Data Center Controls Engineer

About Anthropic

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.

About the Role

Anthropic is seeking an experienced Datacenter Controls Engineer to join our Infrastructure Engineering this role you will design implement and optimize control systems that support our global datacenter infrastructure enabling the reliable operation of AI at scale.

You will work on cutting-edge control systems managing critical datacenter operations including liquid cooling systems (CDUs/CDMs) HVAC electrical power monitoring systems and building automation systems. This position requires both technical depth in industrial automation and the ability to collaborate across disciplines to deliver integrated solutions for high-density AI compute infrastructure.

Responsibilities

System Architecture & Integration

• Design and implement multi-site controls architecture across Anthropics global datacenter facilities

• Define network topology redundancy and high-availability requirements for control nodes and servers

• Develop and maintain standardized frameworks for BACnet Modbus TCP/IP OPC-UA MQTT and SNMP communication layers

• Ensure integration between control systems and enterprise networks while maintaining security boundaries and compliance with cybersecurity frameworks for industrial control systems

Control System Design & Implementation

• Define design develop and implement control systems for datacenter mechanical electrical and building management systems with focus on AI compute environments

• Develop SCADA/BMS applications using platforms including Ignition Niagara/Tridium or similar HMI/supervisory systems

• Select and specify instrumentation including sensors transmitters actuators and control valves for liquid cooling loops power distribution and environmental monitoring

Data Collection & Visualization

• Architect and supervise deployment of centralized telemetry systems capable of storing high-resolution time-series data from power thermal and environmental sensors

• Develop intuitive dashboards and visualization layers using Ignition SCADA Grafana or comparable frameworks for facilities operations and engineering teams

• Leverage control systems to enable performance insights fault detection and predictive maintenance capabilities

Construction Integration & Documentation

• Participate in new design and construction projects to ensure controls and BMS standards are embedded from design through commissioning

• Define and review controls and instrumentation specifications in architectural and MEP packages

• Create comprehensive technical documentation including P&IDs control narratives sequence of operations and commissioning procedures

• Validate installed systems during commissioning for proper network configuration protocol compatibility and data visibility

Minimum Qualifications

• Bachelors degree in Engineering (Electrical Controls Mechanical Computer) or equivalent practical experience

• 7 years of experience in control systems design and implementation for industrial automation building automation or datacenter systems

• Deep familiarity with industrial communication protocols: BACnet Modbus TCP/IP OPC-UA MQTT SNMP Ethernet-IP

• Experience with instrumentation selection control panel design and control system integration

• Working knowledge of network architecture including subnets VLANs firewall rules and IP management

• Strong documentation skills and ability to work effectively in cross-functional teams

Preferred Qualifications

• 10 years in datacenter critical facilities or mission-critical infrastructure environments

• Experience with liquid cooling systems including CDUs CDMs and cooling tower control systems

• Background in high-density rack integration environments and AI/ML compute infrastructure

• Experience designing or deploying BMS/SCADA systems such as Ignition Niagara/Tridium Wonderware or similar

• Strong background in database integration (SQL Server InfluxDB PostgreSQL TimescaleDB) and data logging architecture

• Proficiency in Python or scripting for automation/configuration within SCADA/BMS frameworks

• Experience deploying multi-site redundant controls servers with high-availability requirements

• Professional Engineering (PE) license or vendor certifications (Schneider Rockwell Siemens)

• Knowledge of relevant codes and standards: ASHRAE NFPA IEEE ISA

• Familiarity with Grafana Node-RED Ignition Perspective or equivalent visualization tools

• Experience bridging cloud orchestration systems with facility-level power controls and load management (e.g. DCIM BMS EPMS)

Logistics

Education requirements: We require at least a Bachelors degree in a related field or equivalent experience.

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.

How were 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. 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.

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 aboutour policyfor using AI in our application process