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Physics Ai Simulation Jobs (NOW HIRING)

Alignerr

Applied Physics

Manhattan, NY · Remote

Audit AI Reasoning -- evaluate AI‐generated simulations, proofs, and explanations for physical consistency; identify where models "hallucinate" physics that violates conservation laws, boundary ...

Luminary Cloud

QE Architect

San Mateo, CA · On-site

Physics AI is the next frontier of engineering intelligence, and we're building the platform that makes it real. That means working with cutting-edge ML architectures, petabyte-scale simulation ...

Hammerhead AI

Simulation Engineer

Redwood City, CA · On-site

About Hammerhead We're unleashing AI with intelligent orchestration while addressing one of the ... Architect and build high-fidelity, physics-based simulations of data center components, including ...

Luminary Cloud

Geometry/Meshing Engineer

San Mateo, CA · On-site

Develop and productize novel computational geometry handling and meshing approaches for physics simulation (e.g., CFD, structural analysis, thermal simulation) and Physics AI workflows with a focus ...

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Physics Ai Simulation information

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$11K

$67.6K

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How much do physics ai simulation jobs pay per year?

As of Jun 6, 2026, the average yearly pay for physics ai simulation 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.

How do professionals in Physics AI Simulation typically collaborate with other teams to develop accurate models?

In Physics AI Simulation roles, collaboration is integral to creating reliable simulation models. Professionals often work closely with domain experts, such as physicists and engineers, to validate the scientific accuracy of their AI-driven simulations. They also partner with software developers to integrate simulation tools into broader platforms and may engage with data scientists to refine algorithms using experimental or real-world data. Regular interdisciplinary meetings and code reviews are common practices to ensure alignment and quality throughout the project lifecycle.

What are the key skills and qualifications needed to thrive as a Physics AI Simulation Specialist, and why are they important?

To thrive as a Physics AI Simulation Specialist, you need a solid background in physics, mathematics, and computer science, often supported by a relevant degree or advanced studies. Familiarity with simulation software such as MATLAB, Simulink, or Unity, and programming languages like Python or C++, is typically required, along with experience in machine learning frameworks. Strong problem-solving, analytical thinking, and effective collaboration skills help distinguish top performers in this field. These competencies ensure accurate modeling, innovative solutions, and effective teamwork in developing realistic and efficient AI-driven simulations.

What is a Physics AI Simulation job?

A Physics AI Simulation job involves creating, developing, and maintaining computer simulations that model physical systems using artificial intelligence techniques. Professionals in this field use their expertise in physics, mathematics, and programming to design simulations for research, engineering, gaming, or educational purposes. They often work with machine learning algorithms to improve the accuracy and efficiency of these simulations, enabling better predictions and deeper insights into complex phenomena. This role typically requires strong analytical skills and experience with simulation software and programming languages.

What is the difference between Physics Ai Simulation vs Data Scientist?

AspectPhysics Ai SimulationData Scientist
Required CredentialsPhysics or Computer Science degree, knowledge of AI and simulation toolsStatistics, Mathematics, Computer Science degree, programming skills
Work EnvironmentResearch labs, tech companies, simulation software developmentBusiness, tech firms, data analysis teams
Industry UsagePhysics research, AI-driven simulations, scientific modelingData analysis, predictive modeling, business insights

Physics Ai Simulation focuses on creating AI-driven models to simulate physical phenomena, often requiring physics and AI expertise. Data Scientists analyze data to extract insights, build predictive models, and support decision-making. While both roles involve data and AI, Physics Ai Simulation emphasizes physical modeling and simulation, whereas Data Scientists focus on data analysis and interpretation.

More about Physics Ai Simulation jobs
What cities are hiring for Physics Ai Simulation jobs? Cities with the most Physics Ai Simulation job openings:
What states have the most Physics Ai Simulation jobs? States with the most job openings for Physics Ai Simulation jobs include:
What job categories do people searching Physics Ai Simulation jobs look for? The top searched job categories for Physics Ai Simulation jobs are:
Physics Ai Simulation jobs near you
Infographic showing various Physics Ai Simulation job openings in the United States as of May 2026, with employment types broken down into 83% Full Time, 15% Part Time, 1% Temporary, and 1% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.
R&D Leader - Advanced Modeling & Simulation

R&D Leader - Advanced Modeling & Simulation

Owens Corning

Granville, OH • Hybrid

Other

Posted 28 days ago

Owens Corning rating

8.0

Company rating: 8.0 out of 10

Based on 97 frontline employees who took The Breakroom Quiz

129th of 515 rated manufacturers

Job description

Purpose of the Job

Lead Owens Corning's Advanced Modeling & Simulation team to shape the future of digital engineering by integrating cutting-edge AI-driven modeling, predictive simulations, and digital twin ecosystems. This role will pioneer next-generation capabilities that accelerate innovation, enable autonomous optimization, and deliver sustainable solutions across enterprise R&D.

