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 the Head of Reinforcement Learning & AI, you will lead the scientific and engineering vision for the "brain" of Hammerhead—ORCA (Orchestrated RL Control Agents). Reporting directly to the CTO, you will build and manage a world-class team of researchers and engineers to develop the autonomous agents that control gigawatt-scale critical infrastructure in real-time. Your mandate is to maximize token generation from fixed power assets by solving complex multi-objective optimization problems that balance thermal limits, power availability, and computational throughput.

This is a high-stakes leadership role where your algorithms will directly dictate the physical operation of multi-million dollar data centers.

Key Responsibilities

• Strategic AI Leadership: Define the roadmap for Hammerhead's AI capabilities, moving from single-asset optimization to full-facility autonomous orchestration that coordinates cooling, power, and compute agents.
• Team Building & Management: Recruit, mentor, and lead a high-performing team of RL scientists, simulation engineers, and ML infrastructure experts, fostering a culture of rigor and rapid experimentation.
• Core Algorithm Development: Oversee the R&D of advanced RL architectures (e.g., Multi-Agent RL, Offline RL, Model-Based RL) capable of safe, sample-efficient learning in environments where failure is not an option.
• Simulation-to-Reality Gap: Champion the development of high-fidelity digital twins and "Sim2Real" transfer methodologies to ensure agents trained in simulation perform safely and effectively on physical hardware.
• Executive Collaboration: Partner with the executive team to translate business goals (e.g., 30% capacity unlock) into technical metrics and deliverables, while communicating AI strategy to investors and key enterprise customers.

Qualifications

• Technical Authority: PhD or equivalent research experience in Computer Science, Control Theory, or Robotics, with a strong publication record in top-tier venues (NeurIPS, ICML, ICLR) focusing on Reinforcement Learning.
• Leadership Experience: 7+ years of industry experience, with at least 3 years managing AI/ML teams tackling real-world problems—preferably in robotics, autonomous systems, industrial control, or energy.
• Industrial RL Focus: Proven track record of deploying RL or advanced control systems (MPC) into production environments; you understand safety constraints, reward shaping for physical systems, and the challenges of non-stationary environments.
• Architectural Vision: Ability to design end-to-end ML systems, from data ingestion (telemetry from SCADA/IoT) to training infrastructure and edge deployment.
• Mission Alignment: Passionate about solving the global energy bottleneck for AI; you are driven to use your skills to decarbonize compute and build the sustainable infrastructure of the future

What we offer

• Competitive salary, bonus, 401(k) plan and equity in a rapidly growing startup
• Comprehensive health, dental, and vision coverage
• Opportunity to apply the latest AI technologies working with an experienced team

Join our team to shape the foundation of tomorrow’s AI infrastructure