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Digital Twin Simulation Model Jobs in California

Hammerhead AI

Simulation Engineer

Redwood City, CA · On-site

$100 - $130/hr

Key Responsibilities * Digital Twin Development: Architect and build high‑fidelity ... Model Validation: Develop methodologies to validate simulation accuracy against real‑world ...

Epoch Biodesign

Simulation Engineer

Redwood City, CA · On-site

$100 - $130/hr

Key Responsibilities * Digital Twin Development: Architect and build high‑fidelity ... Model Validation: Develop methodologies to validate simulation accuracy against real‑world ...

Hammerhead AI

Simulation Engineer

Redwood City, CA · On-site

Digital Twin Development: Architect and build high-fidelity, physics-based simulations of data ... Model Validation: Develop methodologies to validate simulation accuracy against real-world ...

HammerheadAI

Simulation Engineer

Redwood City, CA · On-site

Digital Twin Development: Architect and build high-fidelity, physics-based simulations of data ... Model Validation: Develop methodologies to validate simulation accuracy against real-world ...

Cantos Ventures

Senior Nuclear Engineer

El Segundo, CA · On-site

$133.50 - $207.90/hr

... Digital Twin simulation software. You'll be responsible for assessing conservatism and verifying assumptions within the modeling methods and documenting all results. Because these methods are pivotal ...

Radiant Industries

Senior Nuclear Engineer

El Segundo, CA · On-site

$111K - $152K/yr

... Digital Twin simulation software. You'll be responsible for assessing conservatism and verifying assumptions within the modeling methods and documenting all results. Because these methods are pivotal ...

Radiant

Senior Nuclear Engineer

El Segundo, CA · On-site

$133K - $184K/yr

... Digital Twin simulation software. You'll be responsible for assessing conservatism and verifying assumptions within the modeling methods and documenting all results. Because these methods are pivotal ...

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All JobsDigital Twin Simulation Model JobsDigital Twin Simulation Model Jobs in California

Digital Twin Simulation Model information

See California salary details

$38.5K

$99.9K

$142.1K

How much do digital twin simulation model jobs pay per year?

As of Aug 26, 2026, the average yearly pay for digital twin simulation model in California is $99,929.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,500.00 and $127,800.00 per year, depending on experience, location, and employer.

What is a digital twin simulation model?

A Digital Twin Simulation Model is a virtual representation of a physical object, process, or system that is used to simulate, predict, and optimize its real-world counterpart. By using real-time data and advanced analytics, digital twins help organizations monitor performance, detect issues, and test scenarios without impacting actual operations. These models are widely used in industries such as manufacturing, healthcare, and smart cities to improve efficiency, reduce costs, and enable better decision-making.

What are common challenges faced when developing digital twin simulation models, and how can they be addressed?

One common challenge in developing digital twin simulation models is ensuring accurate data integration from various sources, which is crucial for creating realistic and actionable simulations. Team members often need to collaborate closely with engineers, IT specialists, and data analysts to validate and synchronize real-world and simulated data. Addressing these challenges requires strong communication skills, familiarity with integration tools, and a proactive approach to troubleshooting discrepancies. Additionally, keeping up with rapidly evolving technologies in simulation software and IoT devices is essential for maintaining effective and up-to-date models.

What are the key skills and qualifications needed to thrive as a digital twin simulation modeler, and why are they important?

To thrive as a Digital Twin Simulation Modeler, you need a solid background in engineering, computer science, or data science, along with experience in simulation modeling and systems analysis. Familiarity with tools like MATLAB, Simulink, Python, and specialized digital twin platforms (such as Siemens NX or PTC ThingWorx), plus relevant certifications, is often expected. Strong problem-solving abilities, communication, and collaboration skills help in translating real-world processes into accurate virtual models and working with cross-functional teams. These capabilities are crucial to create effective, scalable, and reliable digital twins that drive innovation and operational efficiency.

What is the difference between Digital Twin Simulation Model vs Data Analyst?

AspectDigital Twin Simulation ModelData Analyst
Required CredentialsEngineering, Computer Science, or related technical degrees; certifications in simulation or modelingStatistics, Data Science, or related degrees; certifications in data analysis tools
Work EnvironmentIndustrial, manufacturing, or engineering settings; using simulation softwareOffice or remote; analyzing datasets and creating reports
Industry UsageManufacturing, aerospace, energy, and infrastructureFinance, marketing, healthcare, and technology sectors
Search & Comparison IntentUnderstanding simulation modeling for system optimizationAnalyzing data trends and insights

The Digital Twin Simulation Model focuses on creating virtual replicas of physical systems for testing and optimization, often requiring engineering expertise. In contrast, Data Analysts interpret data to inform business decisions, typically using statistical tools. While both roles involve data and modeling, their applications and environments differ significantly.

What are popular job titles related to Digital Twin Simulation Model jobs in California?

For Digital Twin Simulation Model jobs in California, the most frequently searched job titles are:

What job categories do people searching Digital Twin Simulation Model jobs in California look for?

The top searched job categories for Digital Twin Simulation Model jobs in California are:

What cities in California are hiring for Digital Twin Simulation Model jobs?

Cities in California with the most Digital Twin Simulation Model job openings:

Digital Twin Simulation Model jobs near you
Infographic showing various Digital Twin Simulation Model job openings in California as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $99,929 per year, or $48 per hour.

Simulation Engineer

Redwood City, CA • On-site

Hammerhead AI
See more jobs at Hammerhead AIexternal

$100 - $130/hr

Other

Medical, Dental, Vision, Retirement

Re-posted 11 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 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.
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