
Data Center Controls Engineer
Primary stack
Nice to have's
Job description
Data Center Controls Engineer
Remote-Friendly (Travel Required) | San Francisco, CA
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 Data Center Controls Engineer to join our Data Center Infrastructure team. In this role, you will design, implement, and optimize control systems that support our global data center infrastructure, enabling the reliable operation of AI at scale.
You will work on cutting-edge control systems managing critical data center 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 data center 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 data center 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 data center 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 data center, 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)
We Offer
- Competitive salary range: $320,000-$405,000 USD annually
- Hybrid work location policy
- Visa sponsorship available
About the Company
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.
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.
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Label Your Data provides secure and high quality data annotation services for Computer Vision or NLP applications since 2020. We help Data Scientists and AI Engineers streamline the dataset labeling and focus on model development.About Label Your Data:— Founded in 2020;— 200+ annotation experts in Europe, LATAM and Africa;— 98%+ annotation accuracy benchmark;— 55 supported languages;— PCI/DSS certified;— ISO/IEC 27001:2013 certified;— GDPR, CCPA and HIPAA-compliant;— HQs in North America, EU and Asia.Our experience spans over 20 industries including Automotive, Robotics, Agriculture, E-commerce, Retail, Healthcare, Manufacturing, Fintech and Insurance.Our core services include but are not limited to:— Image & video annotation: 2D boxes, OCR, object/action detection, polygons, key points, semantic segmentation, 3D cuboids;— Text annotation: classification, NER, intent & sentiment analysis, prompts creation, Q&A pairs generation;— Audio annotation: transcription, sentiment recognition;— Sensor data annotation;— Data classification & categorization;— Data entry;— Data collection;— Model validation.
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