Software Engineer, Generative AI, Applied AI

Staff Software Engineer, Generative AI, Applied AI

Google, Sunnyvale, CA, USA

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

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model deployment, evaluation, data processing, debugging, fine tuning).
• 5 years of experience designing, architecting, and launching software products.
• 2 years of experience with GenAI techniques (e.g., Large Language Models, Multi-Modal) or related concepts.

• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex organization involving cross‑functional or cross‑business projects.

Google’s software engineers develop next‑generation technologies that change how billions of users connect, explore, and interact. For this Staff Software Engineer in Applied AI, you will work on conversational agents at large scale, building systems that deliver meaningful real‑world results such as customer agents for call centers and food ordering. You will collaborate with model builders from Deep Mind and Vertex, learn from AI leaders, and engage with global customers via Google Cloud relationships.

The US base salary range for this full‑time position is $197,000–$291,000 plus bonus, equity, and benefits. Pay is determined by role, level and location. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Compensation details listed in US role postings reflect the base salary only; bonus, equity and benefits are additional.

• Drive the technical strategy, architecture, and execution for complex, ambiguous projects on our conversational AI platform and define the technical roadmap for scalable, long‑term solutions.
• Act as the lead engineering partner for product management and UX, refining ambiguous customer needs into concrete technical designs and driving consensus across teams.
• Manage and iterate on new platform capabilities to meet immediate customer needs, balancing speed with long‑term technical health and advocating best practices.
• Leverage user empathy to guide product direction, respond thoughtfully to customer feedback, and build intuitive, powerful, and seamless developer experiences.

Google is an equal‑opportunity and affirmative action employer. We commit to building a workforce that reflects the users we serve, fostering a culture of belonging, and providing equal employment opportunity regardless of protected characteristics. Google requires English proficiency for all roles unless otherwise stated. Google does not accept agency resumes. Google is not responsible for any fees related to unsolicited resumes.