Hammerhead AI
Simulation Engineer
Redwood City
Sponsorship not specifiedDetected 61 days ago
PythonGoC++Machine LearningRobotics
About the role
- 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.
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.
- Model Validation: Develop methodologies to validate simulation accuracy against real-world operational data, ensuring our digital twins faithfully represent physical reality.
- Architect and build high-fidelity, physics-based simulations of data center components, including cooling systems, power distribution units, and server racks.
- Develop methodologies to validate simulation accuracy against real-world operational data, ensuring our digital twins faithfully represent physical reality.
- As an AI/ML Simulation Engineer, you will build the virtual world where our intelligence is born.
- 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.
- 🤝 Collaborate with colleagues that are experts in modern RL and AI, IoT and IIoT software, and infrastructure technologies
- 🌎 Contribute to building a more efficient and sustainable future for AI compute.
- 🚀 Join a company at the cutting edge of modern data center design and operation
Requirements
- 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).
- 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).
- ML/AI Exposure: Familiarity with the lifecycle of machine learning models and experience creating environments for training and testing AI agents.
- Problem Solver: A practical mindset, able to abstract complex physical interactions into computationally efficient models and troubleshoot discrepancies between simulation and reality.
Skills
- Proficiency in Python, Go and/or C++ and experience with simulation frameworks or libraries.
- Educational Background: MS or PhD in a relevant engineering discipline, Computer Science, Math or Physics.
- 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
- Visit our Careers page at (hammerheadco dot ai / careers) to apply
Compensation
- 💰 Receive competitive compensation, equity, and benefits in a high-growth, mission-driven environment.
Benefits
- 💰 Receive competitive compensation, equity, and benefits in a high-growth, mission-driven environment.
- 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.
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This listing is sourced directly from Hammerhead AI's careers page and normalized into a canonical job model.