Key Accountabilities

  • Strategic Leadership: Define and execute modeling vision, including multi-physics simulations, reduced-order models, and hybrid AI/physics workflows.
  • Team Development: Build and lead a high-performing team of Senior Engineers, fostering agility and growth mindset.
  • Technical Excellence & Capability Development: Drive portfolio execution with rigor; oversee AI + simulation architecture, digital twins, and physics-informed ML models.
  • Collaboration: Partner with Materials Science, Glass sciences, Product Development, Capital Delivery and Operations to expand modeling impact.
  • Portfolio Management: Manage modeling team portfolio by prioritizing the projects per business priority and providing appropriate resource allocation to keep advancing on this strategy.
  • External engagement:  Leverage external resources to accelerate learnings and advance our capabilities for fundamentals and solution development.

Technical Expertise:

Advanced Modeling & Simulation Knowledge

  • Proficiency in physics-based, data-driven, and hybrid modeling approaches.
  • Use science fundamentals to translate process and product needs into actionable modeling insights for accelerated development Strong background and expertise in multi-scale and multi-physics simulations (Structural, Fluid Mechanics, Thermal, Moisture, Chemical, etc.).
  • Demonstrated capability in computational modeling techniques such as CFD and FEA

Digital Twin Development

  • Understanding of real-time data integration, IoT connectivity, and predictive analytics.
  • Familiarity with lifecycle management of digital twins (design operation optimization) and advanced controls processes

Computational Tools & Platforms

  • Experience with CAE tools (ANSYS, COMSOL, Abaqus, GFM), system modeling, and cloud-based simulation platforms.

Data Science & AI Integration

  • Ability to leverage machine learning for surrogate modeling, optimization, and anomaly detection.

Required Qualifications

  • Advanced degree in Mechanical, Civil, Chemical, or Materials Engineering.
  • 10+ years in modeling and simulation workflows with technical leadership experience.
  • Expertise in CAE tools (Ansys, COMSOL) and AI/ML integration.
  • Proven track record in digital twins and surrogate modeling.
  • Strong working knowledge of engineering design, industry safety standards, and integrated system design with ability to apply to our manufacturing processes and product development
  • Proven capabilities with Simulation Data Management (SDM) methodologies and experience with storage, organization and simulation results sharing

About Owens Corning  

Owens Corning is a residential and commercial building products leader committed to building a sustainable future through material innovation. Our products provide durable, sustainable, energy-efficient solutions that leverage our unique capabilities and market-leading positions to help our customers win and grow. We are global in scope, human in scale with more than 25,000 employees in 31 countries dedicated to generating value for our customers and shareholders and making a difference in the communities where we work and live. Founded in 1938 and based in Toledo, Ohio, USA, Owens Corning posted 2024 sales of $11.0 billion. For more information, visit www.owenscorning.com. 

Owens Corning is an equal opportunity employer. Except in limited circumstances such as formal apprenticeship programs, Owens Corning does not employ anyone under the age of 18.

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About OWENS CORNING

Sourced by ZipRecruiter

Owens Corning (OC) develops, manufactures and markets insulation, roofing, and fiberglass composites. Global in scope and human in scale, the company's market-leading businesses use their deep expertise in materials, manufacturing and building science to develop products and systems that save energy and improve comfort in commercial and residential buildings. Through its glass reinforcements business, the company makes thousands of products lighter, stronger and more durable. Ultimately, Owens Corning people and products make the world a better place. Based in Toledo, Ohio, Owens Corning posted 2017 sales of $6.4 billion and employs 19,000 people in 37 countries. It has been a Fortune 500® company for 64 consecutive years. For more information, please visit www.owenscorning.com. A career at Owens Corning offers the ability to enhance your expertise and achieve your personal and professional aspirations. Through it all, we'll empower you with an environment that encourages open communication and big ideas, competitive pay for your performance, comprehensive benefits, and more opportunities to make your impact.

Industry

Construction materials wholesalers

Company size

10,000+ Employees

Headquarters location

Toledo, OH, US

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