Simulation Engineer

HammerheadAI, Inc.; Redwood City (CA); On-site; USD 130,000 - 210,000; Full time

Benefits offered by this job

Competitive salary & equity

401(k) plan

Health, dental, and vision coverage

Job summary

HammerheadAI, Inc. is building digital twins of data center environments to train advanced RL control agents, reporting to the CTO.

You will model thermal, electrical, and mechanical dynamics to accelerate safe deployment into mission‑critical facilities. Join a fast-growing startup with a hands‑on culture, competitive compensation, equity, and benefits, as you craft scalable simulations and high‑fidelity digital twins for AI optimization.

Qualifications

• Digital Twin Experience: 3+ years of professional experience in developing digital twins or high‑fidelity simulations for complex physical systems.
• 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.

Responsibilities

• Digital Twin Development: Architect and build high‑fidelity, physics‑based simulations of data center components.
• Simulation Platform Integration: Integrate asset models into a comprehensive, scalable simulation platform.
• Model Validation: Develop methodologies to validate simulation accuracy against real‑world data.
• AI Training Environments: Create and maintain infrastructure and APIs for RL agents to train and evaluate within the simulation.
• Performance Optimization: Ensure the platform is fast, scalable, and efficient for AI development.

Skills

Digital twins

Python

Go

C++

ML/AI exposure

Education

MS or PhD in engineering/CS/math/physics

Tools

Simulation frameworks/libraries

Job description

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.

Role Description

As an AI/ML Simulation Engineer, you will build the virtual world where our intelligence is born. You will be responsible for creating and scaling high‑fidelity digital twins of physical data center environments. These simulations are the critical 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. Your work will enable our RL Engineers to safely and rapidly develop control agents that can be deployed with confidence into live, mission‑critical facilities.

Key Responsibilities

• 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 our 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.

Qualifications

• Digital Twin Experience: 3+ years of professional experience in developing digital twins or high‑fidelity simulations for complex physical systems (e.g., in 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.

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