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Energy Simulation Engineer Jobs (NOW HIRING)

... in energy, aerospace, manufacturing, or robotics). * Strong Programming Skills: Proficiency in ... simulation frameworks or libraries. * Physics-Based Modeling: Strong understanding of first ...

Work at the intersection of AI, energy, and compute creating the next generation AI infrastructure ... News & Blogs Role Description As an AI/ML Simulation Engineer, you will build the virtual world ...

... in energy, aerospace, manufacturing, or robotics). * Strong Programming Skills: Proficiency in ... simulation frameworks or libraries. * Physicsโ€‘Based Modeling: Strong understanding of ...

At Hammerhead, you will: โšก Work at the intersection of AI, energy, and compute creating the next ... News & Blogs Role Description As an AI/ML Simulation Engineer, you will build the virtual world ...

Modeling Simulation Engineer Who We Are: TechSource, a Salas O'Brien company and a previous DOE ... The immediate assignment supports shielding optimization for a high-energy X-ray inspection ...

Simulation Engineer

Minneapolis, MN ยท Remote

$75K - $90K/yr

... defense, automotive, energy, hi-tech, healthcare, medical devices, rail and semiconductor ... We are looking for humble geniuses, who believe that engineering has the potential to make the ...

POSITION SUMMARY Since Axiom Space is a very complex work environment, we are looking for a resilient, high-energy, experienced Modeling and Simulation Engineer to support the EVA SE&I team. The EVA ...

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Energy Simulation Engineer information

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$39K

$123.4K

$190.5K

How much do energy simulation engineer jobs pay per year?

As of Sep 10, 2026, the average yearly pay for energy simulation engineer in the United States is $123,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,000.00 and $146,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Energy Simulation Engineer jobs?

For Energy Simulation Engineer jobs, the most frequently searched job titles are:

Simulation Engineer

Redwood City, CA โ€ข On-site

Other

Medical, Dental, Vision, Retirement

Re-posted 26 days ago


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 highโ€‘fidelity, physicsโ€‘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 realโ€‘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 highโ€‘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.
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