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Physics Ai Simulation Jobs (NOW HIRING)

Vinci AI

Thermal Engineer

Palo Alto, CA · On-site

$140K - $200K/yr

Ability to rapidly learn and adapt to new physics-based workflows and AI-assisted design tools * Experience with commercializing technical software-ideally EDA or simulation tools-into semiconductor ...

HammerheadAI

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 ...

Vinci AI

Thermo-Mechanical Engineer

Palo Alto, CA · On-site

$140K - $200K/yr

Ability to rapidly learn and adapt to new physics-based workflows and AI-assisted design tools * Experience with commercializing technical software-ideally EDA or simulation tools-into semiconductor ...

Eaton

Lead Engineer - Digitalization & AI

Southfield, MI · On-site

$105K - $154K/yr

... simulation, test, and manufacturing, increasing engineering throughput and product quality. Making ... physics digital twins. Drive cross-domain model integration for electromagnetics, thermal ...

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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.

Thermal Engineer

Vinci AI

Palo Alto, CA • On-site

$140K - $200K/yr

Full-time

Re-posted 22 days ago

Job description

About Us
We are building Physics AI for hardware design. Our product helps engineers explore, analyze, and optimize hardware systems, integrating cutting-edge AI with the realities of engineering design workflows.
Role Overview
As part of the Forward Deployment Sales team, you will play a key role in accelerating the adoption of Vinci's software with leading engineering teams. You will work closely with prospective customers to demonstrate Vinci's capabilities and show how the platform can significantly improve product design, thermal performance, time to market and reliability.
In this role, you will build and simulate thermal models based on customer designs to validate Vinci's software and showcase its value in real-world applications. You will leverage your expertise in thermal analysis and CFD to analyze steady-state and transient thermal behavior, particularly in areas such as electronics cooling, thermal management, and product reliability.
You will collaborate directly with customer engineering teams to understand their requirements, answer technical questions, and clearly communicate Vinci's product capabilities. Your insights from customer engagements will also help guide product development by identifying key needs and opportunities for improvement.
This is a hybrid role, with the expectation of working 3 days per week in our Palo Alto office for close collaboration with Sales, Product, and Engineering. The role includes moderate travel, primarily within the United States. Some infrequent international travel may be required for key customers and events in Asia and Europe.
Responsibilities
  • Engage with customer engineering teams during the evaluation phase by supporting simulation setup, running test cases, and interpreting results to demonstrate Vinci's value.
  • Collaborate with the sales team to deliver product demonstrations, conduct proof-of-concept evaluations, and participate in in-depth technical discussions with prospective customers.
  • Support customer onboarding and deployments by providing technical guidance, training, and troubleshooting throughout the deployment and production phases.
  • Identify customer pain points and workflow challenges, and collaborate with the product and engineering teams to improve product capabilities and overall customer experience.
  • Deliver technical training sessions and workshops to enable customer teams to effectively adopt and scale Vinci within their engineering workflows.
  • Represent Vinci at industry conferences and semiconductor events by delivering live product demonstrations, managing booth activities, and engaging technically with prospective customers and partners.
  • Maintain a strong understanding of competitive technologies, industry trends, and market positioning to effectively communicate Vinci's differentiators.

Required Qualifications
  • Degree in Mechanical, Electrical, or related engineering field
  • 3+ years of hands-on electronics thermal engineering or simulation experience (CFD/FEA, Ansys ICEPAK, Siemens FLOTHERM, Cadence Celsius, etc.)
  • Experience in Customer-facing roles
  • Strong problem-solving mindset and ability to quickly learn new tools and workflows
  • Strong ability to communicate complex results clearly to a mixed audience (technical + business)

Preferred Qualifications
  • Familiarity with semiconductor electronics packaging and advanced cooling (cold plates, vapor chambers, 2.5D/3D IC, etc.)
  • Experience in pre-sales, technical sales, or customer-facing engineering roles
  • Ability to rapidly learn and adapt to new physics-based workflows and AI-assisted design tools
  • Experience with commercializing technical software-ideally EDA or simulation tools-into semiconductor and electronics companies

Why Join Us
  • Be part of a team defining the future of AI in hardware design.
  • Work at the intersection of advanced AI, real-world engineering, and customer success.
  • Collaborate with world-class engineers and researchers in a fast-moving startup environment.

Apply