Lead Software Engineer, Gen AI Infrastructure, Public Sector
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Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with one or more of the following: Gen AI, Natural Language Processing or specialization in another ML field.
- 5 years of experience testing, and launching software products.
- 3 years of experience with Kubernetes operations and security.
Preferred qualifications:
- Master's degree or PhD in Computer Science or a related technical field.
- 8 years of experience with Infrastructure as a Code tools like Terraform and Ansible.
- 5 years of experience with product/solution development with a focus on product capabilities, features, benefits, users, and support needs.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- Experience in a customer-facing role, communicating technical concepts and solutions to non-technical and executive audiences.
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 Lead Applied AI Software Engineer, you will drive work on developing reusable solutions by integrating one or more Google Cloud Platform (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 lead projects developing 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 help customers to develop, deploy, and manage custom solutions in production using Google Cloud technologies.
Application Instructions: Must be a US Citizen to meet customer and compliance requirements, including potential access to classified information.
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
The US base salary range for this full-time position is $197,000-$291,000 + 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
- 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, process improvements, and overall outlook for customer-centric solutions.
- Cultivate trusted technical and business partnerships with customers and partners to identify and resolve recurring mission use cases using GCP services.
- Lead collaboration with internal specialists, partners, Go-To-Market (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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