Senior Software Engineer, Gen AI Infrastructure, Public Sector

Senior Software Engineer, Gen AI Infrastructure, Public Sector

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 AI/ML Software Engineer, you will work on developing reusable solutions by integrating one or more GCP products and technologies to solve a recurring business problem in a differentiated, repeatable manner that accelerates time-to-value and reduces risk for customers. You will help develop repeatable assets that reduce implementation friction, and increase maintainability for critical customer problems and use cases, helping them transform their businesses using GCP AI/ML stack and related technologies. You will also work with key Google partners and customers to scope engagements, provide solution implementation services, and provide technical guidance and best practice expertise making Google Cloud easy to adopt. Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.

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 about benefits at Google.

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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 3 years of experience with one or more of the following: Containerization, GKE, Openshift.

Preferred Qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with ML and Data Science.
• 5 years of experience with product/solution development with a focus on product capabilities, features, benefits, users, and support needs.
• 1 year of experience in a technical leadership role.
• Experience in a customer-facing role, communicating technical concepts and solutions to non-technical and executive audiences.

Responsibilities:

• Architect innovative, long-term solutions by strategically analyzing customer needs and focusing on future possibilities; oversee cross-functional teams in the development of deployable code, machine learning models, prescriptive architecture, and implementation guides.
• Define and own solution requirements, ensuring alignment with the go-to-market strategy; co-lead the design, roadmap, and overall vision for customer-centric solutions.
• Cultivate trusted technical and business partnerships with customers and partners to identify and resolve recurring mission use cases using Google Cloud Platform services.
• Lead collaboration with internal specialists, partners, GTM teams, product and engineering teams to transform best practices into thought leadership, methodologies, and published assets.
• Enable customers and partners to develop, deploy, and manage custom solutions on Google Cloud technologies.

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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.

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.

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