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Generative Ai Physics Jobs (NOW HIRING)

Stardock Corporation

Senior Game Developer

Plymouth, MI · On-site

$120K - $160K/yr

Optimization, networking, UI/UX, AI, generative AI, physics, data management, graphics, gameplay, audio, HLSL/GLSL shaders, pipelines, terrain. * Able to learn new technology quickly and execute on a ...

Stardock Corporation

Senior Game Developer

Plymouth, MI · On-site

$120K - $160K/yr

Optimization, networking, UI/UX, AI, generative AI, physics, data management, graphics, gameplay, audio, HLSL/GLSL shaders, pipelines, terrain. * Able to learn new technology quickly and execute on a ...

Kanak Elite Services Inc

AI Engineer

Santa Clara, CA · On-site

We are seeking a Generative AI (GenAI) Design Engineer to join our team and drive innovation in AI ... Create high-fidelity digital twins combining physics-based solvers (CFD, plasma, heat transfer ...

Genesis Molecular AI

Software Engineer - ML Infrastructure

San Mateo, CA · On-site +1

$197K - $233K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Our generative and predictive AI platform, GEMS (Genesis Exploration of Molecular Space), integrates AI and physics into industry-leading models to generate and optimize drug molecules, including the ...

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Generative Ai Physics information

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$11K

$61.2K

$94.5K

How much do generative ai physics jobs pay per year?

As of Aug 13, 2026, the average yearly pay for generative ai physics in the United States is $61,160.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,000.00 and $64,500.00 per year, depending on experience, location, and employer.

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

AspectGenerative Ai PhysicsData Scientist
Required CredentialsPhysics degree, AI/ML knowledgeStatistics, Computer Science, Data Analysis
Work EnvironmentResearch labs, tech companies, academiaBusiness, tech firms, consulting
Industry UsagePhysics simulations, AI model developmentData analysis, predictive modeling
Common Search IntentUnderstanding AI in physics researchAnalyzing data trends, insights

Generative Ai Physics focuses on applying AI techniques to physics problems, often involving simulations and model development. Data Scientists analyze data to extract insights across various industries. While both roles require analytical skills, Generative Ai Physics emphasizes physics knowledge combined with AI expertise, whereas Data Scientists focus on data analysis and interpretation.

What are the key skills and qualifications needed to thrive as a generative AI physics specialist, and why are they important?

To thrive as a Generative AI Physics Specialist, you need a solid background in physics, mathematics, and computer science, often with an advanced degree such as a Master's or Ph.D. in a related field. Expertise in machine learning frameworks (like TensorFlow or PyTorch), programming languages (such as Python), and familiarity with computational physics tools are typically required. Strong analytical thinking, creativity, and clear communication skills help in developing innovative AI models and collaborating with interdisciplinary teams. These skills enable the successful integration of AI techniques with physical systems, driving progress in research and practical applications.

What is a generative AI physicist?

A Generative AI Physicist is a professional who applies generative artificial intelligence techniques to solve complex problems in physics. They use models such as neural networks and deep learning algorithms to simulate, predict, or generate new physical phenomena and data. This role often involves interdisciplinary work combining expertise in physics, machine learning, and computer science. Generative AI Physicists contribute to advancements in scientific research, material discovery, and the automation of experimental design.

How does a generative AI physics specialist typically collaborate with other departments in interdisciplinary research projects?

As a Generative AI Physics specialist, you will often work closely with data scientists, software engineers, and domain experts from various fields such as materials science, engineering, or biomedical research. Effective collaboration involves translating complex physical models into machine learning frameworks, sharing insights to refine algorithms, and integrating AI-generated results into broader research initiatives. Regular interdisciplinary meetings and shared project management tools are commonly used to ensure alignment and foster innovation. This collaborative environment not only broadens your technical skills but also enhances your ability to communicate complex concepts to diverse teams.
More about Generative Ai Physics jobs
What cities are hiring for Generative Ai Physics jobs? Cities with the most Generative Ai Physics job openings:
What states have the most Generative Ai Physics jobs? States with the most job openings for Generative Ai Physics jobs include:
What job categories do people searching Generative Ai Physics jobs look for? The top searched job categories for Generative Ai Physics jobs are:
Generative Ai Physics jobs near you
Infographic showing various Generative Ai Physics job openings in the United States as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $61,160 per year, or $29.4 per hour.

Research Scientist, Generative AI for Physical AI - PhD New College Grad 2026

NVIDIA

Santa Clara, CA • On-site

Full-time

Re-posted 4 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

Job Summary:
NVIDIA is a leading technology company known for its innovative work in AI. They are seeking a Research Scientist specializing in Generative AI for Physical AI to develop next-generation algorithms and enhance physical AI applications. The role involves pioneering generative AI algorithms, architecting data processing pipelines, and collaborating with various research teams.
Responsibilities:
• Pioneer revolutionary generative AI algorithms for physical AI applications, with a focus on advanced video generative models and video-language models
• Architect and implement sophisticated data processing pipelines that produce premium-quality training data for Generative AI and Physical AI systems
• Design and develop cutting-edge physics simulation algorithms that enhance Physical AI training
• Scale and optimize large-scale training systems to efficiently harness the power of 20,000+ GPUs for training foundation models
• Author influential research papers to share your groundbreaking discoveries with the global AI community
• Drive innovation through close collaboration with research teams, diverse internal product groups, and external researchers
• Build lasting impact by facilitating technology transfer and contributing to open-source initiatives
Qualifications:
Required:
• PhD in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).
• Deep expertise in PyTorch and related libraries for Generative AI and Physical AI development
• Strong foundation in diffusion, vision language and reasoning models and their applications
• Proven experience with reinforcement learning algorithms and implementations
• Robust knowledge of physics simulation and its integration with AI systems
• Demonstrated proficiency in 3D generative models and their applications
Preferred:
• Publications or contributions to major AI conferences (ICLR, NeurIPS, ICML, CVPR, ECCV, SIGGRAPH, ICCV, etc.)
• Experience with large-scale distributed training systems
• Background in robotics or physical systems
• Open-source contributions to prominent AI projects
• History of successful research-to-product transitions
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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