AV Engineer, Platform & Automation

Anthropic; New York (NY); Hybrid; USD 285,000 - 325,000; Full time

Benefits offered by this job

Equity donation matching

Flexible working hours

Generous vacation

Parental leave

Office in SF/NYC

Job summary

Anthropic Limited seeks an AV Engineer focused on Platform & Automation to own the software layer of collaboration systems across offices in the United States. You will build tools, integrations, and engineering practices that let AV teams support a growing global portfolio.

You’ll write, ship, and operate code for fleet health monitoring, automated room testing, and IT integrations while setting standards for version control, reviews, tests, and releases across DSPs, firmware, and internal

Qualifications

• 10+ years of experience across AV, collaboration, or IT systems engineering with production code under ownership.
• Fluent in at least one general-purpose language (Python, Lua, Go, or TypeScript) and shell scripting.
• Experience with Git-based workflows, code review, automated testing, CI/CD, logging, and observability.
• Understand AV and collaboration systems: DSP/control, conferencing platforms, room devices, AV‑over‑IP.

Responsibilities

• Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office
• Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically
• Build integrations across device and platform APIs — Q-SYS (including plugins and Lua scripts), Logitech Sync, Google Meet hardware; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace
• Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain
• Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans
• Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team‑owned repositories and service identities
• Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land
• Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non‑developers
• Partner with Security, IT Engineering, and Network on least‑privilege API access, secrets management, and integration with enterprise standards
• Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap

Skills

AV/IT systems engineering

Python

Lua

Go

TypeScript

Shell scripting

Git/CI-CD

Education

Bachelor’s degree or equivalent

Tools

Q-SYS

Logitech Sync

Google Meet hardware

Jira

Slack

PagerDuty

Google Workspace

Terraform

Prometheus

Grafana

Job description

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 focused on Platform & Automation, you'll build and own the software layer of Anthropic's collaboration systems — the tools, integrations, and engineering practices that let a small AV team support a fast-growing global office portfolio. Our rooms, event spaces, and broadcast systems are increasingly managed through APIs and code: device management platforms, DSP and control systems, conferencing administration, ticketing, and paging. Your job is to turn that surface into reliable, team-owned tooling, and to bring software engineering discipline to how we build and maintain it.

You can expect a lot of your time writing, shipping, and operating code — fleet health monitoring, automated room testing and ticketing, integrations between our AV platforms and IT systems, and the internal tools that AV Engineering, AV Operations, and Events rely on every day. You'll also help own the administration of the software platforms we already run, and set the standards for how the team version‑controls, reviews, tests, releases, and maintains everything from DSP designs to firmware to internal services.

Responsibilities

• Design, build, and ship internal tools and integrations that monitor, test, and manage AV and collaboration systems across every office
• Develop fleet health monitoring and automated room testing that catch failures before users report them and open actionable tickets automatically
• Build integrations across device and platform APIs — Q-SYS (including plugins and Lua control scripts), Logitech Sync, Google Meet hardware, digital signage; and IT systems such as Jira, Slack, PagerDuty, and Google Workspace
• Automate repetitive operational work: provisioning, configuration baselines, drift detection, certificate renewal, and asset data — with code others can read, test, and maintain
• Own administration and lifecycle of the software platforms behind the AV estate, including firmware and software release management with staged rollouts and rollback plans
• Operate internal tools as production services, with monitoring, alerting, service metrics, and runbooks, on team‑owned repositories and service identities so nothing depends on one person
• Establish the team's engineering practices: source control, code review, testing, CI/CD, and release — and bring AV configuration under version control, with standards set for integrator deliverables and acceptance verified before changes land
• Enable AV Engineers, Operations Specialists, and Production staff to contribute safely through templates, guardrails, and review paths built for non‑developers
• Partner with Security, IT Engineering, and Network on least‑privilege API access, secrets management, and integration with enterprise standards
• Gather requirements from AV Operations, Events, and AV Engineering, prioritize the tooling roadmap by operational impact, and decide where to build, buy, or push a vendor to close a gap

You May Be a Good Fit If You

• Have 10+ years of experience across AV, collaboration, or IT systems engineering, including 4+ years writing, shipping, and maintaining production code that other people depend on
• Are fluent in at least one general‑purpose language: Python, Lua, Go, TypeScript, or similar — and comfortable with shell scripting
• Practice engineering fundamentals by default: Git‑based workflows, code review, automated testing, CI/CD, logging, and observability
• Understand how AV and collaboration systems work: DSP and control, conferencing platforms, room devices, signal flow, AV‑over‑IP — well enough to build reliable tools on top of them
• Have built integrations against REST APIs, webhooks, and vendor SDKs, and know how to handle auth, rate limits, pagination, retries, and partial failure
• Have owned a tool or service in production over time, not just written it, including fixing it when it broke and handing it off cleanly
• Have defined engineering practices for a team, especially one where most contributors aren't developers
• Turn operational pain into well‑scoped tooling, and can say no to work that shouldn't be built
• Thrive in a fast‑moving environment where standards are being written rather than inherited

Strong Candidates May Also Have Experience With

• Q‑SYS Lua scripting and plugin development
• Logitech Sync and CollabOS, and Google Meet hardware administration through the Google Admin console and Admin SDK
• Google Workspace APIs, GCP (Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager), and Terraform or other infrastructure‑as‑code
• Jira, Slack, and PagerDuty APIs and automation
• Crestron, Extron, or other control system programming
• Dante, AES67, NDI, and network fundamentals for AV‑over‑IP, including multicast, VLANs, and QoS
• Building with LLMs — agentic automation, LLM‑assisted internal tools, or MCP integrations
• Monitoring and alerting stacks such as Prometheus and Grafana, and containerized deployment
• Q‑SYS Level 2, CTS, or equivalent demonstrated capability

Role Specific Location Policy

• This role will be based in our San Francisco or New York City office
• This role is expected to be in office 50% of the time
• Up to 4 weeks of domestic and international travel annually for platform rollouts, new‑office readiness, and on‑site testing
• Business‑hours escalation coverage for the tools and platforms this role owns

Annual Salary

$285,000—$325,000 USD

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.

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.

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.