Data Center Controls Engineer

Anthropic • $320K — $405K *
Enterprise Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Engineering or equivalent experience
  • 7+ years in control systems design for industrial automation
  • Familiarity with BACnet, Modbus TCP/IP, OPC-UA, MQTT, SNMP, and Ethernet-IP
  • Experience with control panel design and integration
  • Working knowledge of network architecture (subnets, VLANs)

Responsibilities

  • Design and implement controls architecture for global datacenter facilities
  • Define network topology and high-availability requirements
  • Develop frameworks for communication layers like BACnet and Modbus
  • Implement control systems for mechanical, electrical, and building management
  • Architect centralized telemetry systems for data collection
  • Create dashboards and visualization tools for reporting
  • Participate in design projects to embed controls standards

Benefits

  • Visa sponsorship available
  • Hybrid work policy with in-office expectations
  • Focus on diverse representation in recruitment
  • Strong emphasis on safety and anti-scam measures
  • Supportive of underrepresented candidates applying
Full Job Description
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. 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 [redacted].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.

About Anthropic

Anthropic is an artificial intelligence research lab that focuses on developing AI systems that are safe, reliable, and trustworthy. The company was founded in 2019 by Dr. Yoshua Bengio, a leading AI researcher and winner of the Turing Award. Anthropic's research is focused on developing AI systems that can learn from small amounts of data, reason about complex systems, and interact with humans in a natural way. The company is based in New York City and has a team of experienced AI researchers and engineers.
Learn more about Anthropic
Size
50 employees
Industry
Founded
2019

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