Senior Developer Relations Engineer, AI Infrastructure

About the role

The Cloud Developer Relations team is hiring a technical Developer Relations Engineer for our AI Infrastructure team. Our work centers on the systems that power modern AI: 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.

Responsibilities

• Grow the AI Infrastructure developer community by running programs, events, workshops, and hackathons that people actually want to attend.
• Work 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.

Qualifications

• 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.

Pay

US: $163000 - $237000 (USD) + 15% bonus target + equity + benefits