Senior Product Solutions Engineer, GenAI Robotics, gTech

Google•Sunnyvale, CA
•$152,000 - $221,000

About The Position

In gTech Users and Products (gUP), the mission is to advocate for Google’s users by creating helpful and trusted experiences across the product ecosystem. The team supports partners and consumers, represents their needs to product teams, and proposes fixes and features that improve engagement with Google products. It also provides product services such as localization, digitization, and partner integration. Google’s gTech teams help bring Google products and services to life. They support customers globally with solutions based on technical skill, product expertise, and an understanding of complex customer needs. Solutions may include bespoke approaches to unique problems or tools that can scale across Google. The Senior Product Solutions Engineer will consult with partners on developing robotics solutions using Google’s Gemini ER, Gemini VLA, and Gemini/Gemma LLM models. The role provides technical guidance on APIs, model customization where applicable, prompt engineering, and solution architecture; creates robotics model simulations and demonstrations in AI Studio; and relays partner feedback and requirements to Google product and engineering teams. The position also works closely with Product Managers, Engineers, and Global Partnerships teams.

Requirements

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

Nice To Haves

  • 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 such as SQL or NoSQL.
  • Experience architecting, developing, or maintaining cloud solutions in virtualized environments or cloud data engineering.
  • Experience using Machine Learning and building solutions.
  • Experience working with systems such as Linux, Unix, or Windows.

Responsibilities

  • Conduct one-to-one technical consultation and brainstorming sessions with partners to guide development of solutions using Google's Gemini ER, Gemini VLA, and Gemini/Gemma LLM models.
  • Provide 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 and create demonstrations showcasing 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 with Product Managers, Engineers, and Global Partnerships teams to provide a cohesive and supportive partner experience.

Benefits

  • Equity
  • Benefits
  • 15% bonus target
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