Senior Software Engineer, Generative AI, Core ML

Google

Mountain View, CA
30+ days ago

Highlights

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. 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.

Numbers & Facts

Location	Mountain View, CA
Industry	Computer Software
Company Size	10,000 employees or more
Year Founded	1998
Website	https://goo.gle/4dbno6V

Description

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
5 years of experience in software development.
3 years of experience with one or more of the following ML application: NLP, computer vision, Speech/audio, specialization in another ML field.
3 years of experience leading ML productionization or infrastructure optimization (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
1 year of experience in building Generative AI or agentic applications.

Preferred qualifications:

Master's degree or PhD in Machine Learning or related field.
1 year in technical leadership role.
Experience with core Generative AI modeling, leading Generative AI model productionization or infrastructure optimization.

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. As an engineer for these initiatives, 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, to enable agents to learn and improve autonomously with every run. 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, ensuring the entire agent ecosystem benefits from encoded best practices and high-performance solutions .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: $174000 - $253000 (USD) + 15% 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.
Conduct 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.

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.