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Simulation Ai Jobs (NOW HIRING)

Hammerhead AI

Simulation Engineer

Redwood City, CA · On-site

About Hammerhead We're unleashing AI with intelligent orchestration while addressing one of the ... These simulations are the critical training ground for our Orchestrated RL Control Agents (ORCA)

Hammerhead AI

Simulation Engineer

Redwood City, CA · On-site

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 ...

Eridu AI

Network Simulation Engineer

Saratoga, CA · On-site

Today's AI performance is frequently limited by communication bottlenecks. Eridu introduces ... Simulate communication patterns of distributed AI workloads (e.g., LLMs, DLRMs) across diverse ...

Positron AI

Modeling & Simulation Engineer

About Positron AI Positron AI specializes in developing custom hardware systems to accelerate AI ... Role Overview Build the simulation and modeling infrastructure that helps Positron AI develop ...

Accenture

Physical AI Delivery Manager

Seattle, WA · On-site

Accenture combines strategy, digital twins and simulation, robotics intelligence, orchestration ... The Physical AI Delivery and Solutioning Manager leads client workstreams and small-to-medium ...

Accenture

Physical AI Delivery Manager

Morristown, TN · On-site

Accenture combines strategy, digital twins and simulation, robotics intelligence, orchestration ... The Physical AI Delivery and Solutioning Manager leads client workstreams and small-to-medium ...

Accenture

Physical AI Delivery Manager

Minneapolis, MN · On-site

Accenture combines strategy, digital twins and simulation, robotics intelligence, orchestration ... The Physical AI Delivery and Solutioning Manager leads client workstreams and small-to-medium ...

Accenture

Physical AI Delivery Manager

Austin, TX · On-site

Accenture combines strategy, digital twins and simulation, robotics intelligence, orchestration ... The Physical AI Delivery and Solutioning Manager leads client workstreams and small-to-medium ...

Accenture

Physical AI Delivery Manager

Los Angeles, CA · On-site

Accenture combines strategy, digital twins and simulation, robotics intelligence, orchestration ... The Physical AI Delivery and Solutioning Manager leads client workstreams and small-to-medium ...

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Simulation Ai information

See salary details

$11K

$67.6K

$121.5K

How much do simulation ai jobs pay per year?

As of Sep 14, 2026, the average yearly pay for simulation ai in the United States is $67,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $79,500.00 per year, depending on experience, location, and employer.

What is a simulation AI?

A Simulation AI refers to artificial intelligence systems designed to model, predict, or emulate real-world or theoretical processes within a simulated environment. These AIs are widely used in fields such as engineering, gaming, urban planning, and autonomous vehicles to test scenarios, optimize outcomes, and reduce risks before real-world implementation. Simulation AI can help organizations save time and resources by allowing complex systems to be analyzed and improved in a virtual setting.

What are the key skills and qualifications needed to thrive as a simulation AI engineer, and why are they important?

To thrive as a Simulation AI Engineer, you need a solid background in computer science, mathematics, and AI principles, often with a degree in a related field. Familiarity with simulation software (such as MATLAB or Simulink), programming languages (like Python or C++), and AI frameworks is typically required. Strong problem-solving abilities, creativity, and effective teamwork are vital soft skills for innovating and collaborating on complex projects. These skills are crucial to developing accurate, efficient, and scalable simulations that drive research, development, and decision-making across industries.

What are some typical challenges faced by professionals working in simulation AI, and how are they usually addressed?

Professionals in Simulation AI often encounter challenges such as ensuring the accuracy and realism of simulations, managing large datasets, and integrating AI models with existing simulation platforms. These challenges are typically addressed by collaborating closely with domain experts, iterating on model development using real-world data, and utilizing robust testing frameworks to validate simulation outcomes. Additionally, continuous learning and staying updated with the latest advancements in AI and simulation technologies help professionals adapt and overcome these challenges effectively.

What is the difference between Simulation Ai vs Simulation Engineer?

AspectSimulation AiSimulation Engineer
Required CredentialsTypically requires knowledge of AI, machine learning, and programming skillsRequires engineering degrees, such as mechanical, electrical, or software engineering
Work EnvironmentOften involves data analysis, AI model development, and software programmingFocuses on designing, testing, and implementing simulation models in engineering contexts
Industry UsageUsed in AI-driven simulations, predictive analytics, and automationApplied in product design, testing, and system optimization

Simulation Ai focuses on developing AI-based simulation models using data science and machine learning, while Simulation Engineers design and implement traditional simulation models for engineering applications. Both roles require technical skills but differ in their core focus and tools used.

What other helpful pages are available for Simulation Ai?

Other pages related to Simulation Ai:

Infographic showing various Simulation Ai job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.

Simulation Engineer

Redwood City, CA • On-site

Hammerhead AI
See more jobs at Hammerhead AIexternal

Full-time

Medical, Dental, Vision, Retirement

Re-posted 11 hours ago

Key responsibilities

  • Build high-fidelity, physics-based digital twins of data center components and environments.

  • Integrate asset models into a scalable simulation platform and validate their accuracy against real-world data.

  • Create and maintain infrastructure and APIs to enable AI/ML training and evaluation within the simulation.

Job description

About Hammerhead

We're unleashing AI with intelligent orchestration while addressing one of the most pressing bottlenecks for AI access to Power. Our cutting-edge platform optimizes data center power infrastructure to maximize AI token generation within existing electrical limits, without requiring new power plants or grid expansions. Our team has optimized over 8 gigawatts of mission-critical power globally, and we're addressing a $64 billion-per-year market opportunity while dramatically reducing the environmental footprint of AI infrastructure.

At Hammerhead, you will:
⚡ Work at the intersection of AI, energy, and compute creating the next generation AI infrastructure
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
Receive competitive compensation, equity, and benefits in a high-growth, mission-driven environment.

Learn from an experienced team that has built and sold startups before

Learn more about Hammerhead

  • These AutoGrid alums want to change how data centers use power

  • How Hammerhead Wants to Rewrite the Economics of AI

  • News & Blogs

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

Join our team to shape the foundation of tomorrow’s AI infrastructure

Visit our Careers page at (hammerheadco dot ai / careers) to apply