Senior Software Engineer, AI Innovation

Position: Senior Staff Software Engineer, AI Innovation
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Minimum qualifications:

* Bachelor's degree or equivalent practical experience.

* 8 years of experience programming in C++.

* 5 years of experience with design and architecture; and testing/launching software products.

* Experience integrating generative AI tools or LLM interfaces into workflows.

* Experience integrating generative AI tools or LLM interfaces into workflows.

Preferred qualifications:

* Master's degree or PhD in Engineering, Computer Science, or a related technical field.

* 8 years of experience with data structures/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

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.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $262,000-$365,000 + 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

* Offer technical oversight and direction across the portfolio and projects. Engage with teams on technical issues, including design reviews, architecture choices, code contributions, and debugging.

* Mentor and coach project teams, promoting good engineering practices and improving the technical quality of projects. Define, refine, and help implement practices and processes for technical execution and review within the iteration models.

* Develop and promote a technical strategy to increase the success rate and impact of the Innovation Accelerator programs.

* Contribute to defining and implementing the project graduation process, working to ensure smooth transitions of projects to sponsoring teams.

* Collaborate with Technical Leads/Managers, Product Managers, and other stakeholders to grow the scope and impact of the program.