AV Engineer

Posted 26 Days Ago
Be an Early Applicant
2 Locations
In-Office
285K-325K Annually
Senior level
Artificial Intelligence • Natural Language Processing • Generative AI
The Role
Design, program, commission, and deploy enterprise AV systems for new offices and retrofits. Create AV designs and documentation, manage integrators and vendors, partner with IT/security, support global operations, and innovate automated and broadcast-capable collaboration solutions.
Summary Generated by Built In
About Anthropic

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

About the role

As an AV Engineer based in our NYC or SF office, you'll design and implement the systems that enable world-class collaboration and communication across offices. This role is critical as we rapidly expand our physical footprint, with plans for multiple new offices and expansions over the coming years.

You'll be responsible for architecting AV solutions from concept through commissioning, ensuring our conference rooms, event spaces, and collaboration areas provide frictionless experiences that enable our teams to advance AI safety research. You'll help establish standards and systems that scale efficiently while pushing the boundaries of what's possible in workplace collaboration technology.

This is an opportunity to shape how a cutting-edge AI research organization communicates and collaborates, building infrastructure that supports everything from small team meetings to company-wide all-hands broadcasts reaching thousands of remote participants.

Responsibilities
  • Lead AV design, procurement, and programming for new office builds, expansions, and retrofits across our global portfolio
  • Create and maintain AV system designs including schematic drawings, line diagrams, and elevation plans
  • Program and commission AV systems to meet specific use cases and user requirements
  • Execute successful "first day of business" deployments for new offices, ensuring all systems are operational for day-one occupancy
  • Attend build coordination meetings with architects, contractors, and workplace teams to drive AV requirements and integration
  • Innovate and test emerging AV technologies to optimize productivity and enable premium experiences for existing and upcoming spaces
  • Develop automated solutions to improve system reliability and reduce operational overhead
  • Partner with Security and IT teams to ensure AV systems meet enterprise security requirements
  • Create comprehensive documentation for all systems including programming logic, troubleshooting guides, and operational procedures
  • Oversee operations globally to ensure seamless AV operations and service delivery standards are consistently met 
  • Manage relationships with AV integrators and vendors to ensure project success
  • Assist with AV operations support including event production and system maintenance as needed
You may be a good fit if you
  • Have 8+ years of experience designing and implementing AV systems in an enterprise environment
  • Are proficient in control system programming utilizing the Q-Sys ecosystem or similar
  • Have hands-on experience with video conferencing platforms, particularly Google Meet
  • Can read and create AV technical drawings including schematics, line diagrams, and rack elevations
  • Understand digital signal processing (DSP) concepts for audio, including acoustic echo cancellation, noise reduction, EQ/dynamics, and automixing
  • Are familiar with enterprise video distribution, streaming technologies, and broadcast standards
  • Can manage multiple projects simultaneously while meeting aggressive timelines
  • Collaborate effectively with non-technical stakeholders to translate requirements into technical solutions
  • Have excellent troubleshooting skills and are comfortable diving into complex integrated systems
  • Care about creating exceptional user experiences through technology
  • Are excited about the opportunity to build scalable AV infrastructure from the ground up
Strong candidates may also have
  • Experience with Logitech video conferencing ecosystem and management platforms
  • Certifications such as Q-Sys Level 2, CTS, or CTS-D
  • Familiarity building control scripts using Lua within Q-Sys
  • Background in broadcast production or live event engineering
  • Experience with Netgear network switches running AV over IP systems (QLAN, Dante, SMPTE 2110)
  • Familiarity with digital signage platforms (Appspace or similar)
  • Understanding of acoustical design principles for conference spaces
  • Track record of successful large-scale office technology deployments
  • Previous experience performing AV installations
  • Background working in high-growth technology companies
  • Experience with Google Workspace administration
Role Specific Location Policy:
  • This role will be based in our San Francisco or NYC offices
  • This role is expected to be in office 75% of the time
  • This role will require up to 8 weeks of domestic and international travel to help with new office build outs

Deadline to apply: None. Applications will be received on a rolling basis.

The annual compensation range for this role is listed below. 

For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role.

Annual Salary:
$285,000$325,000 USD
Logistics

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience

Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position

Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.

Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team.
Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings.

How we're different

We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills.

The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences.

Come work with us!

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Skills Required

  • 8+ years of experience designing and implementing AV systems in an enterprise environment
  • Bachelor's degree or equivalent combination of education, training, and/or experience
  • Proficient in control system programming utilizing the Q-Sys ecosystem or similar
  • Hands-on experience with video conferencing platforms, particularly Google Meet
  • Ability to read and create AV technical drawings including schematics, line diagrams, and rack elevations
  • Understanding of digital signal processing (DSP) concepts for audio (AEC, noise reduction, EQ/dynamics, automixing)
  • Familiarity with enterprise video distribution, streaming technologies, and broadcast standards
  • Ability to manage multiple projects simultaneously and meet aggressive timelines
  • Strong troubleshooting skills for complex integrated AV systems
  • Experience collaborating with non-technical stakeholders to translate requirements into technical solutions
  • Willingness and ability to travel up to 8 weeks (domestic and international) for office build outs
  • Care about creating exceptional user experiences through technology
  • Experience with Logitech video conferencing ecosystem and management platforms
  • Certifications such as Q-Sys Level 2, CTS, or CTS-D
  • Familiarity building control scripts using Lua within Q-Sys
  • Background in broadcast production or live event engineering
  • Experience with Netgear network switches running AV over IP systems
  • Familiarity with digital signage platforms (Appspace or similar)
  • Understanding of acoustical design principles for conference spaces
  • Track record of successful large-scale office technology deployments and AV installations
  • Experience with Google Workspace administration

Anthropic Compensation & Benefits Highlights

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

  • Healthcare Strength Health coverage for employees and dependents is described as comprehensive across medical, dental, and vision, alongside robust mental-health resources. Feedback suggests this breadth, paired with life and income protection, is a standout element of the package.
  • Parental & Family Support Family-building support includes inclusive fertility benefits and an extended paid parental leave policy. Feedback suggests these programs are positioned as company‑wide and accessible rather than one‑off perks.
  • Wellbeing & Lifestyle Benefits Everyday support spans wellness/time‑saver stipends, education and home‑office stipends, commuter benefits, daily meals/snacks, and relocation assistance. Feedback suggests these perks meaningfully supplement core pay and healthcare.

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The Company
HQ: San Francisco, California
2,500 Employees

What We Do

Anthropic is an AI safety and research company that’s working to build reliable, interpretable, and steerable AI systems. Our research interests span multiple areas including natural language, human feedback, scaling laws, reinforcement learning, code generation, and interpretability.

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