Eye Tracking Systems Staff Software Engineer

Google Google · Big Tech · San Jose, CA +2

Staff Software Engineer for Google's XR Perception team, focusing on eye tracking systems for AR/VR. The role involves technical leadership, algorithm design, and software development for compute-constrained Android devices, with an emphasis on integrating generative AI and LLM interfaces into workflows.

What you'd actually do

  1. Provide technical leadership on high-impact projects and cross-functional leadership to guide the eye tracking system design for XR.
  2. Influence and coach a distributed team of engineers.
  3. Facilitate alignment and clarity across collaborating engineering teams, UX Researcher/UX Developer, Program Manager/Technical Program Managers, and external partners.
  4. Manage project priorities, deadlines, and deliverables.
  5. Influence and contribute to perception algorithms design and implementation. Write robust, reliable, efficient, and testable software designed to run on compute-constrained android devices running perception pipelines at high frame rate and bandwidth.

Skills

Required

  • C++
  • Java
  • Python
  • Kotlin
  • Go
  • software testing
  • software launching
  • eye tracking system design
  • software design
  • software architecture
  • generative AI tools integration
  • Large Language Model (LLM) interfaces integration

Nice to have

  • Master’s degree or PhD in Engineering, Computer Science, or a related technical field
  • data structures
  • algorithms
  • technical leadership
  • complex, matrixed organization experience
  • cross-functional projects
  • cross-business projects

What the JD emphasized

  • eye tracking system design
  • perception algorithms design and implementation
  • compute-constrained android devices running perception pipelines at high frame rate and bandwidth
  • integrating generative AI tools or Large Language Model (LLM) interfaces into workflows

Other signals

  • XR Perception team develops exceptional sensing algorithms
  • convergence of AI and XR
  • lightweight XR devices like smart glasses and headsets pair with helpful AI
  • Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows