About Hammerhead

We're unleashing AI with intelligent orchestration while addressing one of the most pressing bottlenecks for AI access to Power. Our cutting-edge platform optimizes data center power infrastructure to maximize AI token generation within existing electrical limits, without requiring new power plants or grid expansions. Our team has optimized over 8 gigawatts of mission-critical power globally, and we're addressing a $64 billion-per-year market opportunity while dramatically reducing the environmental footprint of AI infrastructure.

At Hammerhead, you will:
⚡ Work at the intersection of AI, energy, and compute creating the next generation AI infrastructure
🤝 Collaborate with colleagues that are experts in modern RL and AI, IoT and IIoT software, and infrastructure technologies
🌎 Contribute to building a more efficient and sustainable future for AI compute.
🚀 Join a company at the cutting edge of modern data center design and operation
💰 Receive competitive compensation, equity, and benefits in a high-growth, mission-driven environment.

🚀Learn from an experienced team that has built and sold startups before

Learn more about Hammerhead

• These AutoGrid alums want to change how data centers use power

• How Hammerhead Wants to Rewrite the Economics of AI

• News & Blogs

Role Description

As an Industrial IoT Integration Engineer, you will build the critical bridges between our intelligent orchestration platform and the physical world. You will design, develop, and maintain the library of drivers and connectors that allow Hammerhead ORCA to communicate with a diverse array of data center assets—from utility meters and cooling systems to GPU clusters and building management systems (BMS). Reporting to the Head of Engineering, you will ensure our system can reliably ingest high-frequency telemetry and execute precise control actions across multi-vendor hardware environments, effectively translating RL decisions into physical reality.

Key Responsibilities

• Connector Development: Architect and build high-performance, bi-directional connectors leveraging protocols such as MQTT, SNMP, IPMI, and Redfish, as well as RESTful APIs, to interface with power, cooling, and compute infrastructure.