Enterprise AV Design and Collaboration Engineer

Posted Yesterday
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Santa Clara, CA, USA
In-Office
144K-230K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
Designs, deploys, and supports enterprise audiovisual environments, including Teams Rooms, conference rooms, event spaces, AV-over-IP, DSP, control systems, and telephony. Manages vendors, purchase orders, equipment logistics, installation projects, commissioning, and Tier 3 troubleshooting. Develops API-led automation and smart-building integrations while ensuring reliable, scalable collaboration experiences across global sites.
Summary Generated by Built In

NVIDIA is searching for a creative and highly motivated Enterprise AV Design & Collaboration Engineer to design world class conference rooms and event spaces that empower us to work at the speed of light. In this on-site role, you will not just fix issues; you will engineer the seamless experiences and manage the critical logistics that allow our teams to build the future of AI. We have some of the most forward-thinking and hardworking people in the world working for us. If you're creative and autonomous, we want to hear from you! Ready to take your career to the next level? Apply now and join the innovation!

What you'll be doing:

  • Act as a technical domain expert for our global AV environment, contributing to the design and deployment of sophisticated Teams Rooms and internal event spaces.

  • Rely on you to drive the end-to-end logistics of our AV infrastructure; you will manage Purchase Orders (POs) and vendor relationships, coordinating the ordering, configuration, and shipping of equipment to ensure our global sites are equipped on schedule.

  • You will work closely with our Real Estate, Facilities, and Network teams to lead all aspects of AV installation projects from architectural drawings to final commissioning, ensuring every room meets our high standards of user experience.

  • Provide Tier 3 solving and operational support, resolving intricate hardware and software issues across Cisco, Q-SYS, and Shure ecosystems to ensure maximum uptime for critical meetings.

  • Design and support the MTR ecosystem on Cisco hardware, including Teams Phone architecture, complex dial plans, auto-attendants, call queues, and PSTN connectivity via Direct Routing and Operator Connect with high availability.

  • Drive API-led automation (Webex, Microsoft Graph), develop custom macros/UI extensions, integrate AV with smart-building systems, and apply an observability-first and UX journey–driven approach to deliver seamless, scalable collaboration experiences.

What we need to see:

  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related technical field (or equivalent experience).

  • 8+ years of relevant experience in Audio Visual engineering, design, and support within an enterprise environment.

  • Deep technical expertise in configuring and fixing AV-over-IP systems, DSP programming (Q-SYS/Biamp), and control systems (Crestron/Extron).

  • Strong understanding of networking protocols (TCP/IP, VLAN, DHCP, Multicast) and how they apply to AV traffic (Dante, AES67, NVX).

  • Proven experience managing large-scale deployments of Zoom Rooms or Microsoft Teams Rooms.

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.

Skills Required

  • Bachelor's degree in Computer Science, Electrical Engineering, or a related technical field, or equivalent experience
  • 8+ years of relevant enterprise Audio Visual engineering, design, and support experience
  • Deep expertise configuring and troubleshooting AV-over-IP systems
  • Experience with DSP programming using Q-SYS or Biamp
  • Experience with control systems such as Crestron or Extron
  • Strong understanding of TCP/IP, VLAN, DHCP, and Multicast networking protocols as applied to AV traffic
  • Experience with Dante, AES67, or NVX
  • Experience managing large-scale Zoom Rooms or Microsoft Teams Rooms deployments

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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