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

Google; New York (NY); On-site; USD 262,000 - 364,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid Time Off: 20 days

Sick Time: 40 hours/year

Maternity Leave: 28-30 weeks

Baby Bonding Leave: 18 weeks

Holidays: 13 paid days

Job summary

Google is seeking a Senior Staff Engineer for Developer Intelligence to lead the end-to-end AI developer platform across New York City and the West Coast. You will set architectural direction, define unifying protocols, and oversee cross-team collaboration with Vertex AI and Cloud Security.

You will design, review, and implement scalable, secure systems while mentoring engineers and shaping multi-year tech roadmaps for the organization.

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).

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.

Skills

Software development

GenAI techniques

Technical leadership

Architectural design

Project management

Education

Bachelor's degree

Master's degree

PhD

Tools

VM sandboxing

Container sandboxing

Vertex AI

LSP

ML infrastructure

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; Kirkland, WA, USA; New York, NY, USA; Seattle, WA, USA

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

Responsibilities

Learn more about benefits at Google .

• 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.

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 .