NVIDIA
Staff Software Developer, Unified Communications
$144K–$230K
US, CA, Santa Clara · Staff · Full-time · Posted Sep 28, 2026
- Experience
- 6+ years overall; in full stack Development, Unified Communications, collaboration engineering, or a closely related Software development role.
- Education
- Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).
About the job
Develop and operate NVIDIA’s Unified Communications platform, integrating and improving meeting systems, collaboration services, automation, and observability across rooms, desktop, and mobile.
What you'll do
- Design, operate, and evolve UC systems, including Cisco Webex RoomOS and Microsoft Teams Rooms, and support meeting reliability and incident response.
- Build integrations and automation for UC systems using APIs, scripting, and generative AI tools.
- Improve UC observability with Call Quality Dashboard, user-experience metrics, and dashboards; develop monitoring, admin tooling, and user-facing products.
What they ask for
- Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).
- 6+ years of experience in full stack Development, Unified Communications, collaboration engineering, or a closely related Software development role.
- Hands-on UC development experience with Cisco Webex RoomOS and room systems, Microsoft Teams Rooms, and enterprise meeting platforms.
- Experience with Python and Bash scripting, API integrations, Microsoft Graph, and PowerShell.
Nice to have
- Familiarity with webcast and streaming infrastructure, including multicast distribution for large-audience live events.
- AI model knowledge covering speech-to-text, text-to-speech, and speech-to-speech architectures and modules.
Pay
144,000 USD - 230,000 USD base salary
Tools
Cisco Webex RoomOS, Microsoft Teams Rooms, Microsoft Graph, PowerShell, REST APIs, Java Script, Python, Bash
AI focus
Develop and maintain UC products with AI-assisted capabilities; automate operations using generative AI tools with MCP, Inference & LLMs; work with AI models and development practices.
Model-written summary · the original posting is authoritative