Greenhouse ·
full-timeData Center Controls Engineer
Anthropic · Remote-Friendly (Travel Required) | San Francisco, CA
Anthropic is an artificial‑intelligence research and development company that aims to build reliable, interpretable and safe AI systems. The Data Center Controls Engineer role sits within its Data Center Infrastructure team and focuses on designing, implementing and optimizing control systems that keep Anthropic’s high‑density AI compute facilities running. Daily work includes creating multi‑site control architectures, defining network topology and redundancy for control nodes, and developing frameworks for protocols such as BACnet, Modbus TCP/IP, OPC‑UA, MQTT and SNMP. The engineer will design and program SCADA or BMS applications using platforms like Ignition or Niagara, select sensors and actuators for liquid‑cooling loops and power distribution, and build telemetry pipelines and dashboards for real‑time monitoring and predictive maintenance. The position also involves participating in new construction projects, producing technical documentation (P&IDs, control narratives, commissioning procedures) and ensuring security compliance for industrial control networks. The role suits candidates with an engineering degree or equivalent experience, strong background in industrial automation, data‑center or critical‑facility control systems, and familiarity with relevant communication protocols and network design.
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") r
| Role | Data Center Controls Engineer |
|---|---|
| Company | Anthropic |
| Location | Remote-Friendly (Travel Required) | San Francisco, CA |
| Compensation | Not disclosed |
| Posted | 2026-09-23 |
| Deadline | Rolling |
Typical process for this type of role
A general guide — the exact steps for this specific listing may vary; check the original posting for details.
- 1ApplicationSubmit your resume through the apply link.
- 2ScreeningRecruiter reviews your background against the role.
- 3AssessmentA technical test, assignment, or coding round, depending on the role.
- 4Interview(s)One or more rounds with the hiring team.
- 5OfferOffer letter with compensation and start date.
Before you apply
0/4Data Center Controls Engineer at Anthropic: frequently asked questions
- What is the salary for this role?
- Anthropic has not stated compensation in the listing. Check the original posting or ask during the application process.
- Is the Data Center Controls Engineer position remote, hybrid or onsite?
- The listing marks this role as remote, with Remote-Friendly (Travel Required) | San Francisco, CA as the location.
- What is the application deadline?
- Anthropic has not listed a fixed deadline, so apply early in case the opening is filled.
- How do I apply for the Data Center Controls Engineer role?
- Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.
More at Anthropic
Other jobs at Anthropic
- Staff + Software Security Engineer, Labs · San Francisco, CA | New York City, NY | Seattle, WA
- Data Center Engineer, Reliability & Infrastructure Management – Compute Supply · San Francisco, CA | New York City, NY
- Security Risk & Compliance, Agent Security · San Francisco, CA | New York City, NY
- Senior Manager, M&A Finance Integration · San Francisco, CA | Seattle, WA
- Manager, Applied AI Engineering (megas) · San Francisco, CA | New York City, NY; San Francisco, CA | Seattle, WA
Explore Related Placements
// similar opportunities
You might also like
Data Engineer
Samsara
Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operati...
Sr. Data Center Operations Engineer
Zscaler
Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange™️ plat...
Data Engineer
Alan
Health can’t wait . Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today....
Data Engineer
Getground
Data Engineer London (Waterloo) · Full-time · Hybrid, three days per week in the office Who we are At GetGround, our mission is to make property investment safe...
Data Engineer
Zetaglobal
Who are we? Zeta Global is seeking a talented and versatile Data Engineer to join our Data Exchange team within our highly skilled development office in Copenha...
Lead Data Engineer
Xdesign
Working at CreateFuture CreateFuture is an AI-native consulting partner where people do work that matters and are supported to do it well. We work alongside org...