Staff Software Engineer, Ads and Commerce Advisor Platform

Google; Mountain View (CA); On-site; USD 207,000 - 300,000; Full time

Job summary

Google is hiring a software engineer with deep ML and GenAI expertise to design and deliver large-scale AI-enabled software platforms. The role emphasizes leading ML design, deploying sophisticated architectures, and coordinating cross-functional teams across product areas.

You will influence model generations, tooling standards, and system reliability at scale. The role focuses on building and shipping end-to-end AI-enabled solutions, with opportunities to evolve architecture, mentor teams, and

Qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years testing, launching software products; 3 years in design/architecture.
• 5 years leading ML design and optimizing ML infrastructure.
• 2 years experience with GenAI techniques (LLMs, Multi-Modal, Large Vision Models).
• Master’s degree or PhD in Engineering, Computer Science, or related field.
• 8 years of experience with data structures and algorithms.
• 3 years in a technical leadership role.
• 3 years in cross-functional/matrixed organizations.

Responsibilities

• Set the technical direction and roadmap for the orchestration runtime and GenUI streaming.
• Own platform adoption of new model generations, inference APIs, prompting, and tool-calling standards.
• Mentor engineers, set design and code review standards, grow production‑agentic expertise.
• Advance discovery, loading, versioning, and governance of 300+ skills and tools.
• Design, develop, test, deploy, maintain, and enhance large-scale software solutions.

Skills

Software development

ML design

GenAI techniques

Leadership

Education

Bachelor's degree or equivalent experience

Master’s degree or PhD preferred

Job description

Minimum qualifications

• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
• 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
• 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 and algorithms.
• 3 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.

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.

The Ads and Commerce (A&C) Advisor Platform is the hosted, full-stack agentic runtime that A&C product teams use to ship conversational and proactive AI experiences without rebuilding AI infrastructure.

Google Ads is at the forefront of AI innovation, applying cutting-edge machine learning and Generative AI models like Gemini to power a multi-billion dollar global business.

Our work directly impacts billions of users by protecting users from harm, improving ad quality, and optimizing campaigns for advertiser return-on-investment. We foster a culture of deep collaboration, partnering closely with teams like Google Research and DeepMind to solve complex challenges. Join us to work on state-of-the-art AI, take on problems at an unparalleled scale, and build the next generation of advertising technology.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google .

• Set the technical direction and roadmap for the orchestration runtime behind the initiatives: the streaming reasoning loop, function calling, context and memory management, sub-agent and remote-agent protocols, and GenUI response streaming.
• Own how the platform adopts new model generations and inference APIs, prompting and tool-calling standards, thinking and streaming capabilities, and the migration playbook that moves XXB monthly requests without regressions.
• Mentor platform engineers, set design and code review standards, and raise the organization's expertise in production agentic systems.
• Advance how 300+ skills and tools are discovered, loaded, versioned and governed so teams ship independently without destabilizing the whole system.
• Design, develop, test, deploy, maintain, and enhance large scale software solutions.

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 .