Senior Staff Software Engineer, AI Developer Tools, Cloud Gemini Enterprise

Socket.dev; Sunnyvale (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking a Senior Staff Engineer for Developer Intelligence to architect and drive the multi-year technical outlook for AI developer tools across Vertex AI and Cloud. You will define unifying protocols, distributed execution layers, and secure sandboxed environments hosting first- and third-party agents.

The role requires leadership across engineering, architecture reviews, and cross-functional mentoring, with impact on a national scale and multi-year strategic roadmap.

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years leading technical project strategy, ML design, and optimizing industry-scale ML infrastructure.
• 5 years of experience with design and architecture; and testing/launching software products.
• 2 years of experience with GenAI techniques or related concepts (LLMs, multimodal, CV).

Responsibilities

• Design the end-to-end AI developer platform and establish technical roadmaps maximizing modularity across tools, agents, and Cloud infrastructure.
• Advocate industry-leading agent communication standards and establish robust isolation primitives for untrusted code.
• Set exceptional performance and latency standards, leading architecture design reviews to proactively eliminate technical debt.
• Serve as a senior technical mentor, fostering deep technical aptitude and knowledge sharing across Google Cloud.
• Partner with Principal and Distinguished Engineers across Vertex AI, DeepMind, and Cloud Security to align cross-organizational initiatives.

Skills

Software development

Technical leadership

GenAI concepts

System design

ML deployment

Education

Bachelor's degree or equivalent

Master’s degree or PhD preferred

Tools

VM sandboxing

Containerization

High-throughput networking

Enterprise compliance

Job description

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.

Responsibilities:

• Design the end-to-end AI developer platform and establish technical roadmaps that maximize modularity across tools, autonomous agents, and Cloud infrastructure.
• Advocatefor 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.