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Nvidia Engineering Jobs in Phoenix, AZ (NOW HIRING)

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Director, Platform Engineering

Tempe, AZ · On-site

$160 - $270/hr

... NVIDIA Holoscan or similar accelerated computing ecosystemsExperience building internal developer platforms, AI sandboxes, shared engineering services, or model governance frameworksExperience with ...

New

Fox

Director, Platform Engineering

Tempe, AZ

Experience with NVIDIA Holoscan or similar accelerated computing ecosystems * Experience building internal developer platforms, AI sandboxes, shared engineering services, or model governance ...

Honeywell International, Inc.

Lead AI Engineer

Phoenix, AZ · On-site

$96K - $126K/yr

... 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 ...

Prosum Inc.

Sr. Machine Learning Engineer

Phoenix, AZ · On-site

$150K - $198K/yr

Our client is seeking a Sr. Machine Learning Engineering for a direct hire role to sit in North ... Evaluate and implement performance improvements using NVIDIA GPU technologies and profiling tools.

New

CommonSpirit Health

Solution Architect I

Phoenix, AZ

$62.50 - $82.50/hr

... NVIDIA GPU resources. This includes maintaining and tuning PowerStore pNFS storage, PowerScale ... engineering portfolios/platforms, and to support high-performance computing architecture, in ...

CommonSpirit Health

Solution Architect I

Phoenix, AZ

$62.50 - $82.50/hr

... NVIDIA GPU resources. This includes maintaining and tuning PowerStore pNFS storage, PowerScale ... engineering portfolios/platforms, and to support high-performance computing architecture, in ...

Mercury Systems

Principal Electrical Engineer

Phoenix, AZ

$130K - $159K/yr

Mercury Systems is seeking the best and brightest engineering talent to help us deliver cuttingedge ... Experience developing advanced network interface board designs using components from Nvidia ...

mercury

Principal Electrical Engineer

Phoenix, AZ

$130K - $159K/yr

Mercury Systems is seeking the best and brightest engineering talent to help us deliver cuttingedge ... Experience developing advanced network interface board designs using components from Nvidia ...

TSMC

Robotics Automation Engineer

Phoenix, AZ · On-site

Collaborate with external designers and Facility engineering teams to guide the deployment of ... Familiar to the robotic simulation and training system such as ROS2, Nvidia Omniverse and ISSAC Sim ...

Mercury Systems

Principal Electrical Engineer

Phoenix, AZ · On-site

$130K - $159K/yr

Mercury Systems is seeking the best and brightest engineering talent to help us deliver cutting ... Experience developing advanced network interface board designs using components from Nvidia ...

TSMC

Robotics Automation Engineer

Phoenix, AZ

Collaborate with external designers and Facility engineering teams to guide the deployment of ... Familiar to the robotic simulation and training system such as ROS2, Nvidia Omniverse and ISSAC Sim ...

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Nvidia Engineering information

See Phoenix, AZ salary details

$46.2K

$145.8K

$172.8K

How much do nvidia engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for nvidia engineering in Phoenix, AZ is $145,827.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,700.00 and $171,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Nvidia engineer, and why are they important?

To thrive in Nvidia Engineering, candidates typically need strong proficiency in computer engineering, software development, and a solid understanding of hardware architecture, often backed by a relevant degree such as Electrical Engineering or Computer Science. Familiarity with tools like CUDA, C/C++, Python, and version control systems, as well as experience with GPU programming, are highly valued, and certifications such as Nvidia's Deep Learning Institute credentials can enhance a candidate's profile. Excellent problem-solving, team collaboration, and communication skills set top performers apart in this role. These skills and qualifications enable engineers to contribute effectively to complex, innovative projects that drive Nvidia's technological advancements.

What is an Nvidia engineer?

An Nvidia Engineering job involves designing, developing, and optimizing hardware or software solutions in areas such as graphics processing, AI, and high-performance computing. Engineers at Nvidia work on cutting-edge technologies, including GPUs, deep learning frameworks, and system architecture. Roles vary from hardware design and verification to software development and AI research, depending on expertise. Strong skills in programming, computer architecture, and problem-solving are typically required.

What types of projects do Nvidia engineers typically work on, and how is teamwork structured within the engineering department?

