Senior Developer Relations Engineer, GKE and AI Infrastructure

Google; Durham (NC); On-site; USD 163,000 - 236,000; Full time

Job summary

Google is seeking a Technical Developer Relations Engineer for our AI Infrastructure team. You will build real training, fine-tuning, and inference workloads on Google Cloud accelerators, and translate learnings into demos, blogs, and videos for developers.

You will engage with the AI community, work with internal engineers, and help shape the product roadmap while showcasing Google's platforms across conferences and open-source projects.

Qualifications

• Bachelor's degree in CS or equivalent practical experience.
• 5 years in a technical role (e.g., software engineering or related).
• 2 years running AI/ML workloads with GPUs/TPUs, including orchestration with Kubernetes or GKE.
• 2 years producing engaging developer content (blogs, videos, podcasts, streams).

Responsibilities

• Grow the AI Infrastructure developer community by programs, events, and hackathons.
• Collaborate with internal teams and influencers to extend program reach.
• Build and maintain docs, tutorials, and sample code for developers.
• Analyze data to identify trends and inform product roadmap recommendations.
• Represent Google at industry events with talks and live demos.

Skills

AI/ML workloads experience

Public/technical content creation

Kubernetes / GKE experience

Education

Bachelor's degree in Computer Science or equivalent

Tools

Kubernetes

GPUs/TPUs

GKE

Python

Job description

In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Sunnyvale, CA, USA; Cambridge, MA, USA; Kirkland, WA, USA; New York, NY, USA; Raleigh, NC, USA; Durham, NC, USA; Seattle, WA, USA.

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

Responsibilities

Learn more about benefits at Google.

• 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.

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.