Simulation Engineer

Simulation Engineer

Hammerhead

AI, Inc. is seeking a Simulation Engineer to develop virtual worlds where our AI excels.

We are unleashing AI with intelligent orchestration, addressing the biggest bottleneck for AI access to power. Our platform optimizes data‑center power infrastructure to maximize AI token generation within existing electrical limits—without new power plants or grid expansions. Over 8 gigawatts of mission‑critical power have already been optimized globally, tackling a $64 billion‑per‑year market while dramatically reducing the environmental footprint of AI infrastructure.

As an AI/ML Simulation Engineer, you will build the virtual world where our intelligence is born. You will create and scale high‑fidelity digital twins of physical data‑center environments to serve as the training ground for our Orchestrated RL Control Agents (ORCA). Reporting to the CTO, you will model the complex interplay of power, thermal dynamics, and computation, enabling RL engineers to safely and rapidly develop control agents for deployment in live, mission‑critical facilities.

• Digital Twin Development:
  Architect and build high‑fidelity, physics‑based simulations of data‑center components, including cooling systems, power distribution units, and server racks.
• Simulation Platform Integration:
  Integrate individual asset models into a comprehensive, scalable simulation platform that represents entire data‑center environments.
• Model Validation:
  Develop methodologies to validate simulation accuracy against real‑world operational data, ensuring digital twins faithfully represent physical reality.
• AI Training Environments:
  Create and maintain the infrastructure and APIs that allow Reinforcement Learning engineers to train and evaluate control agents at scale within the simulation.
• Performance Optimization:
  Ensure the simulation platform is fast, scalable, and efficient to accelerate the AI/ML development lifecycle.

• Digital Twin
  
  Experience:
  
  3+ years of professional experience in developing digital twins or high‑fidelity simulations for complex physical systems (e.g., energy, aerospace, manufacturing, or robotics).
• Strong Programming
  
  Skills:
  
  Proficiency in Python, Go and/or C++ and experience with simulation frameworks or libraries.
• Physics‑Based Modeling:
  Strong understanding of first‑principles modeling, with experience capturing the dynamics of physical systems (thermal, electrical, or mechanical).
• ML/AI Exposure:
  Familiarity with the lifecycle of machine‑learning models and experience creating environments for training and testing AI agents.
• Educational Background: MS or PhD in a relevant engineering discipline, Computer Science, Math or Physics.
• Problem Solver: A practical mindset, able to abstract complex physical interactions into computationally efficient models and troubleshoot discrepancies between simulation and reality.

• 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 with an experienced team.

Shape the foundation of tomorrow’s AI infrastructure. Visit our Careers page at hammerhead co.ai/careers to apply.