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Salary
≈ $140k – $278k per year (Estimated)
Location
In office (Sunnyvale)
Seniority
Senior · 6+ years exp

Confirmed on the employer's own hiring board on Oct 20, 2026. First seen by Alion on Sep 21, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

In gTech Users and Products (gUP), our mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. We achieve this by meeting partners and consumers where they are with support and help, representing their needs with our product partners and proposing fixes and features that elevate their engagement with Google's diverse product ecosystem. Additionally we provide a range of product services that ensure our products are optimized for every user, no matter where they are in the world (e.g., localization, digitization, partner integration, and more).

Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.

To learn more about gTech, check out our video.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $152000 - $221000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Conduct 1:1 technical consultation and brainstorming sessions with partners to guide them in developing innovative solutions using Google's Gemini ER, Gemini VLA, and Gemini/Gemma LLM models.
  • Provide expert technical guidance on API integration, model customization (where applicable), prompt engineering, and solution architecture for Robotics projects.
  • Create simulations for robotics models in AI Studio, as well as create demos to showcase robotics models' capabilities.
  • Gather, synthesize, and relay partner feedback, use cases, and technical requirements to internal Google product and engineering teams to influence future development.
  • Collaborate closely with Product Managers/Engineers and Global Partnerships teams to ensure a cohesive and supportive experience for partners.

Qualifications

Minimum qualifications:

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 6 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
  • 6 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python).
  • Experience troubleshooting technical issues for internal/external partners or customers.

Preferred qualifications:

  • Master’s degree in Engineering, Computer Science, Business, or a related field.
  • Experience in an investigative role such as business intelligence, data analytics, or statistics.
  • Experience working with database technologies (e.g., SQL, NoSQL).
  • Experience with cloud technologies such as architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
  • Experience using Machine Learning and building solutions.
  • Experience working with systems (e.g., Linux, Unix, Windows).
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