Principal Engineer, Specialized Software

Small teams, operating with context, empowerment and access to the world’s most promising technology, often create the breakthroughs that define markets. At Google, we can point to 10 products and platforms with over a billion users that started out as projects that initially no one really believed in other than the few engineers who started them.

The Office of the CTO (OCTO) in Google Cloud has leveraged this insight, combined with the direct sponsorship of the Cloud CTO and CEO, to help our most strategic customers transform their organizations using small, adaptable teams and methods, while concurrently supporting our internal collaborators as they take these early technology proof points and build them into scaled products and platforms.

As a Principal Software Engineer, Applied AI, Office of the CTO, Google Cloud, you will create and reinforce the human pathways between Google Engineering and our most strategic customers and partners, allowing all of us to start from loosely defined, potentially transformative market opportunities and convert them into new, technology-enabled businesses. You will help our customers create their future and help us create the future of Google by continuously tuning our innovation system and products to the needs of the world’s most complex enterprises.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

The US base salary range for this full-time position is $282,000-$392,000 + 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 in a technical field, or equivalent practical experience
• 15 years of work experience in software, hardware, or infrastructure engineering, with a focus on technical innovation and engineering leadership

Preferred qualifications:

• Master’s degree or PhD in an AI related field
• Entrepreneur or startup experience within a larger organization
• Knowledge of Cloud or AI (builder, code and design savvy)
• Recognized expert in the field of AI, with examples of products, platforms or experiences built with AI at its core