Senior Network Engineer, Robotics, DeepMind

Google DeepMind; 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 in research labs, conferences, and remote test environments.

You will bridge complex corporate infrastructure with autonomous robotics hardware, shaping real-time networks and secure perimeters for scalable research and product development efforts.

Qualifications

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

Responsibilities

• Build scalable network models and shape policies for real-time teleop streams and robot log offloads.
• Optimize RF bands and roaming frameworks for low-latency connectivity in complex 3D environments.
• Engineer reliable E2E wireless links and align SOPs with hardware partners.
• Transform lab setups into secure perimeters with firewall rules.
• Tune device drivers and network interfaces to optimize robotic fleet connectivity.

Skills

Network engineering

Data center networking

Technical program management

Education

Bachelor's degree

Tools

ROS/ROS2

Simulation environments

On-device deployment

Job description

Minimum qualifications

• 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

Responsibilities

Learn more about benefits at Google.

• 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 workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.