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Physics Ai Simulation Jobs in California (NOW HIRING)

Amat

Physics AI Scientist III

Santa Clara, CA · On-site +1

$142K - $196K/yr

Develop Scientific AI models that bridge scientific computing, physics-based simulation and machine learning for physics and chemistry-based engineering problems. * Design and train surrogate models ...

Applied Materials

Physics AI Scientist III

Santa Clara, CA · On-site

$142K - $196K/yr

Develop Scientific AI models that bridge scientific computing, physics-based simulation and machine learning for physics and chemistry-based engineering problems. * Design and train surrogate models ...

Applied Materials

Physics AI Scientist III

Santa Clara, CA · On-site +1

$142K - $196K/yr

Build physics-aware surrogate models, foundation models, and optimization workflows that accelerate simulation and engineering design. Key Responsibilities Develop Scientific AI models that bridge ...

Amat

Physics AI Scientist IV

Santa Clara, CA · On-site +1

$184K - $253K/yr

Develop Scientific AI models that bridge scientific computing, physics-based simulation and machine learning for physics and chemistry-based engineering problems. * Design and train surrogate models ...

UniversalAGI

AI Product Engineer

San Francisco, CA · On-site

Prior experience or background with 3D applications, CAD, physics simulations, or engineering ... AI tools stipend * Monthly commute stipend * Monthly wellness / fitness stipend * Daily office ...

Vinci AI

Procedural Data Generation Engineer

Palo Alto, CA · On-site

$170K - $230K/yr

About Us Vinci is building physics AI for hardware design. Our models deliver ultrafast, accurate thermal and mechanical simulation and our platform puts that capability in the hands of every ...

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Physics Ai Simulation information

What is a Physics AI Simulation?

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 are the key skills and qualifications needed to thrive as a Physics AI Simulation specialist?

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.

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 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.

What are popular job titles related to Physics Ai Simulation jobs in California?

For Physics Ai Simulation jobs in California, the most frequently searched job titles are:

What job categories do people searching Physics Ai Simulation jobs in California look for?

The top searched job categories for Physics Ai Simulation jobs in California are:

What cities in California are hiring for Physics Ai Simulation jobs?

Cities in California with the most Physics Ai Simulation job openings:

Physics Ai Simulation jobs near you
Infographic showing various Physics Ai Simulation job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution.

Physics AI Scientist III

Santa Clara, CA • On-site, Remote

Amat
See more jobs at Amatexternal

$142K - $196K/yr

Full-time

Posted 17 days ago

Job description

Who We Are

Applied Materials is a global leader in materials engineering solutions used to produce virtually every new chip and advanced display in the world. We design, build and service cutting-edge equipment that helps our customers manufacture display and semiconductor chips - the brains of devices we use every day. As the foundation of the global electronics industry, Applied enables the exciting technologies that literally connect our world - like AI and IoT. If you want to push the boundaries of materials science and engineering to create next generation technology, join us to deliver material innovation that changes the world.

What We Offer

Salary:

$142,500.00 - $196,500.00

Location:

Santa Clara,CA

You'll benefit from a supportive work culture that encourages you to learn, develop, and grow your career as you take on challenges and drive innovative solutions for our customers. We empower our team to push the boundaries of what is possible-while learning every day in a supportive leading global company. Visit our Careers website to learn more.

At Applied Materials, we care about the health and wellbeing of our employees. We're committed to providing programs and support that encourage personal and professional growth and care for you at work, at home, or wherever you may go. Learn more about our benefits.

Role Summary

Develop next-generation AI models for semiconductor engineering by combining scientific domain knowledge with modern machine learning. Build physics-aware surrogate models, foundation models, and optimization workflows that accelerate simulation and engineering design.

Key Responsibilities

  • Develop Scientific AI models that bridge scientific computing, physics-based simulation and machine learning for physics and chemistry-based engineering problems.

  • Design and train surrogate models, operator-learning models, and foundation models for scientific simulations.

  • Collaborate with domain experts to formulate AI solutions for complex engineering challenges.

  • Develop scalable data generation, training, validation and deployment workflows for Scientific AI models.

  • Publish technical innovations and drive adoption of Scientific AI across engineering applications.

Preferred Qualifications

  • Ph.D. in Mechanical Engineering, Chemical Engineering, Materials Science, Physics, Applied Mathematics, Computer Science, or a related field.

  • Experience applying machine learning to real-world scientific or engineering problems.

  • Strong background in scientific machine learning and numerical simulation.

  • Experience with surrogate modeling, PINNs, operator learning (e.g., FNO), or foundation models.

  • Proficiency in Python and PyTorch.

  • Experience with HPC, distributed training, large-scale scientific datasets or scalable ML workflows.

Additional Information

Time Type:

Full time

Employee Type:

Assignee / Regular

Travel:

Yes, 10% of the Time

Relocation Eligible:

Yes

The salary offered to a selected candidate will be based on multiple factors including location, hire grade, job-related knowledge, skills, experience, and with consideration of internal equity of our current team members. In addition to a comprehensive benefits package, candidates may be eligible for other forms of compensation such as participation in a bonus and a stock award program, as applicable.

For all sales roles, the posted salary range is the Target Total Cash (TTC) range for the role, which is the sum of base salary and target bonus amount at 100% goal achievement.

Applied Materials is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, national origin, citizenship, ancestry, religion, creed, sex, sexual orientation, gender identity, age, disability, veteran or military status, or any other basis prohibited by law.

In addition, Applied endeavors to make our careers site accessible to all users. If you would like to contact us regarding accessibility of our website or need assistance completing the application process, please contact us via e-mail at Accommodations_Program@amat.com, or by calling our HR Direct Help Line at 877-612-7547, option 1, and following the prompts to speak to an HR Advisor. This contact is for accommodation requests only and cannot be used to inquire about the status of applications.

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