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Nvidia Machine Learning Jobs in Michigan (NOW HIRING)

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Nvidia Machine Learning information

See Michigan salary details

$22.2K

$37.1K

$76.7K

How much do nvidia machine learning jobs pay per year?

As of Jun 9, 2026, the average yearly pay for nvidia machine learning in Michigan is $37,116.00, according to ZipRecruiter salary data. Most workers in this role earn between $28,300.00 and $40,100.00 per year, depending on experience, location, and employer.

What is a Nvidia Machine Learning job?

A Nvidia Machine Learning job involves developing and optimizing AI models, deep learning frameworks, and GPU-accelerated applications. Engineers in this role work on cutting-edge research, building scalable ML solutions, and improving performance on Nvidia hardware like GPUs and AI accelerators. They collaborate with software and hardware teams to enhance AI capabilities across industries such as gaming, healthcare, and autonomous systems. Strong coding skills in Python, C++, and experience with ML frameworks like TensorFlow or PyTorch are often required.

What are the key skills and qualifications needed to thrive in the Nvidia Machine Learning position, and why are they important?

To thrive in an Nvidia Machine Learning role, a deep understanding of machine learning algorithms, proficiency in programming languages like Python or C++, and a solid background in mathematics or computer science are essential. Experience with Nvidia's CUDA, TensorRT, cuDNN, and familiarity with modern deep learning frameworks such as TensorFlow or PyTorch are highly valued, as are relevant certifications in AI or data science. Strong problem-solving skills, teamwork, and effective communication distinguish top candidates in collaborative, fast-paced environments. These skills are crucial for developing and optimizing AI solutions that leverage Nvidia’s advanced hardware and software platforms.

What are some common challenges faced by professionals in Nvidia Machine Learning roles?

One common challenge in Nvidia Machine Learning roles is optimizing models to fully leverage GPU architectures for both performance and efficiency, which requires continuous learning as the technology rapidly evolves. Team members often work on complex, large-scale projects that demand close collaboration across software, hardware, and research divisions. Navigating the fast pace of innovation and contributing effectively to cross-functional teams is essential for success. However, these challenges also make the role exciting and offer excellent opportunities for professional growth and hands-on experience with state-of-the-art AI solutions.

What are the most commonly searched types of Nvidia Machine Learning jobs in Michigan? The most popular types of Nvidia Machine Learning jobs in Michigan are:
What are popular job titles related to Nvidia Machine Learning jobs in Michigan? For Nvidia Machine Learning jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Nvidia Machine Learning jobs in Michigan look for? The top searched job categories for Nvidia Machine Learning jobs in Michigan are:
Engineering Specialist, Digitalization & AI

Engineering Specialist, Digitalization & AI

Eaton

Southfield, MI • On-site

$122K - $179K/yr

Full-time

Medical, Retirement

Posted 7 days ago


Eaton rating

7.5

Company rating: 7.5 out of 10

Based on 208 frontline employees who took The Breakroom Quiz

246th of 516 rated manufacturers


Job description

Eaton's CTO Corporate Technology Office division is currently seeking a Engineering Specialist, Digitalization & AI. The preference for this role is open to a hybrid work schedule out of Southfield, MI however we will consider candidates at any Eaton site within the US or remote.
The expected annual salary range for this role is $122000 - $179000 a year.
Please note the salary information shown above is a general guideline only. Salaries are based upon candidate skills, experience, and qualifications, as well as market and business considerations.
What you'll do:
Position Overview:
The Digital Engineering team is currently seeking an Engineering Specialist - Digitalization & AI to support AI-enabled engineering transformation initiatives across the enterprise. Eaton's Digital Engineering is a corporate RDE function within Eaton's Corporate CTO office, responsible for innovative and breakthrough design strategy development for Eaton's products and services. You will collaborate across divisions, CoEs, product teams, IT, and global engineering groups to architect, develop, and industrialize AI and digital engineering technologies supporting Eaton's future products and platforms.
With focus on delivering value, the AI & Engineering Digitalization Specialist will combine engineering domain expertise and AI to develop production-ready workflows spanning requirements, architecture, design, simulation, test, and manufacturing, increasing engineering throughput and product quality.
Making what matters work at Eaton takes the passion of every employee around the world. We create an environment where creativity, invention and discovery become reality, each day. It's where bold, bright professionals like you can reach your full potential-and where you can help us reach ours.
In this role you will:
• Create Agentic AI design models performing end-to-end design optimization, meshing, simulation, constraint checks, manufacturability scoring, and design iteration
• Integrating AI into traditional engineering tools for RM, DFMEA, DFSS, etc. to enhance engineers productivity and process efficiency.
• Develop Multi-physics digital twins. Drive cross-domain model integration for electromagnetics, thermal, structural, fluid, and control systems, aligned with NVIDIA Omniverse SimReady, and similar initiatives.
• Build Physics AI co-sim engines combining PINNs + FE solvers + surrogate inference to automate geometric optimization loops and real-time design guidance.
• Build internal CAD-aware transformer/GNN models trained on Eaton's entire 3D portfolio to enable design retrieval, completion, and conditional regeneration.
• Deploying enterprise-scale digital twins for design, operations, and manufacturing with connected digital threads.
Qualifications:
Required (Basic) Qualifications:
• Master's or PhD in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, Computer Science, Applied Mathematics, or related field
• Minimum of five (5) years developing AI/ML models, CAE workflows, or digital twin systems
• Minimum of three (3) years of industry experience in aerospace, electrical systems design, or relevant engineering discipline.
• Must be able to work in the United States without corporate sponsorship now and in the future.
Preferred Qualifications
• PhD in an engineering discipline or related field from an accredited institution.
• Demonstrated strong experience in product development using high fidelity multi-physics models.
• Expertise in artificial intelligence, physics-informed machine learning, and digital twins.
• Experience in multiple CAE tools including ANSYS, Abaqus, MATLAB Simulink, or similar software applications is a plus.
Skills:
Position Criteria
• Forward thinking, fast learning, and excellent problem-solving skills.
• Strong written and verbal communication skills in dealing with senior management, colleagues, customers, and suppliers.
• Ability to multi-task and work in collaborative teams to achieve organizational goals.
• Business and/or research acumen with a proven record of formulating value proposition.
We are committed to ensuring equal employment opportunities for all job applicants and employees. Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.
Eaton believes in second chance employment. Qualified applicants with arrest or conviction history will be considered regardless of their arrest or conviction history, consistent with the Los Angeles County Fair Chance Ordinance, the California Fair Chance Act and other local laws.
You do not need to disclose your conviction history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if Eaton is concerned about conviction that is directly related to the job, you will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report.
To request a disability-related reasonable accommodation to assist you in your job search, application, or interview process, please call us at 1-800-836-6345 to discuss your specific need. Only accommodation requests will be accepted by this phone number.
We know that good benefit programs are important to employees and their families. Eaton provides various Health and Welfare benefits as well as Retirement benefits, and several programs that provide for paid and unpaid time away from work. Click here for more detail: Eaton Benefits Overview. Please note that specific programs and options available to an employee may depend on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements.

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About Eaton

Sourced by ZipRecruiter

Industry

Electrical equipment, appliance, and component manufacturing

Company size

10,000+ Employees

Headquarters location

Cleveland, OH, US