Principal Software Engineer, Applied AI, Office of CTO

Google Cloud accelerates organizations' digital transformation by delivering enterprise-grade solutions leveraging cutting-edge technology.
$253,000 - $363,000
Machine Learning
Principal Software Engineer
In-Person
5,000+ Employees
15+ years of experience
AI · Enterprise SaaS · Cloud

Description For Principal Software Engineer, Applied AI, Office of CTO

Google Cloud's Office of the CTO (OCTO) is seeking a Principal Software Engineer specializing in Applied AI to join their innovative team. This unique position offers an extraordinary opportunity to work with concentrated engineering and technology talent from diverse backgrounds in a small, focused organization.

The role stands out for its autonomous nature, allowing experienced professionals to pursue self-directed projects without the typical constraints of short-term pressures. As part of OCTO, you'll have the freedom to leverage your extensive experience in ways that align with both your interests and Google Cloud's strategic objectives.

The position requires 15 years of experience in software, hardware, or infrastructure engineering, with a strong emphasis on AI expertise and technical leadership. You'll be working at the intersection of innovation and practical application, helping shape the future of Google Cloud's AI initiatives while directly impacting strategic customer success.

What makes this opportunity particularly compelling is the direct sponsorship from Cloud CTO and CEO, enabling you to work on transformative projects that often require years to fully realize. You'll be part of a team that helps strategic customers transform their organizations while simultaneously supporting internal teams in scaling proof-of-concept technologies into robust products and platforms.

The compensation package is highly competitive, ranging from $253,000 to $363,000 base salary, plus bonus, equity, and comprehensive benefits. This role offers the chance to work from several major tech hubs across the United States, including Sunnyvale, Cambridge, Chicago, and Seattle, among others.

If you're passionate about AI, have a proven track record of technical innovation, and want to work in an environment that values long-term impact over short-term metrics, this role presents an exceptional opportunity to shape the future of cloud technology and AI applications at one of the world's leading tech companies.

Last updated 6 days ago

Responsibilities For Principal Software Engineer, Applied AI, Office of CTO

  • Partner with engineering and product teams to identify and test strategic, horizontal opportunities
  • Identify future state of Google Cloud products and chart implementation paths
  • Help strategic customers and partners adopt cloud and AI technologies through expert advice
  • Inspire others through sharing experiences in advanced technology development
  • Create human pathways between Google Engineering and strategic customers/partners

Requirements For Principal Software Engineer, Applied AI, Office of CTO

  • Bachelor's degree in a technical field, or equivalent practical experience
  • 15 years of work experience in software, hardware, or infrastructure engineering
  • Focus on technical innovation and engineering leadership
  • Expertise in the field of AI
  • Experience with products, platforms, or experiences built with AI at its core

Benefits For Principal Software Engineer, Applied AI, Office of CTO

Medical Insurance
Dental Insurance
Vision Insurance
Parental Leave
  • Bonus
  • Equity
  • Benefits package (details available at careers.google.com/benefits/)

Interested in this job?

Jobs Related To Google Principal Software Engineer, Applied AI, Office of CTO

Principal Developer, Applied AI, Cloud Applications

Principal Developer role at Google Cloud focusing on Applied AI architecture and technical leadership for product portfolio.

Silicon AI/ML Lead Architect

Lead the architecture and development of next-generation AI accelerators for Google Cloud's data centers, focusing on custom silicon solutions and hardware-software optimization.

Senior Product Manager, Real World Journeys Search Quality

Senior Product Manager role at Google, leading Search Quality initiatives for Real World Journeys, requiring 8+ years of experience in product management and ML systems.

Distinguished Engineer, Workspace AI

Lead technical architect role for Google Workspace AI features, requiring expertise in ML/AI and 15+ years of engineering experience, offering competitive compensation and benefits.

Silicon AI/ML Architect, TPU, Google Cloud

Lead the architecture development of AI/ML SoCs for Google Cloud's TPU platform, focusing on performance optimization and hardware-software integration.