Audiovisual Deployment Engineer

About the Team

OpenAI's IT organization supports the mission of deploying artificial general intelligence (AGI) for the benefit of all. Our team is committed to providing seamless technological support and solutions to ensure that all OpenAI employees are well-equipped and connected. This enables them to contribute effectively towards our AI research, corporate operations and product initiatives.

About the Role

As an Audiovisual (AV) Deployment Engineer at OpenAI you will play a pivotal role in implementing and ensuring the availability, reliability, and exceptional ease-of use of our conference room audio visual and video conferencing infrastructure. The ideal candidate will have expert-level experience in implementation of enterprise AV systems and moderate but demonstrable networking and general IT capabilities.

This is an onsite role and will require 5 days a week in our San Francisco office.

In this role, you will:

• Manage the deployment of OpenAI's standard audiovisual (AV) systems as part of global office construction projects

• Assist ITAV Engineering with ongoing improvements to conference room audio visual and video conferencing (AV/VC) design and build standards

• Oversee and deploy back-end systems related to ITAV and office builds (e.g., Google Calendar conference room resources, VC system administration, monitoring and alerting systems, digital signage)

• Collaborate with the Network Team to deploy and maintain AV networks

• Serve as a subject matter expert (SME) for AV system troubleshooting and upkeep

• Maintain lifecycle management for conference room AV/VC technology

• Establish and update global AV break/fix service plans

• Stay informed on the latest industry trends in AV/VC

• Travel up to 30% of the time-including international travel-to assist with office construction and system deployments

You might thrive in this role if you have:

• 8 years of experience in the design, installation, and troubleshooting of enterprise AV systems, including direct experience with Cisco, Logitech, and Neat video conferencing hardware

• Proven expertise with major video conferencing platforms (Zoom, Google Meet, Microsoft Teams)

• Experience working with AV integration vendors and managing the bid/build process

• Hands-on experience migrating VC software platforms

• Familiarity with enterprise networking technologies and architectures

• Experience with wayfinding and conference room booking hardware/software

• Knowledge of AV over IP (QLAN, Dante, NDI)

• Experience with the QSYS control ecosystem

• Exposure to audio visual build standards and best practices

• Familiarity with IT ticketing systems and maintaining support SLAs

• Basic scripting skills (bash, Lua, Python, JavaScript)

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or any other legally protected status.

OpenAI Affirmative Action and Equal Employment Opportunity Policy Statement

For US Based Candidates: Pursuant to the San Francisco Fair Chance Ordinance, we will consider qualified applicants with arrest and conviction records.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.

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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.

Compensation Range: $185K