Data Center Controls Engineer

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

Anthropic is seeking an experienced Datacenter Controls Engineer to join our Datacenter Infrastructure team. In 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 Anthropic's 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

Bachelor's 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)

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:

$320,000 — $405,000 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.

For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act.

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-