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Harbor Compute

Designs and operates AI compute infrastructure

Lead Data Center Controls Engineer

Controls & Automation EngineeringUpdated on Nov 11
Full-timeRemote in USA

About the Job

Requirements

  • Bachelor's degree in electrical, mechanical, controls, or computer engineering.
  • 10+ years of controls engineering experience, including 5+ years in mission-critical or data center environments on multi-MW hyperscale, colocation, or large enterprise projects.
  • Hands-on experience designing, programming, and commissioning BMS, EPMS, and PLC/SCADA systems on major platforms such as Siemens, Schneider Electric, Rockwell, Johnson Controls, or Honeywell.
  • Deep knowledge of control of data center mechanical and electrical systems, including chilled water, air handling, UPS, switchgear, and generators, and of OT networking and protocols including BACnet, Modbus, SNMP, TCP/IP, and VLANs.
  • A track record of writing sequences of operation, points lists, and commissioning scripts, and resolving controls issues in live facilities.
  • Experience managing consultants, integrators, and vendors, and explaining trade-offs clearly to executives.

Responsibilities

  • Lead controls design for new campuses and expansions, including BMS, EPMS, PLC/SCADA, and branch circuit monitoring.
  • Own the portfolio controls basis of design, standards, points lists, naming conventions, and reference architectures.
  • Write and review sequences of operation for chilled water plants, air handling, economizers, and liquid cooling (CDUs and facility water loops) for high-density AI/GPU deployments.
  • Define controls redundancy, network architecture and protocols (BACnet, Modbus TCP, SNMP, OPC UA), and OT cybersecurity requirements aligned with IEC 62443.
  • Direct engineers of record, controls integrators, and vendors from drawings and submittals through PLC/DDC code and graphics, and lead platform selection and factory acceptance testing.
  • Lead the controls scope of construction and integrated commissioning (L1–L5), including point-to-point verification, sequence validation, and failover testing.
  • Serve as the controls technical authority as campuses come online, lead root cause analysis, use trend data to improve PUE and WUE, and mentor junior engineers.

Desired Qualifications

  • Professional Engineer (PE) license.
  • Experience with liquid cooling controls (CDUs and direct-to-chip) or DCIM platforms.
  • Familiarity with OT cybersecurity standards (IEC 62443 and NIST SP 800-82) and SCADA platforms such as Ignition.
  • Background in both design consulting or systems integration and owner/operator roles.

About the Company

Harbor Compute

Designs and operates AI compute infrastructure

Harbor Compute designs and runs physical AI infrastructure in three tiers: Core Harbor for large-scale distributed training, Middle Harbor for regional GPU capacity, and HarborOne for inference at qualified sites. It provides GPU compute, private networking, a CDN, and AI delivery networks within purpose-built data centers, using high-density power, advanced cooling, and interconnects like NVLink, NVSwitch, and InfiniBand. The leadership team combines deep experience from OpenAI’s infrastructure program with veterans from Apple, Meta, Microsoft, Amazon, and Tesla, backed by investors such as a16z Speedrun and NVIDIA Inception. Its goal is to deliver reliable, scalable, and responsible AI infrastructure that supports massive training, low-latency regional inference, and seamless model hosting and workflows for enterprises and labs.

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