Staff Systems Engineer - Av & Unified Comms.

Visa Visa · Fintech · Austin, TX

Staff Systems Engineer focused on implementing enterprise-grade audiovisual and collaboration environments. The role involves leading AV build standards, working with vendors, and ensuring solutions are intuitive, supportable, and aligned with security and reliability requirements. A key aspect is enabling AI-assisted collaboration and leveraging AI-enabled tools for design, monitoring, and lifecycle management of AV and UC environments.

What you'd actually do

  1. Enable AI‑assisted collaboration experiences through AV hardware standards and identifying agentic automation opportunities that improve deployment, monitoring, and lifecycle management of AV and UC environments.
  2. Leverage AI enabled tools and analytics (e.g., event data, device telemetry, and monitoring insights) to inform design decisions, identify systemic issues, and improve the reliability and performance of AV and UC environments at scale.
  3. Apply a product mindset, partnering with Product, Workplace, and Operations teams to evolve room design and collaboration experiences using usage data, user feedback, and lifecycle insights.
  4. Partner closely with AV Operations and Support teams to analyze repeat incidents and systemic issues, using feedback loops and lifecycle data to improve standards, drive corrective design changes, and reduce long‑term support effort.
  5. Serve as a subject matter expert for Microsoft Teams Rooms (Windows), including compute, touch controllers, schedulers, cameras, microphones, and BYOD/USB‑C workflows.

Skills

Required

  • Experience designing and delivering enterprise‑scale AV and UC solutions
  • Microsoft Teams Rooms
  • AV‑over‑IP architectures
  • Technical leadership and governance across AV/UC vendors and integrators
  • Microsoft Teams Rooms (Windows)
  • DSP platforms (e.g., QSYS)
  • Ceiling microphone arrays
  • Wireless microphone systems
  • Professional audio design
  • Large format displays and LED video walls

Nice to have

  • Agentic automation opportunities

What the JD emphasized

  • AI-assisted collaboration experiences
  • AI enabled tools and analytics
  • AI-first mindset