AV Engineer, Platform & Automation

Anthropics 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.

As an AV Engineer focused on Platform & Automation youll build and own the software layer of Anthropics 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. Youll 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.

• 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 teams 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

• 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 arent developers
• Turn operational pain into well-scoped tooling and can say no to work that shouldnt be built
• Thrive in a fast-moving environment where standards are being written rather than inherited

• 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

• 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

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

Minimum education: Bachelors 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 arent 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 youre interested in this work. We think AI systems like the ones were 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 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 youre ever unsure about a communication dont click any linksvisit for confirmed position openings.

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. Were 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.

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 aboutour policy for using AI in our application process.