Senior Staff Software Engineer, ML Infrastructure, Agents Infrastructure

Senior Staff Software Engineer ML Infrastructure Agents Infrastructure - Google Careers

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Senior Staff Software Engineer ML Infrastructure Agents Infrastructure share link Copy link email Email a friend corporate_fare Google place Sunnyvale CA USA bar_chart Advanced

Advanced Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders, deep expertise in domain.

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Minimum qualifications

• Bachelors degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design and optimizing industry-scale ML infrastructure e.g. model deployment, model evaluation, data processing, debugging, fine tuning.
• 5 years of experience with design and architecture and testing, launching software products.
• 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

• Masters degree or PhD in Engineering, Computer Science or a related technical field.
• 8 years of experience with data structures and algorithms.
• 5 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.

About the job Googles 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. Were 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 Googles 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.

Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders Google DeepMind Vertex, learn and work with brilliant AI leaders and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous.

Responsibilities

• Lead the design and implementation of back-end services and the Agent API, abstracting complex Google Cloud Platform (GCP) infrastructure into a modern asynchronous event-driven framework.
• Build the infrastructure for seamless communication and autonomous tool-use, enabling specialized agents to interact with APIs and databases to solve complex multi-step goals.
• Develop always-on analysis systems that ingest and reason over massive data streams from hundreds of disparate sources including Enterprise Resource Planning (ERPs), Customer Relationship Management (CRMs) and unstructured documents.
• Implement robust frameworks for monitoring, tracing and explainability to ensure all agentic actions are transparent, auditable and reliable for enterprise customers.
• Partner with Vertex AI and Google DeepMind to leverage, integrate and influence the future roadmap of Googles core agent frameworks and AI models.

Information collected and processed as part of your Google Careers profile and any job applications you choose to submit is subject to Googles Applicant and Candidate 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 also Googles EEO Policy. Know your rights: workplace discrimination is illegal. Belonging at Google and How we hire.

If you have a need that requires accommodation, please let us know by completing our Accommodations 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.

Follow Life at Google on More about us About us open_in_new Contact us open_in_new Press open_in_new Related Information Investor relations open_in_new Blog open_in_new Equal Opportunity 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 Googles EEO Policy. Know your rights: workplace discrimination is illegal. Belonging at Google and How we hire.

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