Simulation Engineer

Hammerhead AI; Redwood City (CA); On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Bonus

401(k) plan

Equity

Comprehensive health, dental, and vision coverage

Job summary

Hammerhead AI in Redwood City is looking for an AI/ML Simulation Engineer to build and scale high-fidelity digital twins of data center environments. You will create simulations that serve as training grounds for RL Engineers. This role requires 3+ years of experience in developing simulations, strong programming skills, and an MS or PhD in a relevant field.

The position offers competitive salary, health benefits, and the chance to work with advanced AI technologies as part of an experienced team.

Qualifications

• 3+ years of professional experience in developing digital twins or high-fidelity simulations.
• Experience with simulation frameworks or libraries.
• Strong understanding of first-principles modeling.

Responsibilities

• Architect and build high-fidelity, physics-based simulations of data center components.
• Integrate individual asset models into a comprehensive simulation platform.
• Develop methodologies to validate simulation accuracy against real-world data.
• Create and maintain infrastructure for training AI agents at scale.
• Ensure the simulation platform is fast, scalable, and efficient.

Skills

Digital Twin Development

Programming in Python, Go or C++

Physics-Based Modeling

Machine Learning Exposure

Problem Solving

Education

MS or PhD in Engineering, Computer Science, Math or Physics

Job description

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.