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Nvidia Research Jobs in Arizona (NOW HIRING)

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

In this role, you will craft and lead multi-year research strategies, develop advanced AI ... NVIDIA simulation and AI acceleration tools, including Physics NEMO and related model-based AI ...

Solution Architect I

Phoenix, AZ

$59.75 - $78.75/hr

A world-renowned center for groundbreaking neurological research and innovative treatments ... NVIDIA GPU resources. This includes maintaining and tuning PowerStore pNFS storage, PowerScale ...

Enterprise Architect

Tempe, AZ

$66 - $85.25/hr

... Research, evaluate, and recommend current and emerging tools, techniques, and technologies as ... VMWare View/ VMWare Horizon, Thin App, App-V, App Volumes and NVIDIA vGPU technologies Advanced ...

... AI research facilities. We're looking for exceptional talent who thrive in high-pressure, high ... NVIDIA, AMD, Intel) Employment Structure & Expectations This is a W-2 hourly, project-based ...

... Research, evaluate, and recommend current and emerging tools, techniques, and technologies as ... VMWare View/ VMWare Horizon, Thin App, App-V, App Volumes and NVIDIA vGPU technologies Advanced ...

Data Center Technician

Phoenix, AZ · On-site

$30 - $36/hr

... AI research facilities. We're looking for exceptional talent who thrive in high-pressure, high ... NVIDIA, AMD, Intel) Employment Structure & Expectations This is a W-2 hourly, project-based ...

Data Center Technician

Phoenix, AZ · On-site

$30 - $36/hr

... AI research facilities. We're looking for exceptional talent who thrive in high-pressure, high ... NVIDIA, AMD, Intel) Employment Structure & Expectations This is a W-2 hourly, project-based ...

Nvidia Research information

See Arizona salary details

$10

$38

$75

How much do nvidia research jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for nvidia research in Arizona is $38.24, according to ZipRecruiter salary data. Most workers in this role earn between $20.54 and $52.04 per hour, depending on experience, location, and employer.

What is an Nvidia Research?

An Nvidia Research job involves conducting cutting-edge research in areas like artificial intelligence, computer graphics, and high-performance computing. Researchers work on innovative projects that push the boundaries of technology, often collaborating with academia and industry partners. These roles typically require expertise in machine learning, deep learning, hardware acceleration, or related fields. Team members publish papers, develop prototypes, and contribute to Nvidia's long-term technological advancements.

What are the key skills and qualifications needed to thrive in Nvidia Research?

Excelling in Nvidia Research typically requires a PhD or advanced degree in computer science, electrical engineering, or a related field, with strong expertise in machine learning, computer vision, and deep learning algorithms. Familiarity with programming languages such as Python and C++, and experience using frameworks like TensorFlow or PyTorch, as well as CUDA for GPU computing, are also important. Excellent problem-solving abilities, creativity, and effective collaboration and communication skills help set candidates apart. These skills are crucial for conducting innovative research, collaborating with multidisciplinary teams, and advancing the field of AI and graphics technology.

What opportunities for career growth and advancement are available within Nvidia Research?

Nvidia Research offers a dynamic environment where researchers can grow by taking on increasingly complex projects, publishing groundbreaking work, and collaborating with world-class experts. Many team members advance to senior and principal researcher roles or transition into leadership positions overseeing multi-disciplinary research initiatives. Nvidia also encourages continuous learning through conferences, workshops, and internal seminars, which further support professional development. As the company continues to expand its research footprint, there are ample opportunities to shape new areas of innovation and make a lasting impact on both the organization and the industry.

What are the most commonly searched types of Nvidia Research jobs in Arizona? The most popular types of Nvidia Research jobs in Arizona are:
What cities in Arizona are hiring for Nvidia Research jobs? Cities in Arizona with the most Nvidia Research job openings:
Infographic showing various Nvidia Research job openings in Arizona as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $79,545 per year, or $38.2 per hour.

