Hammerhead is addressing one of the most pressing bottlenecks for AI access to Power by optimizing data center power infrastructure to maximize AI token generation within existing electrical limits, without requiring new power plants or grid expansions.
Requirements
- RL Expertise: Proven experience developing and implementing reinforcement learning algorithms, demonstrated through publications in top conferences (e.g., NeurIPS, ICML, ICLR), open-source contributions, or shipped products.
- Industry Experience: 3+ years of experience applying RL to real-world problems, preferably in industrial automation, robotics, autonomous vehicles, energy systems, or other physical systems. Experience from a leading industrial or academic RL lab is highly desirable.
- Technical Skills: Deep proficiency in Python and modern ML frameworks such as PyTorch, Jax, or TensorFlow.
- Experience with simulation platforms and RL libraries (e.g., Ray RLlib, Isaac Gym) is a plus.
- Educational Background: MS or PhD in Computer Science, Robotics, Operations Research, or a related field with a focus on machine learning or control theory.
Responsibilities
- RL Model Development: Design and implement advanced reinforcement learning algorithms (e.g., multi-agent RL, model-based RL, deep RL) for real-time control of data center infrastructure.
- Simulation and Training: Build and train RL agents that can generalize to real-world, physical systems.
- From Lab to Production: Lead the transition of RL models from research and simulation to live deployment within the ORCA platform, ensuring stability and performance on mission-critical hardware.
- System Optimization: Analyze agent performance to continuously improve control strategies for tasks like peak shaving, workload shifting, and thermal management.
- Cross-Functional Collaboration: Partner with platform engineers to define the APIs, data telemetry, and infrastructure needed to support and scale our RL agents across a global portfolio of data centers.
Other
- 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
