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Ai Physics Jobs (NOW HIRING)

Senior Product Manager, AI Physics

OR · On-site +1

$126K - $166K/yr

At NVIDIA, we're solving the world's most challenging problems with our unique approach to accelerated computing. We're looking for a technical and passionate product manager to join the NVIDIA team

Senior Product Manager, AI Physics

$129K - $170K/yr

At NVIDIA, we're solving the world's most challenging problems with our unique approach to accelerated computing. We're looking for a technical and passionate product manager to join the NVIDIA team

$126K - $167K/yr

At NVIDIA, we're solving the world's most challenging problems with our unique approach to accelerated computing. We're looking for a technical and passionate product manager to join the NVIDIA team

Rescale is pioneering the future of engineering and scientific discovery. As the leader in digital engineering, we're transforming how products are developed-through intelligent automation, applied

Job Summary : Unconventional AI is on a mission to revolutionize computing efficiency for AI applications. They are seeking a Member of Technical Staff who will tackle complex technical challenges at

This role is for one of our clients Compensation: $80 per hourWe are seeking highly qualified Physics PhD professionals to contribute to a cutting-edge AI research initiative involving advanced large

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How much do ai physics jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for ai physics in the United States is $20.06, according to ZipRecruiter salary data. Most workers in this role earn between $12.50 and $25.48 per hour, depending on experience, location, and employer.

What is AI physics?

AI Physics refers to the interdisciplinary field that combines artificial intelligence (AI) techniques with physics research and applications. Professionals in AI Physics use machine learning, data analysis, and computational methods to solve complex physics problems, model physical systems, and accelerate scientific discovery. This field enables more accurate simulations, faster data processing, and new insights in areas like quantum mechanics, astrophysics, and materials science. It is increasingly important in both academic research and industry settings, driving innovation across multiple scientific domains.

What are the key skills and qualifications needed to thrive as an AI physicist?

To thrive as an AI Physicist, you need a solid background in physics, mathematics, and computer science, often supported by an advanced degree (Master’s or PhD) in a related field. Proficiency in programming languages like Python, machine learning frameworks (such as TensorFlow or PyTorch), and familiarity with simulation or data analysis tools is typically required. Strong problem-solving skills, creativity, and effective collaboration abilities help set standout professionals apart. These skills and qualities are crucial for developing innovative AI-driven solutions to complex physical problems and advancing research in both physics and artificial intelligence.

How do professionals in AI physics typically collaborate with multidisciplinary teams to solve complex problems?

In AI Physics roles, collaboration with multidisciplinary teams is essential, as projects often require integrating expertise from physics, computer science, and engineering. AI physicists frequently partner with domain experts to translate physical principles into computational models, work with data scientists to analyze experimental or simulated data, and coordinate with software engineers to implement scalable AI solutions. Effective communication and a willingness to learn from other disciplines are important for success. This collaborative environment not only enhances the quality of research but also offers opportunities for professional growth and exposure to diverse methodologies.

What is the difference between Ai Physics vs Data Scientist?

AspectAi PhysicsData Scientist
Required CredentialsPhysics or related degrees, specialized AI knowledgeStatistics, computer science, or related degrees
Work EnvironmentResearch labs, tech companies, academiaCorporate, tech firms, consulting
Industry UsageAI development in physics applications, researchData analysis, predictive modeling across industries

Ai Physics focuses on applying AI techniques to physics problems, often requiring physics and AI expertise. Data Scientists analyze data across various fields, including finance, healthcare, and tech. While both roles involve AI and data skills, Ai Physics is more specialized in physics research and applications, whereas Data Scientists have a broader industry scope.

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Cities with the most Ai Physics job openings:

What states have the most Ai Physics jobs?

States with the most job openings for Ai Physics jobs include:

Infographic showing various Ai Physics job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 76% Full Time, 20% Part Time, and 3% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $41,731 per year, or $20.1 per hour.

Senior Product Manager, AI Physics

OR • On-site, Remote

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees

$126K - $166K/yr

Full-time

Re-posted 4 days ago


Key responsibilities

  • Define and position AI physics products and develop strategic go-to-market plans.

  • Collaborate with engineering, marketing, sales, and other teams to bring product ideas to life and ensure alignment.

  • Engage with internal and external audiences by delivering presentations and creating content to communicate technology capabilities.


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

At NVIDIA, we're solving the world's most challenging problems with our unique approach to accelerated computing. We're looking for a technical and passionate product manager to join the NVIDIA team building our AI physics models, libraries, and frameworks. This role is responsible for leading some of our newest AI physics products, which are at the forefront of engineering acceleration and experiencing massive adoption and interest across CAE and EDA workloads..Come join our team in this highly visible and central opportunity to impact NVIDIA's continued leadership in accelerated computing

NVIDIA's AI physics products are essential, visible and growing both inside and outside of NVIDIA. We are looking for a self-starting product manager to continue growing these impactful models, libraries, and frameworks. Do you have the unique blend of technical, positioning and communication skills.

Are you excited about groundbreaking technology. If so, we would love to learn more about you. What You'll Be Doing: Leading: Take a leadership role in defining and positioning AI physics products, and building strategic go-to-market plans for AI physics across key industries.

Building: Bring ideas to life through product definition execution in collaboration with engineering, developer relations, and business development. Presenting: Engage external and internal audiences, delivering ideas clearly with confidence using creative approaches, translating technology capabilities to messages that resonate. Collaborate with marketing, sales, and PR teams on content creation for partner enablement assets such as presentation decks, blogs, whitepapers, webinars, demos, and more.

Collaborating: Team up with product managers from other departments, product marketing teams, campaign marketing, developer relations, business development, and field teams, to ensure alignment and execution of GTM and strategic business plans. What We Need To See: Graduate degree or equivalent experience in AI, physics, mathematics, mechanical engineering, electrical engineering, computer engineering, or relevant technical field. 8+ years of combined experience in a product management or technical role at a technology company working with AI, libraries, SDKs, frameworks, and/or toolkits.

Familiarity with AI frameworks and AI architecture for physical simulation. Strong technical foundation in GPU computing, CUDA, or parallel programming models. Excellent communication and presentation skills, with the ability to work across engineering, marketing, and business teams.

Proven ability to translate technical capabilities into developer and customer value. Ability to prioritize multiple projects and work independently with minimal direction. Ways To Stand Out From The Crowd: Experience with computer-aided engineering or high performance computing.

Prior experience managing AI-enhanced simulation products. Experience driving go-to-market strategy and customer engagements for technical products. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 168,000 USD - 258,750 USD for Level 4, and 208,000 USD - 327,750 USD for Level 5. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until July 14, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.


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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