Senior Network Engineer, Robotics, Enterprise Engineering, DeepMind

• Deploy, configure, and maintain hardware (C9200, C9350, C9500-32C, PA5500), ensuring compliance and zero user downtime during migrations.
• Integrate new robotic cells into the network, maintain accurate labeling, and document processes, setups, and cell topologies for business continuity.
• Perform root-cause analysis and permanent resolution for complex network incidents, executing device upgrades with thorough pre- and post-checks.
• Build and implement automation scripts and tools using Python, Ansible, and Terraform to streamline provisioning, configuration, and operational tasks.
• Monitor network performance and capacity to eliminate bottlenecks, minimize latency, and maximize throughput in high-availability environments.

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• Bachelor’s degree in Computer Science, Engineering, a related field, or equivalent practical experience.
• 6 years of experience in enterprise network engineering, design, and operations within an ISP or cloud/tech environment, working with vendors.

Preferred qualifications:

• Experience in L2/L3 testing protocols, TCP/IP, Spanning Tree Protocol, Network Address Translation (NAT), network administration, network architecture, network configuration, WAN acceleration, and project management.
• Ability to develop and implement network automation tools and scripts (such as using Python, Ansible, or Terraform) to streamline operational tasks, provisioning, and configuration management.

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: $151,000 - $218,000 (USD) + 15% bonus target + equity + benefits

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.