52 минуты назад
Controls Network Engineer (AI)
162 000 - 240 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Controls Network Engineer (AI): Designing and operating robust OT/ICS network architectures for large-scale AI compute data centers with an accent on BMS, EPMS, and SCADA integration. Focus on building segmented, high-availability control planes and ensuring safe, low-latency telemetry paths for civilization-scale infrastructure.
Location: Must be based in the U.S. (New York, Austin, San Francisco, Seattle, or Remote U.S.)
Salary: $162,000 – $240,000
Company
is building civilization-scale compute infrastructure to accelerate AI development and ensure it aligns with human freedom.
What you will do
- Own the controls network layer for BMS, EPMS, and SCADA across all data center sites.
- Build telemetry and command paths for the Ignition SCADA platform to ensure sub-second response times.
- Engineer failure modes to ensure equipment islands gracefully during communication loss.
- Integrate with landlord and partner OT domains through secure, firewalled boundaries.
- Enforce OT security posture through strict network segmentation and monitoring.
- Embed controls network requirements into site design from the initial planning phase.
Requirements
- Must have U.S. work authorization.
- Proven experience designing and operating OT/ICS networks in production facilities.
- Deep knowledge of BACnet/IP, Modbus TCP, and OPC UA protocols.
- Expertise in IT/OT network layers including routing, multicast, QoS, and PTP/NTP.
- Ability to translate complex control sequences into network architecture (VLANs, routes, firewall rules).
- Ability to travel up to 25% of the time to data centers and construction sites.
Nice to have
- IEC 62443 or IEC 61850 certification/depth.
- Experience with Ignition SCADA platform.
- Familiarity with data center MEP systems and electrical metering.
Culture & Benefits
- Full-time role with competitive base salary and equity.
- Opportunity to work on high-intensity, frontier AI infrastructure problems.
- Culture of extreme ownership, velocity, and first-principles thinking.
- Comprehensive benefits package included.
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