Education

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

Tools

ROS/ROS2

Isaac Sim

MuJoCo

Jetson

TPU

Job description

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corporate_fare DeepMind place Mountain View, CA, USA

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• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
• 10 years of experience with data center networking architecture, operations, and power distribution systems within mission-critical facilities.
• 8 years of experience in technical program management within consumer electronics, IoT, or robotics, with experience shipping hardware products.

Preferred qualifications:

• Experience with ROS/ROS2, simulation environments (Isaac Sim, MuJoCo), or on-device deployment (Jetson, TPU).

About the job

We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We’re looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people.

As a Network Engineer, you will own the network lifecycle for next-generation robotic systems deployed across research labs, major global conferences, and unpredictable remote test environments. The impact you will have as an operational trailblazer will bridge the gap between complex corporate infrastructure and cutting-edge autonomous robotics hardware.

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: $177,000 - $257,000 (USD) + 20% bonus target + equity + benefits

• Build scalable network models and shape policies to handle real-time teleop streams and robot log offloads.
• Optimize 5/6GHz RF bands and physical roaming frameworks for low-latency connectivity in complex 3D environments.
• Engineer reliable E2E wireless links in high-noise venues and align critical SOPs with hardware partners.
• Transform experimental lab setups into secure, least-privilege perimeters and negotiated firewall rules.
• Tune device drivers and network interface hardware to optimize connectivity for next-gen robotic fleets.

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.