Staff Unified Communications Engineer

Posted 6 Days Ago
Be an Early Applicant
Santa Clara, CA, USA
In-Office
144K-230K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Develop and operate unified communications software and infrastructure across Microsoft Teams Rooms, Cisco Webex RoomOS, Zoom, Google Meet, and Slack. Build API integrations, full-stack tools, automation, observability, and AI-assisted capabilities using Python, Bash, JavaScript, PowerShell, and cloud services. Manage provisioning, policies, firmware, incident response, meeting reliability, and user experience metrics while partnering cross-functionally to troubleshoot rooms, clients, cloud services, and networks.
Summary Generated by Built In

NVIDIA is seeking a skilled Staff UC/Software Development Engineer to join our IT-EPE organization and be a key member of Unified Communications and employee collaboration experience. This role will involve Software Development on 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 Software Development with 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 development of 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 key part of design, operations, and evolution of our Unified Communications platform, spanning Cisco Webex RoomOS and room systems, Microsoft Teams Rooms, and related collaboration services. Day to day you will keep meeting spaces reliable, integrate UC with cloud infrastructure, and improve how we observe and automate the estate.

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

  • Build, Manage and Extend full-stack development with in UC domain, covering monitoring, admin tooling, and user-facing Products, including AI-assisted capabilities.

  • Operate and enhance Cisco Webex RoomOS and room systems and 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.

  • Automate administrative and operational work with Java Script, Python, Bash, and generative AI tools with MCP, Inference & LLMs, 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 troubleshoot issues across rooms, clients, cloud services (Azure and AWS), and the network path.

What we need to see:

  • Bachelor’s degree in computer science, Information Technology, or a related field (or equivalent experience).

  • 6+ years of overall experience in full stack Development, Unified Communications, collaboration engineering, or a closely related Software development role.

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

  • Practical software development 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 across Azure and AWS cloud 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 developed tools pertaining to UC.

  • Demonstrated ability to automate and troubleshoot 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.

  • This position is located in the Bay Area.

Ways to stand out from the crowd:

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

  • Understanding of Contact center deployment, Digital Signage, MDM & Visitor Management system.

  • Basic networking knowledge, including TCP/IP, DNS, DHCP, VLANs, routing, switching, firewalls, and UC troubleshooting tools 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 cross-functional collaboration and strong operational ownership.

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables outstanding creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for exceptional people like you to help us accelerate the next wave of artificial intelligence.

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 20, 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.

Skills Required

  • 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 software development and unified communications experience with Cisco Webex RoomOS, room systems, and Microsoft Teams Rooms
  • Experience with enterprise meeting platforms including Microsoft Teams, Zoom, Google Meet, and Cisco Webex
  • Software development experience supporting scheduling, meeting joining, room-to-desktop interoperability, calendaring, client policies, chat, calling, and video meetings
  • IT infrastructure knowledge across Azure and AWS cloud services
  • Working knowledge of AI models and full-stack development practices
  • Experience automating and troubleshooting unified communications tasks using Python and Bash
  • Experience with generative AI tools
  • Experience with API integrations, Microsoft Graph, and PowerShell
  • Familiarity with unified communications observability, Call Quality Dashboard, and user experience metrics
  • Familiarity with webcast and streaming infrastructure, including multicast distribution
  • Understanding of contact center deployment, digital signage, MDM, and visitor management systems
  • Basic networking knowledge including TCP/IP, DNS, DHCP, VLANs, routing, switching, firewalls, packet capture, call-path analysis, and device logs
  • Knowledge of speech-to-text, text-to-speech, and speech-to-speech AI architectures
  • Excellent analytical, problem-solving, written communication, and cross-functional collaboration skills
  • Ability to work in the Bay Area

NVIDIA Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.

  • Equity Value & Accessibility Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
  • Healthcare Strength Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
  • Retirement Support Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.

NVIDIA Insights

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The Company
HQ: Santa Clara, CA
21,960 Employees
Year Founded: 1993

What We Do

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”

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