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Physics Ai Simulation Jobs in California (NOW HIRING)

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 ...

Luminary

Geometry/Meshing Engineer

San Mateo, CA · On-site

Responsibilities : • Develop and productize novel computational geometry handling and meshing approaches for physics simulation (e.g., CFD, structural analysis, thermal simulation) and Physics AI ...

Vinci AI

Strategic Account Executive

Palo Alto, CA · On-site

$300K - $400K/yr

... Vinci's Physics AI platform. In this role, you will develop and execute sophisticated account strategies to displace legacy simulation tools and establish Vinci as the new standard for hardware ...

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 ...

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 ...

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Physics Ai Simulation information

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?

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?

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.

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 67% Full Time, 28% Part Time, 2% Temporary, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution.

Senior Forward Deployed Engineer - FEA

Luminary Cloud

San Mateo, CA • On-site

$119K - $163K/yr

Full-time

Re-posted 22 days ago

Job description

Full Time | Eligible for Hybrid, Remote
JOIN THE REVOLUTION IN ENGINEERING INNOVATION
Engineering simulation has never been faster or more capable - and yet the hardest design challenges still outpace what traditional solvers can deliver at speed. Physics AI doesn't replace that foundation. It extends it, giving engineering teams a new capability layer that opens up problems previously constrained by compute time, iteration cost, or workflow bottlenecks. Luminary AI is building that capability layer, and our platform is deployed at several of the most recognized names in aerospace, automotive, and defense industries. We're Series B and growing fast.
ABOUT THE ROLE
As a Senior Forward Deployed Engineer on Luminary's Applications Engineering team, you're the physics-domain expert inside a customer value delivery team. You work in a matrix under a Lead Delivery Engineer, alongside Applied AI/ML Scientists, Data & Platform engineers, and product engineers. You take the hardest simulation problems a customer brings and turn them into deployed Physics AI solutions - from data generation, through model development, into production workflows - embedded alongside customer engineers.
WHAT YOU'LL DO
  • Lead the technical delivery of Physics AI engagements as the resident physics expert on the value delivery team.
  • Translate customer engineering problems into simulation campaigns, training datasets, and surrogate model architectures.
  • Run the simulations that generate high-quality training data, validating physical fidelity with customer SMEs.
  • Partner with Applied AI/ML Scientists on model selection, training, and validation against ground-truth simulations.
  • Work with Data & Platform engineers to integrate models into production workflows.
  • Build trust with customer engineers through technical credibility and shipped outcomes.
  • Travel to customer sites to support deployment, training, and engagement reviews.
  • Bring customer signals back to Product and Research to shape the Physics AI roadmap.

WHAT YOU BRING
  • Industrial CFD experience, with hands-on depth in a core discipline.
  • Proficiency in Python for scripting and automation, plus familiarity with a deep learning framework (e.g., PyTorch) and API/SDK workflows.
  • Hands-on experience applying Physics AI or ML-based surrogate models to engineering simulation, including surrogate modeling, neural operators, or data-driven solvers.
  • Pre-sales or customer-facing delivery experience, including running technical evaluations, building POCs, and scoping engagements.
  • Strong communication with technical audiences.

WHO WE'RE LOOKING FOR
  • A PhD in Mechanical, Aerospace, or a related discipline (MS considered with 5+ years of relevant industry experience), with hands-on depth in at least one of: aerodynamics, turbomachinery, multiphase flow, conjugate heat transfer, or combustion. Fluency in commercial solvers - Ansys Fluent, Simcenter STAR-CCM+, PowerFLOW, or similar - is expected. Working knowledge of Physics AI and ML surrogates is preferred.

Eligibility: Limited to U.S. Persons; not eligible for visa sponsorship now or in the future.

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