AI Infrastructure DevRel Engineer — Scale & Demos

Google; Cambridge (MA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off

Parental leave

Job summary

Google is seeking a Technical Developer Relations Engineer for its AI Infrastructure team within Google Cloud. You will write and run real training, fine-tuning, and inference workloads on Google’s accelerators and share reusable insights.

You’ll translate complex hardware/software challenges into demos, blogs, and videos that developers actually read and watch, while collaborating with internal teams and external partners.

Qualifications

• Bachelor's degree in CS or equivalent practical experience.
• 5 years in a technical role (software engineering, solutions consultant, etc.) or equivalent technical experience.
• 2 years of experience running AI/ML workloads on GPUs/TPUs with orchestration via 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 through programs, events, workshops, and hackathons.
• Collaborate with internal engineering teams, external partners, and influencers to extend program reach.
• Build and maintain docs, tutorials, and sample code and answer technical questions.
• Dig into data to spot trends and translate into product roadmap.
• Represent Google at industry events with talks and live demos.

Skills

Kubernetes

GPUs/TPUs

Python

C++

Java

Technical blogging

Public speaking

Education

Bachelor's degree in Computer Science or equivalent

Tools

GKE

TPU drivers

CUDA drivers

Job description

Google is seeking a Technical Developer Relations Engineer for its AI Infrastructure team within Google Cloud. You will write and run real training, fine-tuning, and inference workloads on Google’s accelerators and share reusable insights.

You’ll translate complex hardware/software challenges into demos, blogs, and videos that developers actually read and watch, while collaborating with internal teams and external partners.