Principal Engineer, Service Networking AI

• Leverage your networking and cloud computing expertise to best serve AI and agentic workloads.
• Define, drive, and land a multi-year technical outlook and architectural strategy that brings individual networking components together into an overall ecosystem differentiated for AI and agentic serving.
• Partner with product management and directly with customers to understand customer AI and agentic requirements.
• Lead software engineers within the service networking organization, ensuring their contributions toward your outlook land on time and with high quality.
• Act as a premier technical mentor and sponsor, growing the next generation of technical leaders across Google Cloud.

Minimum qualifications:

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• 15 years of software engineering experience, building and working with large-scale distributed systems.
• 5 years of experience delivering networking solutions at hyperscale.
• 2 years of experience serving ML, AI, or agentic workloads.

Preferred qualifications:

• Master’s degree in Computer Science or related field.
• Experience working with AI infrastructure and modeling teams to deliver state of the art networking solutions.
• Experience with Kubernetes as a platform for large model training or serving.
• Strategic leadership with experience driving multi-year architectural transitions and technical alignment across large organizations.
• Recognized industry-wide expertise in Layer 7 protocols, edge networking, traffic management algorithms, and high-capacity secure proxy architectures.
• Credibility as an engineering leader who develops a structure of other technical leads in the domain.

• Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
• 15 years of software engineering experience, building and working with large-scale distributed systems.
• 5 years of experience delivering networking solutions at hyperscale.
• 2 years of experience serving ML, AI, or agentic workloads.