Jobs Companies NVIDIA Staff Unified Communications Engineer

Über diese Staff Unified Communications Engineer Stelle bei NVIDIA

NVIDIA · Vor Ort · US, CA, Santa Clara

NVIDIA is seeking a skilled Staff UC/Collaboration Engineer to join our IT-EPE organization and be a key member of Unified Communications and employee collaboration experience. This role will involve conferencing systems including Microsoft Teams meeting environments and Cisco RoomOS. It also covers meeting platforms such as Teams, Zoom, Gmeet, and Slack. Employees use these daily on desktop devices, mobile apps, and in meeting rooms.

The role requires confirmed UC domain knowledge, technical proficiency in Python and Bash automation, API integrations including Microsoft Graph and PowerShell, and strong communication skills.

Candidates who have operated enterprise meetings platforms, instrumented UC observability and CQD, and applied AI to full-stack UC products will stand out. An appropriate candidate will have an outstanding opportunity to influence a dynamic, technology-focused company that is shaping how people meet, collaborate, and work. If you demonstrate excellence and creative problem-solving, and if you like working with distributed teams, your place is with us!

What you'll be doing:

You will be a key part of building, operations, and evolution of our Unified Communications platform, spanning the Microsoft Teams meeting room system, Cisco RoomOS Hardware, Teams Phones, Qsys Integration, 4k Streaming and related collaboration services. Day to day you will keep meeting/collaboration spaces reliable, integrate UC with cloud infrastructure, and improve how we observe and automate the estate.

  • Operate and enhance Microsoft Teams Rooms, including provisioning, policy, firmware lifecycle, and incident response, and support the employee-facing meetings and collaboration experience across rooms, desktops, and mobile clients.

  • Build and maintain integrations using Microsoft Graph, PowerShell, and REST APIs so UC systems stay in sync with identity, calendaring, and IT service platforms.

  • Manage and extend existing full-stack products supporting UC, covering monitoring, admin tooling, and user-facing workflows, including AI-assisted capabilities.

  • Automate administrative and operational work with Python, Bash, and generative AI tools so routine changes, health checks, and remediations are repeatable and auditable.

  • Instrument UC observability through Call Quality Dashboard (CQD), user experience metrics, and dashboards that reflect what users actually experience in rooms and meetings.

  • Partner with IT, networking, facilities, security, and product teams to identify and solve issues across rooms, clients, cloud services (Azure and AWS), and the network path.

  • Document runbooks, standards, and change procedures so the collaboration platform is supportable at scale.

What we need to see:

  • Bachelor's degree in Computer Science, Information Technology, or equivalent experience.

  • 8+ years of overall experience in Unified Communications, collaboration engineering, or a closely related IT platform role.

  • Hands-on Unified Communications domain knowledge of Cisco Webex RoomOS and room systems and Microsoft Teams Rooms, plus enterprise meetings platforms used by employees such as Cisco Webex Meetings and Microsoft Teams meetings.

  • Practical experience supporting the employee collaboration estate: scheduling and joining meetings, hybrid room-to-desktop interoperability, calendaring, client policies, and day-to-day user experience across chat, calling, and video meetings.

  • IT infrastructure knowledge spanning Azure’s environment and Amazon Web Services as they apply to UC, identity, and supporting services.

  • Working knowledge of AI models and development practices, with the ability to manage existing full-stack products pertaining to UC.

  • Demonstrated ability to automate and resolve UC administrative and operational tasks using Python and Bash scripting, along with generative AI tools.

  • Experience with API integrations, Microsoft Graph, and PowerShell.

  • Familiarity with UC observability, CQD, and user experience metrics such as call quality, join success, reliability, and device health.

  • Ability to work onsite in Santa Clara, CA

Ways to stand out from the crowd:

  • Familiarity with webcast and streaming infrastructure, including multicast distribution for large-audience live events.

  • Basic networking knowledge, including TCP/IP, DNS, DHCP, VLANs, routing, switching, firewalls, and UC tools for fixing issues such as packet capture, call-path analysis, and device logs.

  • AI model knowledge covering speech-to-text, text-to-speech, and speech-to-speech architectures and modules.

  • Excellent analytical, problem-solving, and written communication skills, with a track record of multi-functional collaboration and strong operational ownership.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and dedicated people in the world working for us. If you are creative and autonomous, we want to hear from you!

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 144,000 USD - 230,000 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 15, 2026.

This posting is for an existing vacancy. 

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA .

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