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Physics Ai Simulation Jobs (NOW HIRING)

Luminary Cloud

LLM Engineer

San Mateo, CA · On-site

Customize foundation models for Physics AI and physics simulation domain expertise through fine-tuning, prompt engineering, and evaluation frameworks * Deploy and scale LLM infrastructure : Build ...

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 ...

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Physics Ai Simulation information

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$11K

$67.6K

$121.5K

How much do physics ai simulation jobs pay per year?

As of Jul 9, 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.

What engineers make $500,000?

Senior engineers in specialized fields such as aerospace, petroleum, or software engineering can earn $500,000 or more annually, especially with experience, advanced skills, and in high-demand industries. Roles involving leadership, project management, or working in lucrative markets often contribute to such high compensation levels.

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.

Can a physicist become an AI engineer?

A physicist can become an AI engineer by acquiring skills in programming, machine learning, and data analysis, often through online courses or advanced degrees. Their strong analytical and mathematical background can be a valuable asset in developing AI models and algorithms.

Which 3 jobs will survive AI?

Physics AI Simulation professionals are likely to see continued demand in roles involving complex problem-solving, data analysis, and developing AI models that require deep domain expertise. Jobs that involve creativity, emotional intelligence, and tasks requiring human judgment, such as research scientists, AI ethics specialists, and technical educators, are also expected to persist. These roles benefit from specialized knowledge and skills that are difficult for AI to fully replicate.

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 a $900000 AI job?

A $900,000 AI job typically refers to a high-paying position in artificial intelligence, such as senior AI researcher, machine learning director, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles are usually found in leading tech companies or specialized research organizations and may involve managing large projects or teams. Compensation at this level reflects extensive experience, expertise, and leadership responsibilities in the AI field.

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 July 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $67,601 per year, or $32.5 per hour.
Physics AI - Thermal-Mechanical Reliability

Physics AI - Thermal-Mechanical Reliability

Flexcompute Inc.

Watertown, MA

$96K - $128K/yr

Other

Medical, Dental, Vision, Retirement

Re-posted 28 days ago

Job description

Flexcompute is a cutting-edge technology startup that specializes in ultra-fast simulation technology. Our products are utilized by companies in designing and optimizing technology products, with applications ranging from designing airplanes and cars to wind turbines and quantum computing chips. Our customer base includes both household names and startups in emerging industries. Our company was founded by world-renowned leaders in simulation technology from Stanford University and MIT. Backed by top VC firms, we are poised to disrupt the billion-dollar engineering simulation industry with our fast-growing trajectory

Our core technology features the world's fastest GPU solvers, capable of delivering orders-of-magnitude speedups over traditional tools. By integrating these solvers with our Physics AI Foundation Models, we enable engineers to explore design spaces that were previously computationally inaccessible. At Flexcompute, we don't just make simulations faster; we make the "impossible" solvable, helping our partners tackle the most critical challenges in 3D-IC design, aerospace, and beyond.

Flexcompute is seeking a visionary technical leader to head our new division focused on 3D-IC Thermal-Mechanical Reliability. In this role, you will be the primary architect of how we apply our world's fastest GPU solvers and Physics AI Foundation Models to the semiconductor industry's most critical bottleneck: the structural and thermal integrity of advanced packaging.

You will lead the strategy for solving high-stakes issues such as warpage, CTE mismatch, and thermal-induced stress in 3D-ICs and chiplet architectures. You aren't just using tools; you are defining the future of how AI and high-performance computing (HPC) converge to make 3D chips viable at scale.

Requirements

  • Education: PhD in Mechanical Engineering, Materials Science, Physics, or a related field with a deep specialization in computational multi-physics.
  • Subject Matter Authority: Recognized expertise in 3D-IC reliability, with a profound understanding of the mechanics of warpage, interfacial delamination, and thermal-mechanical coupling in heterogeneous integration.
  • AI/Simulation Fluent: A strong perspective on the role of GPU acceleration and Machine Learning in scientific computing.
  • Industry Track Record: 10+ years of experience in the semiconductor or microelectronics industry, having led technical projects that directly impacted product reliability or time-to-market.

Responsibilities

  • Strategic Leadership: Own the technical roadmap for the thermal-mechanical domain. Define how our Physics AI accelerates traditional FEA/multi-physics workflows to provide real-time reliability insights.
  • Architectural Innovation: Design end-to-end simulation workflows that address complex 3D-IC challenges, including through-silicon via (TSV) stress, micro-bump reliability, and global package warpage.
  • High-Stakes Collaboration: Act as the lead technical partner for world-class semiconductor companies, demonstrating how Flexcompute's speed transforms their iterative design cycles from days to minutes.
  • Product Influence: Directly influence the development of our GPU-accelerated solvers, ensuring they are optimized for the non-linear material behaviors and multi-scale meshes required for advanced packaging.
  • Team Building: Recruit, mentor, and lead a high-performing team of engineers specialized in computational mechanics and AI-driven physics.

Benefits

  • Competitive compensation with equity of a fast-growing startup.
  • Medical, dental, and vision health insurance.
  • 401(k) Contribution.
  • Gym allowance.
  • Friendly, thoughtful, and intelligent coworkers.

Apply