Simulation Engineer

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

Benefits offered by this job

401(k) plan

Equity in a rapidly growing startup

Comprehensive health, dental, and vision coverage

Job summary

Epoch Biodesign in Redwood City seeks an AI/ML Simulation Engineer to create high-fidelity digital twins for data center environments. This role focuses on architecting simulations that enable the training of Reinforcement Learning agents, ensuring models accurately reflect physical realities.

Candidates should have 3+ years developing digital twins, solid programming skills in Python or C++, and a strong background in physics-based modeling. The position offers competitive salary, bonus, 401(k), and comprehensive health coverage.

Qualifications

• 3+ years of experience in developing digital twins or high-fidelity simulations.
• Proficiency in Python, Go, and/or C++.
• Strong understanding of first-principles modeling.
• Familiarity with ML lifecycle and AI training environments.

Responsibilities

• Architect and build high-fidelity simulations of data center components.
• Integrate asset models into a scalable simulation platform.
• Develop methodologies to validate simulation accuracy.
• Create infrastructure and APIs for training AI agents.
• Optimize the simulation platform for speed and efficiency.

Skills

Digital Twin Experience

Programming Skills in Python, Go, or C++

Physics-Based Modeling

ML/AI Exposure

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