Drimva

Google

Staff Partner Engineer, Device Platform Operations, YouTube

San Bruno, CA, USA · Staff · Full-time · Posted Oct 12, 2026

Experience
8 years working with client-side web technologies and 8 years coding in C++; additional experience requirements are listed without years.
Education
Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.

About the job

Leads YouTube device-partner integrations and operations, coordinating technical deployments, product improvements, and cross-functional initiatives.

What you'll do

  • Lead implementation reviews, provide integration guidance, and resolve partner technical challenges.
  • Coordinate partner work with engineering, product, and Android ecosystem teams; improve prioritization and communicate with senior leadership.
  • Automate workflows and optimize code using AI resources, including building agents for on-device testing, regression discovery, and remediation recommendations.

What they ask for

  • Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP).
  • 8 years of software development experience coding in C++.
  • Experience troubleshooting partner or customer technical issues; experience in TV, consumer electronics, or embedded systems; and experience with RDK, Android TV, or similar TV platform architecture.

Nice to have

  • Master’s degree in Engineering, Computer Science, Business, or a related field; analytical-role experience; database technologies; or media-industry experience or interest.
  • Strong communication, people management, problem-solving, organizational, prioritization, and multitasking skills.

Pay

$183000 - $265000 USD base salary

Tools

HTML, CSS, JavaScript, HTTP, C++, RDK, Android TV, SQL

AI focus

Use AI resources to automate workflows and optimize code, including AlphaEvolve for memory performance and Gemini-based agents for on-device testing, regression discovery, and remediation recommendations.

Model-written summary · the original posting is authoritative

First seen Oct 21, 2026 · Last verified Nov 4, 2026 (UTC)