Senior Software Engineer, ML Infrastructure, Core Infra

Senior Software Engineer, ML Infrastructure, Core Infra corporate_fare Google place Sunnyvale, CA, USA Apply Qualifications Bachelor’s degree or equivalent practical experience. 5 years of experience with software development in one or more programming languages. 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture. 3 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 decision making), ML infrastructure, or specialization in another ML field. 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging). Preferred qualifications Experience designing and developing infrastructure, and disambiguating product feature needs to storage infrastructure needs. Experience managing decisions across cross-organization and cross-team stakeholders. Experience establishing partnerships and managing short‑term and long‑term goals for the team. Proficiency in programming languages such as Java, C++ and Kotlin. Ability to manage and deliver testing and reliable storage solutions in changing environments. 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. The Conversational Artificial Intelligence Core Infrastructure team's mission is to build infrastructure, tools, and features that enable delivering unified, efficient, scalable products with accelerated go‑to‑market. In this role, you will build centralized infrastructure solutions and products for enabling conversational artificial intelligence product teams including agent assist, dialogflow, and insights to advance in compliance, customer onboarding and integrations, feature development, go‑to‑market, and scaling. The Cloud Applied AI (AAI) powers business growth with Gemini Enterprise. Our portfolio includes Gemini Enterprise for Customer Experience (Shopping Agent, CX Agent Studio, Agent Assist, Vertex AI Search – Commerce, Customer Experience Insights), along with other vertical and domain packaged solutions. We enable high adoption and speed to value by building solutions that are quickly deployed, delivering new 0‑to‑1 capabilities with startup agility. Team members operate at the forefront of AI, collaborating directly with model builders with unprecedented speed. Join us to work on cutting‑edge projects and shape the future of AI in a fast‑paced, collaborative, and impactful environment. The US base salary range for this full‑time position is $174,000–$252,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job‑related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google. Responsibilities Work with engineering leads, product manager, and user experience to define the direction of the team. Work with engineering leads to define project ownership for the sub‑teams and the Waterloo site. Drive the development, launch, and landing of infrastructure projects. Foster collaboration between infrastructure team leads and partner team team leads. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents‑to‑be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire. Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes. #J-18808-Ljbffr Google Inc.