Senior Product Solutions Engineer, GenAI Robotics, gTech

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
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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
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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).

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.