Senior Wireless Network Engineer, Robotics, Enterprise Engineering

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.

Responsibilities

• Design and maintain high-density enterprise wireless networks (Wi-Fi 6/6E) and execute Ekahau RF site surveys tailored to complex, interference-heavy environments.
• Tune controllers and RF profiles for seamless 802.11r/k/v robotic roaming and architect robust solutions for Multicast/DDS telemetry over wireless.
• Lead strategic wireless migration to NextGen models, partnering with security architects to enforce strict perimeter policies.
• Manage 802.1x, EAP-TLS, and MAB authentication for headless IoT and robotics devices like Pico VR headsets and custom dongles.
• Act as an escalation point, utilizing Wireshark/Omnipeek packet analysis to resolve root causes of drops, roaming failures, and latency spikes, develop Python scripts and IaC to automate provisioning, and scale robotics deployments for seamless operation in noisy partner or venue environments.

Qualifications

Minimum qualifications:

• Bachelor's degree in Computer Science, Engineering, a related field, or equivalent practical experience.
• 6 years of experience in enterprise wireless engineering, architecture, and RF design.

Preferred qualifications:

• Certification in CWNA, CWSP, CWDP, or CCNP Enterprise Wireless, or related industry experience.
• Ability to develop Python scripts and Infrastructure as Code (IaC) to automate provisioning and scale robotics deployments for operation in noisy partner or venue environments.