Senior AI Infrastructure DevRel Engineer

Google; United States; On-site; USD 163,000 - 237,000; Full time

Benefits offered by this job

Health, dental, vision, life, and-dis?

401(k) with company match

Paid Time Off: 20 days per year

Sick Time: 40 hours/year (Seattle up 6

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

13 paid holidays

Job summary

Google is seeking a Senior Developer Relations Engineer for AI Infrastructure to drive hands-on training, demos, and content that showcases Google Cloud AI capabilities. The role focuses on building scalable AI workloads with GKE, GPUs/TPUs, and strong collaboration with engineering teams.

The candidate will publish technical content, engage with the developer community, and participate in industry events, forums, and open source projects while shaping AI tooling and documentation.

Qualifications

• Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience.
• 5 years of work experience in a technical role (e.g., software engineering, solutions consultant, etc.) or equivalent technical experience.
• 2 years of experience running AI/ML workloads on GPUs/TPUs with orchestration (Kubernetes or GKE).
• 2 years of experience producing engaging developer content (blogs, short-form videos, podcasts, live streams).

Responsibilities

• Grow the AI Infrastructure developer community by running programs, events, workshops, and hackathons.
• Collaborate with internal teams, external partners, and influencers to extend program reach.
• Create and maintain docs, tutorials, and sample code, and answer technical questions.
• Analyze data to identify trends and pain points and feed insights into product roadmap.
• Represent Google at industry events with talks and live demos.

Skills

Kubernetes

GPUs/TPUs

Python

Public speaking

Education

Bachelor's degree in Computer Science or equivalent

Tools

GKE

Job description

Google is seeking a Senior Developer Relations Engineer for AI Infrastructure to drive hands-on training, demos, and content that showcases Google Cloud AI capabilities. The role focuses on building scalable AI workloads with GKE, GPUs/TPUs, and strong collaboration with engineering teams.

The candidate will publish technical content, engage with the developer community, and participate in industry events, forums, and open source projects while shaping AI tooling and documentation.