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Staff Software Engineer, Generative AI, Core Machine Learning

Google
  • Mountain View, CA
  • Full-time
  • Employee
30+ days ago

Job Description

Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience in software development.
  • 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
  • 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential).
  • 5 years of experience testing, and launching software products.
  • 1 year of experience in building Generative AI or agentic applications.

Preferred qualifications:

  • Master’s degree or PhD in Engineering, Computer Science, or a ML-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.
  • Production experience in applying ML related features to a scalable system.

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. In this role, you will transform the development of AI agents from an artisanal craft into an engineering discipline to achieve high-quality, reliability with multi-folds efficiency gains across Google. You will architect and productionize horizontal infrastructure, including generalized Knowledge Store libraries and self-reflection modules. You will apply core design principles, lead deep audits of high-impact agents to extract deterministic logic from monolithic prompts into efficient, code-based workflows. You will scale automated prompt optimization and trace scanning tools to systematically eliminate waste and solve the "GenAI engineering gap" for teams building production-ready agents. Your work will bridge the gap between experimental prototypes and scalable production infrastructure.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $207000 - $301000 (USD) + 20% bonus target + bonus + equity + benefitsLearn more about benefits at Google.

Responsibilities

  • Generalize horizontal tools, including a plug-in Knowledge Store and a Self-Reflection module, into reusable services that any agent can adopt to enable automated learning and improvement.
  • Apply validated design principles to transition deterministic logic from monolithic prompts into efficient, code-based workflows that maximize reasoning value and ensure precise context control.
  • Execute deep architectural reviews and automated trace scanning for high-impact agents to eliminate structural inefficiencies and redundant tool calls in multi-turn reasoning chains.
  • Extend automated prompt optimization frameworks to support multi-step workflows, enabling systematic improvement of both efficiency and quality across the agent ecosystem.
  • Implement code-level safety enforcements and structured tool return patterns within the agent platform to ensure reliability and correctness on deterministic subtasks.
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.

Numbers & Facts

LocationMountain View, CA
Job TypeFull-time, Employee
IndustryComputer Software
Company Size10,000 employees or more
Year Founded1998
Websitehttps://goo.gle/4dbno6V

Benefits

Paid Sick Days, Performance Bonus, Professional Development, 401K, Stock Options, Employee Events, Retirement / Pension Plans, Tuition Reimbursement, Work From Home, Life Insurance, On Site Cafeteria

About Company

Build for everyone

Since our founding in 1998, Google has grown by leaps and bounds. Starting from two computer science students in a university dorm room, we now have thousands of employees and offices around the world. These Googlers build products that help create opportunities for everyone, whether down the street or across the globe.

It starts with how we work together. We’re building a company where people of different views, backgrounds and experiences can do their best work and show up for one another. A place where every Googler feels like they belong.

So whether you develop new technology or creative campaigns, craft beautiful products or breakthrough partnerships, your work here is a chance to accomplish things that matter. Bring your insight, imagination, and healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.

Benefits

We strive to provide Googlers and their loved ones with a world-class benefits experience, focused on supporting their physical, financial, and emotional wellbeing. Our benefits are based on data, and centered around our users: Googlers and their families. They’re thoughtfully designed to enhance your health and wellbeing, and generous enough to make it easy for you to take good care of yourself (now, and in the future). So we can build for everyone, together.

Learn more about Google’s benefits on this site featuring Googlers’ experience.

How we Hire

Google’s hiring process is an important part of our culture. Googlers care deeply about their teams and the people who make them up. In order to  build for everyone, we know that we need a wide range of perspectives and experiences, and a fair hiring process is the first step in getting there.

Learn more about our hiring process.

Skills

  • Algorithmsunmatched
  • Architectural Servicesunmatched
  • Artificial Intelligence (AI)unmatched
  • Artificial Intelligence (AI) Agentsunmatched
  • Artificial Intelligence (AI) Natural Languageunmatched
  • Business Growthunmatched
  • Cloud Computingunmatched
  • Computer Scienceunmatched
  • Cross-Functionalunmatched
  • Data Modelingunmatched
  • Data Processingunmatched
  • Data Storageunmatched
  • Data Structuresunmatched
  • Debugging Skillsunmatched
  • Distributed Computingunmatched
  • Ecosystemsunmatched
  • Equal Employment Opportunity (EEO)unmatched
  • Information Retrievalunmatched
  • Information/Data Security (InfoSec)unmatched
  • Internet Searchunmatched
  • Large-Scale Systemsunmatched
  • Leadershipunmatched
  • Machine Learningunmatched
  • Matrix Managementunmatched
  • Natural Language Processing (NLP)unmatched
  • Network Designunmatched
  • Organizational Skillsunmatched
  • Product/Service Launchunmatched
  • Project/Program Managementunmatched
  • Prototypingunmatched
  • Reinforcement Learningunmatched
  • Safety Codesunmatched
  • Software Administrationunmatched
  • Software Developmentunmatched
  • Software Engineeringunmatched
  • Systems Scalabilityunmatched
  • Team Lead/Managerunmatched
  • Technical Leadershipunmatched
  • Test Plan/Scheduleunmatched
  • Testingunmatched
  • Time Managementunmatched
  • User Interface Designunmatched
  • Web Client Plug-insunmatched

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