Senior Staff Software Engineer, Cloud AI, Full Stack
Google· Internet & Cloud Services· Aug 4, 2026 · 3mo agoPosted 84 days ago
Sunnyvale, CA, USA
In office
Full-time
Staff
$180K–$242K est.
8+ years exp
Competition signal
- Found on LinkedIn · Fewer than 25 applicants clicked apply
- Found on Indeed
Before you apply
Ghost Signal:
Open 84 days.
Job description
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI and share findings with the broader research community. We also collaborate with product teams to bring innovations to real-world impact that benefits our customers.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) + 25% bonus target + equity + benefits
Learn more about benefits at Google .
• Set the overarching technical goals, roadmap, and architectural decisions to ensure Colab continues as the premier notebook platform inside and outside Google.
• Collaborate closely with product, user experience (UX), and partner engineering teams to seamlessly align technical execution with product strategy and goals.
• Oversee the scalability, reliability, security, and overall engineering excellence of all Colab systems and infrastructure.
• Scale team velocity and performance continuously by advocating and implementing the best engineering tools and practices.
• Mentor, guide, and develop executive engineers and technical leads (TLs) actively within the Colab organization to build a strong engineering culture.
• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 5 years of experience with design and architecture; and testing/launching software products.
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 8 years of experience in software development.
• 7 years of experience with full stack development, across back-end such as Java, Python, GO, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 5 years of experience with design and architecture; and testing/launching software products.
Preferred qualifications:
• Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
• 8 years of experience with data structures and 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.
• Experience designing, building, or implementing cutting-edge machine learning (ML) and developer-focused tooling.
• Experience developing and scaling high-performance developer tools, environments, or platforms.
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