$96K - $126K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 20 days ago


Honeywell rating

8.3

Company rating: 8.3 out of 10

Based on 186 frontline employees who took The Breakroom Quiz

67th of 537 rated manufacturers


Job description


As a Lead AI Engineer at Honeywell Aerospace, you will provide expert-level technical leadership in the development of AI-driven engineering design tools and physics-based machine learning models. This role focuses on applying artificial intelligence, physics-informed methods, and surrogate modeling to accelerate the design and analysis of aerospace mechanical systems, including engines, wheels and brakes, environmental control systems, and other complex components. You will help shape the next generation of simulation and analysis capabilities by integrating AI with traditional computational tools such as CFD, FEA, and multi-physics solvers.
In this role, you will craft and lead multi-year research strategies, develop advanced AI surrogates and Physics-AI models, and transition these technologies into engineering workflows across Honeywell Aerospace. You will collaborate with cross-functional teams and global research partners, pursue both internal and government research funding, and guide execution from concept through integration. Your work will significantly impact engineering efficiency, product performance, and Honeywell Aerospace 's leadership in AI-enabled engineering design.
You will report directly to the manager of the AI Research Group and work from our Phoenix, AZ location on a hybrid schedule.
Responsibilities
Key Responsibilities
• Lead development of advanced Physics-AI models and surrogate models to accelerate engineering workflows for CFD, thermal analysis, structural analysis, and system-level simulation.
• Define and drive the AI strategy for engineering design, with a focus on physics-informed neural networks (PINNs), digital twins, and high-fidelity model surrogates.
• Research, develop, and validate new AI methodologies for multi-physics modeling of aerospace components such as engines, wheels and brakes, and mechanical actuation systems.
• Utilize and advance state-of-the-art NVIDIA simulation and AI acceleration tools, including Physics NEMO and related model-based AI frameworks.
• Collaborate closely with engineering teams to integrate surrogate models into design processes, enabling faster trade studies, optimization, and predictive analysis.
• Lead technical execution across internal and government-sponsored R&D projects and contribute to proposal development.
• Mentor AI engineers and researchers, fostering excellence, innovation, and deep technical growth.
Qualifications
US PERSON REQUIREMENT
Due to compliance with U.S. export control laws and regulations, candidate must be a U.S. Person, which is defined as, a U.S. citizen, a U.S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have the ability to obtain an export authorization.
You Must Have
• Bachelor's or Master's degree in aerospace engineering, mechanical engineering, or a related engineering discipline.
• Minimum 5 years of experience developing AI models for physics-based simulation, engineering analysis, multi-physics modeling, or surrogate modeling.
• Minimum of 10 years working on design and simulation of physics of engineering systems involving concepts such as Computational Fluid Dynamics or Structural Analysis
• Experience leading technical teams and mentoring junior engineers.
• Expert level expertise with NVIDIA's physics-accelerated AI tools such as Physics NEMO, Modulus, Warp, or similar platforms for physics-informed deep learning
We Value
• Proficiency in Python and machine learning frameworks such as PyTorch and TensorFlow.
• Experience working in structured machine learning deployment environments i.e. MLOps workflows
• Deep knowledge of CFD, structural analysis, thermal modeling, or multi-physics simulation, and the ability to couple these with AI-based surrogates.
• Experience deploying AI models into engineering design workflows or digital engineering ecosystems.
• Strong understanding of current research in physics-informed ML, scientific machine learning, and surrogate modeling at major conferences and journals.
About us:
Join a company that's reintroducing itself to the aviation community we've helped advance for more than a century. At Honeywell Aerospace (NASDAQ: HONA), we're launching as an independent, publicly traded aerospace and defense company built on a legacy of operational excellence and mission-focused execution.
Our new brand identity pairs that heritage with real momentum, as we build technology that helps pilots navigate with confidence, aircraft operate more efficiently, and operators stay ahead of change. With our systems on board 90% of the world's aircraft, your work here has reach that's rare to find anywhere else.
Focusing on our customers, investing in innovation, and building a culture of accountability and performance is how we're shaping what comes next.
Every horizon. Every mission. Every day.
Benefits:
Beyond a performance-driven salary, you'll work alongside dedicated experts on technology that's advancing aviation. As a Honeywell Aerospace employee, you're eligible for a comprehensive benefits package that includes:
  • Employer-subsidized medical, dental, vision and life insurance
  • Short-term and long-term disability coverage
  • 401(k) match, flexible spending accounts and health savings accounts
  • Employee assistance program and educational assistance
  • Parental leave and 12 paid holidays
  • Paid time off for vacation, personal and sick time

Explore your benefits: https://honeywellaerospacebenefits.com/
POSTING TIMELINE
The application period for the job is estimated to be 40 days from the job posting date; however, this may be shortened or extended depending on business needs and the availability of qualified candidates.

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About Honeywell

Sourced by ZipRecruiter

Honeywell is charging into the Industrial IoT revolution with the establishment of Honeywell Connected Enterprise (HCE), building on our heritage of invention and deep, on-the-ground industry expertise. HCE is the leading industrial disruptor, building and connecting software solutions to streamline and centralize the assets, people and processes that help our customers make smarter, more accurate business decisions. Moving at the speed of software, we are creating, innovating and delivering solutions fast, challenging the way things have always been done, piloting new ways for all of us to work, and expecting our successes to set new standards for our customers and for Honeywell. The Chief Architect for Honeywell Connected Enterprise will lead a team of architects and system engineers responsible for the design of applications and infrastructure that deliver high value outcomes for customers in industrial, buildings, distribution centers, and aerospace vertical markets. The Chief Architect will work directly with leadership, development teams, and offering management to design well integrated solutions that utilize software platforming to encourage reuse and speed to market.

Industry

Furniture manufacturing

Company size

10,000+ Employees

Headquarters location

Charlotte, NC, US

Year founded

1906