Data Center Controls Engineer
Anthropic · Remote-Friendly (Travel Required) | San Francisco, CA · Remote-Friendly US (Travel Required)
CHECKED 2H AGO
Frontier labremotesenior
At a glance
Highlights
- Design control systems supporting global datacenter infrastructure for AI at scale.
- Build centralized telemetry enabling fault detection and predictive maintenance.
- Embed controls standards from design through commissioning on new builds.
What they offer
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
Ideal candidate
Experienced controls engineer excited by mission-critical infrastructure and high-density AI compute. Collaborative, detail-oriented builder who thrives integrating systems from design through commissioning.
Requirements
- 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
- 10+ years in datacenter, critical facilities, or mission-critical infrastructure environments
- Experience with liquid cooling systems including CDUs, CDMs, and cooling tower control systems
Lab profile
About Anthropic
AI safety company building reliable, interpretable and steerable frontier AI systems.
What they build
- Claude
- Claude API
- Claude Code
Known for
- AI safety and alignment
- Model interpretability research
- Frontier LLM development
Key facts
- Founded in 2021
- Headquartered in San Francisco, California
- Backed by Amazon and Google