Nvidia Engineers commonly engage in projects related to GPU development, AI and deep learning solutions, software driver optimization, and next-generation hardware innovation. Project teams are often multidisciplinary, bringing together software, hardware, and systems engineers to collaborate closely on end-to-end product development. Engineers frequently work in agile, fast-paced environments, attend regular team stand-ups, and participate in cross-functional meetings. This collaborative structure fosters creativity, accelerates problem-solving, and ensures high-quality product delivery while offering team members exposure to diverse technologies and career growth opportunities.

What are the most commonly searched types of Nvidia Engineering jobs in Phoenix, AZ? The most popular types of Nvidia Engineering jobs in Phoenix, AZ are:
What are popular job titles related to Nvidia Engineering jobs in Phoenix, AZ? For Nvidia Engineering jobs in Phoenix, AZ, the most frequently searched job titles are:
What job categories do people searching Nvidia Engineering jobs in Phoenix, AZ look for? The top searched job categories for Nvidia Engineering jobs in Phoenix, AZ are:
Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Phoenix, AZ as of July 2026, with employment types broken down into 89% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $145,827 per year, or $70.1 per hour.

Advanced AI Engineer - Mechanical Engineering

Honeywell International, Inc.

Tempe, AZ • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 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 538 rated manufacturers

Job description


As an Advanced AI Engineer at Honeywell Aerospace, you will provide technical contributions to 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 wheels and brakes, fuel systems, 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 develop advanced AI surrogates and Physics-AI models, and contribute to the 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 contribute to the execution from concept through integration. Your work will impact engineering efficiency, product performance, and Honeywell's leadership in AI-enabled engineering design.
Key Responsibilities
  • Contribute to the creation of advanced Physics-AI models and surrogate models to accelerate engineering workflows for CFD, thermal analysis, structural analysis, and system-level simulation.
  • Create scripted FEA or CFD models to generate training data over parameter and load condition spaces.
  • Suggest ideas to drive the AI strategy for engineering design, with a focus on physics-informed neural networks (PINNs), digital twins, and high-fidelity model surrogates.
  • Research and test new AI methodologies for multi-physics modeling of aerospace components such as engines, wheels and brakes, and mechanical actuation systems.
  • Suggest improvements to current processes for efficient data generation, data handling, and model utilization.
  • 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.
  • Contribute to technical execution across internal and government-sponsored R&D projects and contribute to proposal development.
  • Assist with outreach to traditional design and analysis engineering functions.

Qualifications
YOU MUST HAVE
  • Bachelor's degree from an accredited institution in technical disciplines such as the sciences, technology, engineering or mathematics.
  • 2 years of experience developing AI models for physics-based simulation, engineering analysis, multi-physics modeling, or surrogate modeling. Experience in a graduate program may be included.
  • 3 years with simulation scripting (Abaqus Python scripting interface, Ansys PyAnsys or APDL or similar open-source tools).
  • 5 years working on design and simulation of physics of engineering systems involving concepts such as Computational Fluid Dynamics or Structural Analysis
  • Experience mentoring others in specialty areas.
  • Experience with NVIDIA's physics-accelerated AI tools such as Physics NEMO, Modulus, Warp, or similar platforms for physics-informed deep learning

WE VALUE
  • Bachelor's or Master's degree in aerospace engineering, mechanical engineering, or a related engineering discipline.
  • Proficiency in Python and machine learning frameworks such as PyTorch and TensorFlow.
  • Experience with JAX for differentiable models
  • Experience working in structured machine learning deployment environments i.e. MLOps workflows
  • Experience with CFD, structural analysis, thermal modeling, or multi-physics simulation, and the ability to couple these with AI-based surrogates.
  • Experience with AI model architectures used for surrogate modeling, such as but not limited to MeshGraphNets, Neural Operators, Physics-Informed and Physics-Attention models.
  • Experience with model visualization through tools such as PyVista, Matplotlib, Plotly, and others.
  • Awareness of considerations for deploying AI models into engineering design workflows or digital engineering ecosystems.
  • Awareness of current research in physics-informed ML, scientific machine learning, and surrogate modeling at major conferences and journals.

ABOUT HONEYWELL AEROSPACE
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 OF WORKING FOR HONEYWELL AEROSPACE
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/
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. Job Posting Date: August 6, 2026
Sponsorship
We are currently not sponsoring applicants for work visas for this position. Applicants must be currently authorized to work in the United States on a full-time basis.
#LI-Hybrid
U.S. PERSON REQUIREMENTS
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.

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About Honeywell

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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

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