Senior Developer Relations Engineer, GKE and AI Infrastructure

Socket.dev; Sunnyvale (CA); On-site; USD 163,000 - 236,000; Full time

Benefits offered by this job

Equity

Bonus target

Benefits

Job summary

Google Cloud is seeking a Technical Developer Relations Engineer for its AI Infrastructure team. You’ll write real training and inference workloads on GPUs/TPUs, build demos and blogs, and help scale AI workflows with Kubernetes and GKE.

You will present at events, contribute to docs and tutorials, and translate complex hardware workflows into engaging content for developers worldwide.

Qualifications

• Bachelor's degree or equivalent practical experience in a technical field.
• 5+ years in a technical role or equivalent experience.
• 2+ years running AI/ML workloads on GPUs/TPUs with orchestration.
• 2+ years creating developer-focused content (blogs, videos, talks).

Responsibilities

• Grow the AI Infrastructure developer community through programs and events.
• Collaborate with internal teams and external partners to extend reach.
• Build docs, tutorials, and sample code; answer technical questions.
• Analyze data to identify pain points and inform product roadmap.
• Represent Google at industry events with talks and live demos.

Skills

AI infrastructure

Kubernetes

GKE

GPUs/TPUs

Python

Public technical content

System design

Education

Bachelor's degree in Computer Science or equivalent

Tools

Kubernetes

GKE

TensorFlow

Job description

Minimum 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, such as training, fine-tuning, or serving inference on GPUs or TPUs, including orchestration with Kubernetes or GKE.
• 2 years of experience producing engaging developer content (e.g., blogs, short-form videos, podcasts, live streams).

Preferred qualifications:

• Experience with AI infrastructure: Kubernetes, GPUs/TPUs and the software drivers that support them.
• Experience writing and running model-training, reinforcement-learning, or inference workloads (or clear ability to grow into these).
• Proficiency in Python preferred; strong object-oriented programming in another language (e.g., C++, Java) acceptable for an "AI-native" applicant who moves quickly between languages.
• Demonstrated external technical content and public presence (technical blogs, videos, talks, or popular open-source work — ability to translate complex hardware workflows (TPU/GPU) into engaging narratives.
• Background in AI development, either building/training models or integrating generative AI into products.

About the job:

As a part of the Cloud Developer Relations team, you will join as a Technical Developer Relations Engineer for our AI Infrastructure team. Your work centers on the systems that power modern AI that is GKE and Kubernetes, Graphics Processing Units (GPU) and Tensor Processing Units (TPU) accelerators, and the drivers and orchestration that keep large training, reinforcement learning, and inference jobs running at scale.

In this role, you will be a builder first, to write and run real training, fine-tuning, and inference workloads, push them to scale on Google's accelerators, and feed what you learn back to the engineering teams shipping these products. You will take hard infrastructure problems, the kind that involve GPU memory limits, TPU topologies, and scheduling and turn them into demos, blogs, and videos that developers actually want to read and watch.

In this role, you will bring a real point of view and an audience that listens, whether built through conference talks, open source, or your own writing about this space.The AI and Infrastructure team is redefining what’s possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're behind Google's groundbreaking innovations, empowering the development of AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities:

• Grow the AI Infrastructure developer community by running programs, events, workshops, and hackathons that people actually want to attend.
• Collaborate with internal engineering teams, external partners, and influencers to extend each program's reach and make the case for Google's platforms.
• Build and maintain the resources developers rely on docs, tutorials, and sample code and answer their technical questions along the way.
• Dig into the data to spot trends, recurring pain points, and where developers lose time, then turn that into concrete recommendations for the product roadmap.
• Represent Google at industry events as a technical voice for our AI tools, giving talks and live demos.