Job Description

Senior Software Engineer, Infra, Vertex Gemini API+ Serving _corporate_fare_ Google _place_ Sunnyvale, CA, USA **Mid** Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. **Minimum 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 developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. + Experience building and architecting production quality Machine Learning (ML) infrastructure. + Experience in AI/ML related engineering, developing, deploying, managing, and maintaining Machine Learning infrastructure. **Preferred qualifications:** + Master's degree or PhD in Computer Science or a related technical field. + 5 years of experience with data structures/algorithms. + 1 year of experience in a technical leadership role. + Experience developing accessible technologies. **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. In this role, you will build the scalable and reliable infrastructure for Gemini Live API, enabling groundbreaking applications and driving innovation across industries. You will be pushing the boundaries of AI, empowering businesses to unlock new possibilities through advanced machine learning solutions, and shaping the future of intelligent technology. You will collaborate closely with research teams and customers to understand their needs and deliver solutions that meet the highest standards of performance, security, and reliability. The ML, Systems, and Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world. We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud's Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers. The US base salary range for this full-time position is $166,000-$244,000 + 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 aboutbenefits at Google ( . **Responsibilities** + Write and test product or system development code. + Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. + Partner with research teams and Google DeepMind to productize models and technology on the Vertex AI platform, bridging the gap between research and real-world applications. + Design and implement cloud APIs and services for model deployment and management, ensuring seamless integration and user experience. + Build infrastructure and services that enable model quality and evaluation processes, ensuring models meet the highest standards of accuracy. Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google'sApplicant and Candidate Privacy Policy (./privacy-policy) . 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 alsoGoogle's EEO Policy ( ,Know your rights: workplace discrimination is illegal ( ,Belonging at Google ( , andHow we hire ( . If you have a need that requires accommodation, please let us know by completing ourAccommodations for Applicants form ( . 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. 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 and If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form:

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