About the role

What will you do at Google?

MINIMUM QUALIFICATIONS:

* Bachelor's degree or equivalent practical experience.

* 8 years of experience in software development.

* 7 years of experience leading technical project strategy, ML design, and

optimizing industry-scale ML infrastructure (e.g., model deployment, model

evaluation, data processing, debugging, fine tuning).

* 5 years of experience with design and architecture; and testing/launching

software products.

* 2 years of experience with state of the art GenAI techniques (e.g., LLMs,

Multi-Modal, Large Vision Models) or with GenAI-related concepts (language

modeling, computer vision).

PREFERRED QUALIFICATIONS:

* Master’s degree or PhD in Engineering, Computer Science, or a related

technical field.

* 8 years of experience with data structures/algorithms.

* 5 years of experience in a technical leadership role leading project teams

and setting technical direction.

* 3 years of experience working in a complex, matrixed organization involving

cross-functional, or cross-business projects.

* Experience designing developer toolchains and orchestrating production-scale

AI agents.

* Experience architecting in VM/container sandboxing, high-throughput

networking, and enterprise compliance.

ABOUT THE JOB:

Google's software engineers develop the next-generation technologies that change

how billions of users connect, explore, and interact with information and one

another. Our products need to handle information at massive scale, and extend

well beyond web search. We're looking for engineers who bring fresh ideas from

all areas, including information retrieval, distributed computing, large-scale

system design, networking and data storage, security, artificial intelligence,

natural language processing, UI design and mobile; the list goes on and is

growing every day. As a software engineer, you will work on a specific project

critical to Google’s needs with opportunities to switch teams and projects as

you and our fast-paced business grow and evolve. We need our engineers to be

versatile, display leadership qualities and be enthusiastic to take on new

problems across the full-stack as we continue to push technology forward.

With your technical expertise you will manage project priorities, deadlines, and

deliverables. You will design, develop, test, deploy, maintain, and enhance

software solutions.

As the Senior Staff Engineer for Developer Intelligence, you will serve as the

principal architectural authority across all three pillars. Similar to principal

technical leadership at the broader AI Developer Tools (AIDT) organization

level, you will own the multi-year technical outlook, architectural cohesion,

and engineering standards for our entire engineering organization across New

York City and the West Coast.

In this role, you will

design the unifying protocols and distributed execution
layers that connect client-side developer tools, Cloud infrastructure,
autonomous code transformation pipelines, and sandboxed VM runtimes in Vertex AI
capable of hosting first-party agents and third-party/custom agents.
The Google Cloud AI Research team addresses AI challenges motivated by Google
Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many
other industries. We work on a range of unique problems focused on research
topics that maximize scientific and real-world impact, aiming to push the
state-of-the-art in AI and share findings with the broader research community.
We also collaborate with product teams to bring innovations to real-world impact
that benefits our customers.
Individual pay is determined by factors including job-related skills,
experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google
[https://www.google.com/about/careers/applications/benefits/].
RESPONSIBILITIES:
* Design the end-to-end AI developer platform and establish technical roadmaps
that maximize modularity across tools, autonomous agents, and Cloud
infrastructure.
* Advocate for industry-leading agent communication standards (e.g., MCP, LSP)
and establish robust isolation primitives for executing untrusted third-party
code.
* Set exceptional performance and latency standards, leading architecture
design reviews to proactively eliminate systemic risks and technical debt.
* Serve as a senior technical mentor, cultivating a culture of deep technical
aptitude and proactive knowledge sharing across Google Cloud.
* Partner with Principal and Distinguished Engineers across Vertex AI,
DeepMind, and Cloud Security to align cross-organizational initiatives.

Which skills does this role require?

Software developmentMachine learningSystem architectureGenAILLMsCloud infrastructureProject managementSoftware EngineeringCloud GeminiVertex AIMachine LearningLarge Language ModelsMulti-ModalDeveloper ToolsDistributed SystemsArchitectureData ProcessingModel EvaluationFine TuningComputer VisionHigh-throughput NetworkingTechnical MentorshipFull-stackAutonomous AgentsMCPLSPGCPProduct Strategy

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