1

Generative Ai Physics Jobs in Raleigh, NC (NOW HIRING)

The ideal candidate brings a quantitative research background (physics, engineering, statistics ... Familiarity with generative AI and LLM-based solutions as complementary tools. * Familiarity with ...

The ideal candidate brings a quantitative research background (physics, engineering, statistics ... Familiarity with generative AI and LLM-based solutions as complementary tools. * Familiarity with ...

The ideal candidate brings a quantitative research background (physics, engineering, statistics ... Familiarity with generative AI and LLM-based solutions as complementary tools. * Familiarity with ...

Experience designing, developing, deploying, implementing, or supporting AI, Generative AI, or ... Physics, Statistics, or a related field. * Ability to travel up to 20% on average, based on the ...

... physics, or related field) * 3+ years of experience in modeling or analytics * Ability to assess ... Subject matter expertise in generative large language models (Artificial Intelligence) Job ...

Generative Ai Physics information

See Raleigh, NC salary details

$10.7K

$59.5K

$91.9K

How much do generative ai physics jobs pay per year?

As of Jul 26, 2026, the average yearly pay for generative ai physics in Raleigh, NC is $59,452.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,700.00 and $62,700.00 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.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior researcher, AI director, or executive role, often requiring advanced skills in machine learning, deep learning, and data science. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise and responsibility in developing or managing AI systems and projects.

What jobs can you get with a generative AI certification?

A generative AI certification can qualify you for roles such as AI engineer, machine learning engineer, data scientist, or research scientist, where skills in AI model development, programming, and data analysis are essential. These positions often involve developing and deploying AI models, working with tools like Python and TensorFlow, and require a strong understanding of machine learning concepts.

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.

Which 3 jobs will survive AI?

Generative AI Physics professionals, data scientists, and AI ethics specialists are likely to remain in demand as their roles require complex problem-solving, domain expertise, and ethical oversight that are difficult for AI to fully replicate. These jobs involve critical thinking, creativity, and nuanced understanding of physics and AI applications. Skills in programming, machine learning, and domain-specific knowledge will enhance job security in these fields.

What is the highest paid physics job?

In the field of physics, roles such as physics research director, senior data scientist specializing in physics-based models, or physics consultant in industries like aerospace, defense, and technology tend to have the highest salaries. These positions often require advanced degrees, specialized skills in computational modeling or AI, and extensive experience, with salaries reaching into the high six or seven figures annually.
What are popular job titles related to Generative Ai Physics jobs in Raleigh, NC? For Generative Ai Physics jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Generative Ai Physics jobs in Raleigh, NC look for? The top searched job categories for Generative Ai Physics jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Generative Ai Physics jobs? Cities near Raleigh, NC with the most Generative Ai Physics job openings:
Infographic showing various Generative Ai Physics job openings in Raleigh, NC as of July 2026, with employment types broken down into 69% Full Time, 20% Part Time, and 11% Contract. Highlights an 59% Physical, 3% Hybrid, and 38% Remote job distribution, with an average salary of $59,452 per year, or $28.6 per hour.

Senior Research Engineer - AI/ML

Berriehill Research

Raleigh, NC • On-site

$181K/yr

Full-time

Posted 20 days ago


Job description

Applied Research Associates, Inc. (ARA) is actively seeking a highly qualified Research Engineer for the development of advanced AI/ML algorithms for the Intelligence and Defense communities. Application areas include software tool development, physics-based modeling, machine learning, simulation and optimization, probabilistic modeling, computer vision, and intelligent agents. The scientist / engineer will join a multi-disciplinary collaborative team of engineers and scientists.

We are seeking an experienced Research Engineer to join our team. The ideal candidate will have an active interest in applying math/statistics/physics/engineering concepts to solve multi-disciplinary problems. Candidate will have strong analytical skills and will be capable of translating ideas and proposed solutions into software tools and algorithms. The candidate should be familiar with improving/optimizing/tuning existing algorithms as well as development of new algorithms from scratch. This will include software design, software development, and debugging / issue resolution. The candidate should demonstrate a hands-on approach to problem solving and must be willing to actively participate in evaluation of algorithm and system performance. Strong critical thinking, problem solving, and debugging skills are required.

Scientists / engineers who are passionate about applying their expertise to solve problems of national importance, have a strong entrepreneurial spirit, and are seeking opportunities for personal and professional growth in a stable environment are strongly encouraged to apply.

Senior Research Engineer – AI/ML Position Requirements:

  • U.S. Citizenship (No exceptions; green card holders are not eligible)
  • Current TS/SCI clearance or TS/SCI eligible
  • BS in Engineering, Computer Science, Physics, Mathematics, or a related field with 10-12 years of relevant work experience
  • Experience in one or more of the following areas: machine learning, physics-based modeling, simulation and optimization, uncertainty quantification, surrogate modeling and model reduction, computer vision, and intelligent agents
  • Strong foundation in software development and experience with Python, Java, and/or C++
  • Experience going from problem statement to prototype to production-ready algorithms
  • Strong communication and collaboration skills, capable of working effectively in a dynamic, team-oriented environment

Senior Research Engineer – AI/ML Preferences:

Above all, we value passion, a continuous desire to learn, and teamwork. We are confident that if you possess the right attitude, work ethic, and skill set, you will succeed in the role. In addition to the experience and skills above, if you have any of the following, you will be able to accelerate your effectiveness and impact.

  • PhD or MS in Engineering, Computer Science, Physics, Mathematics, or a related field
  • Experience in cloud-based, parallel, or distributed computing.
  • Experience developing generative AI, agentic AI, and/or LLM-based systems
  • Experience leading small teams of researchers and engineers
  • Experience with proposal development and sponsor interactions
  • Ability and desire to quickly learn new domains.

Who is ARA?  

Do you want to work for a purpose? Applied Research Associates, Inc. (aka ARA) is an employee-owned international research and engineering company. We have been providing technically superior solutions to complex and challenging problems in the physical sciences since 1979. ARA has over 2,200 employee-owners and continues to grow rapidly. Together, our offices throughout the U.S. and Canada provide a broad range of technical expertise in defense, civil, and health technologies, computer software and simulation, systems analysis, environmental technologies, and testing and measurement. 

ARA also prides itself, on having a challenging culture where innovation & experimentation are the norm. The motto, “Engineering and Science for Fun and Profit” sums up the ARA experience. Employee ownership ensures you have a voice in what happens in the company. We are also very proud of our Women’s Initiative Network (WIN), whose purpose is to motivate, support, and encourage professional career development for women to maximize career and professional accomplishments.  

To find out more about what the Software Enterprise Division has to offer, visit our website at: https://www.ara.com/benefits/