Staff Software Engineer, Gemini Enterprise Agent Platform

Google; Sunnyvale (CA); On-site; USD 207,000 - 301,000; Full time

Job summary

Google Cloud's Orcas Agent Platform team seeks a Staff Software Engineer to provide technical leadership, design infrastructure for GenAI agents, and drive scalable, reliable tool-using agents. You will influence product direction and mentor teams while advancing AI capabilities within the Google Cloud ecosystem.

The role emphasizes cross-functional collaboration, scalable system design, and deployment of GenAI technologies with a focus on reliability and performance, aligning with Google

Qualifications

• Bachelor's degree or equivalent practical experience in a relevant field.
• 8 years of software development experience.
• 5 years testing/launching software products and 3 years design/architecture.
• 5 years ML design leadership and ML infra optimization experience.
• 2 years GenAI techniques or GenAI-related concepts experience.

Responsibilities

• Improve Orcas Agent Runtime Platform reliability, scalability, and efficiency.
• Collaborate with product managers, UX, and infra teams to ship reliable services.
• Architect and develop evaluation and customization solutions using ADK and related tools.
• Mentor engineers and scientists on design techniques, coding standards, ML best practices.
• Collaborate with research teams to translate state-of-the-art techniques into product impact.

Skills

Software development

ML design leadership

GenAI concepts

Python programming

Cross-functional collaboration

Education

Bachelor's degree or equivalent

Master's degree or PhD preferred

Tools

Agentic Development Kit (ADK)

Agent Engine

Python

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 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.
• Experience with Python and one or more of the following: Large Language Models (LLMs), Machine Learning, or Generative AI.

About The Job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

The Vertex AI team empowers developers to build next-generation AI solutions. Partnering with Google DeepMind and Cloud AI Research, we bridge scalability and orchestration gaps across GCP (including Gemini and Workspace) to establish Google as the GenAI Agent market leader.

As a Staff Software Engineer on the Orcas Agent Platform team, you will provide critical technical leadership. You will design sophisticated infrastructure and frameworks for GenAI agents, addressing scalability, reliability, and efficiency challenges. You will develop novel tools using the Agentic Development Kit (ADK) and Agent Engine to enable advanced, tool-using agents. Cross-functionally, you will influence product direction, advance techniques, and drive high-impact technology adoption for our enterprise and developer ecosystem.

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: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Responsibilities

Learn more about benefits at Google.

• Improve the reliability, scalability and efficiency of Orcas Agent Runtime Platform.
• Work cross-functionally with product managers, UX designers, and infrastructure teams to ship reliable, scalable, and highly usable services.
• Architect and develop novel evaluation and customization solutions, leveraging advanced techniques and frameworks like Agency/Chiliagon and Agentic Development Kit (ADK) to push the boundaries of model quality assessment ( Cloud Lifecycle AI Tools).
• Mentor and provide technical guidance to other engineers and scientists on the team on design techniques, coding standards, and ML best practices.
• Collaborate closely with research teams to translate state-of-the-art techniques into tangible, real-world product impact.

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.