Senior AI Infrastructure Developer Advocate

Google

Seattle (WA)

On-site

USD 163,000 - 236,000

Full time

9 days ago

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Benefits offered by this job

Health insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) with company match
PTO 20 days + sick time + holidays
Baby bonding leave

Job summary

Google is seeking a Technical Developer Relations Engineer for the AI Infrastructure team. You will work on AI workloads on GKE and Kubernetes, GPUs/TPUs, and the drivers that keep training and inference scalable.

You will write and run real workloads, scale them, and turn lessons into demos, blogs, and videos for developers. You will engage with talks, open source, and share strong storytelling to power AI at scale.

Qualifications

  • Bachelor's degree in Computer Science or related field.
  • 5 years in a technical role (software eng, solutions) or equivalent.
  • 2 years running AI/ML workloads on GPUs/TPUs with orchestration.
  • 2 years creating engaging developer content (blogs, videos, podcasts).

Responsibilities

  • Grow the AI Infrastructure developer community by running programs, events, workshops, and hackathons.
  • Collaborate with internal engineering teams, external partners, and influencers to extend each program's reach.
  • Build and maintain docs, tutorials, and sample code for developers.
  • Analyze data to spot trends and translate into product roadmap insights.
  • Represent Google at industry events with talks and live demos.

Skills

AI/ML workloads experience
Kubernetes/GKE experience
Content creation for developers
Python programming

Education

Bachelor's degree in CS or related field

Tools

Kubernetes
TPU/GPU

Job description

Google is seeking a Technical Developer Relations Engineer for the AI Infrastructure team. You will work on AI workloads on GKE and Kubernetes, GPUs/TPUs, and the drivers that keep training and inference scalable.

You will write and run real workloads, scale them, and turn lessons into demos, blogs, and videos for developers. You will engage with talks, open source, and share strong storytelling to power AI at scale.

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