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Nvidia Engineering Jobs in Michigan (NOW HIRING)

Arrow Electronics, Inc.

Hardware Engineer

Benton Harbor, MI · On-site

$79K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along ... Please visit www.einfochips.com for our portfolio of product engineering services across various ...

EDAG Mexico

Business Development Manager

Troy, MI · On-site

... and NVIDIA Omniverse solutions. * Maintain accurate pipeline management, forecasting, and CRM ... Bachelor's degree in Business, Engineering, Manufacturing, Industrial Engineering, or a related ...

New

Arrow Electronics

Hardware Engineer

Benton Harbor, MI · On-site

$79K - $126K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along ... Please visit www.einfochips.com for our portfolio of product engineering services across various ...

Arrow Electronics

Hardware Engineer

Benton Harbor, MI · On-site

$79.90 - $126.50/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... NVIDIA, NXP, Analog Devices, Texas Instruments, Amazon, Microsoft and Google to name a few. Along ... Please visit www.einfochips.com for our portfolio of product engineering services across various ...

Astemo Ltd

Sr. Embedded Software Engineer

Farmington Hills, MI · On-site

$122K - $159K/yr

Engineering Position Overview and Objective Astemo's Advanced Development Division is hiring an ... Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a ...

Astemo

Sr. Embedded Software Engineer

Farmington Hills, MI

$122K - $159K/yr

Engineering Position Overview and Objective Astemo's Advanced Development Division is hiring an ... Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a ...

Tata Consultancy Services

Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

Tata Consultancy Services

AI Researcher

Detroit, MI · On-site

Develop real-time perception and decision systems using ROS, OpenCV, and NVIDIA Jetson/Isaac SDKs ... Partner with cross-functional teams in AI, robotics, and systems engineering to co-create ...

Utilidata

Director, Talent Management

Ann Arbor, MI · On-site +1

$160K - $210K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... and firmware engineering, from intake through offer and close * Build the in-house TA ...

Utilidata, Inc.

Director, Talent Management

Ann Arbor, MI · On-site

$160 - $210/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... and firmware engineering, from intake through offer and close * Build the in-house TA ...

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Showing results 41-60

All JobsNvidia Engineering JobsNvidia Engineering Jobs in Michigan

Nvidia Engineering information

See Michigan salary details

$40.5K

$128K

$151.7K

How much do nvidia engineering jobs pay per year?

As of Aug 16, 2026, the average yearly pay for nvidia engineering in Michigan is $128,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,500.00 and $150,800.00 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 Michigan?

The most popular types of Nvidia Engineering jobs in Michigan are:

What are popular job titles related to Nvidia Engineering jobs in Michigan?

For Nvidia Engineering jobs in Michigan, the most frequently searched job titles are:

What job categories do people searching Nvidia Engineering jobs in Michigan look for?

The top searched job categories for Nvidia Engineering jobs in Michigan are:

What cities in Michigan are hiring for Nvidia Engineering jobs?

Cities in Michigan with the most Nvidia Engineering job openings:

Nvidia Engineering jobs near you
Infographic showing various Nvidia Engineering job openings in Michigan as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 1% Temporary, 5% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $128,009 per year, or $61.5 per hour.

Chief Engineer, AI Product Creation

Ford Motor Company

Dearborn, MI • On-site

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 7 days ago

Job description


We are the movers of the world and the makers of the future. We get up every day, roll up our sleeves, and build a better world - together. At Ford, we're all a part of something bigger than ourselves. Are you ready to change the way the world moves?
Product Development at Ford is undergoing an exciting evolution as we integrate advanced digital technologies, machine learning, and smart automation into our global processes. Our mission is to transition toward a highly integrated, digital-first engineering ecosystem that balances our signature predictability and repeatability with modern computational speed and agility.
In this position...
The Chief Engineer, AI Product Creation will lead the strategic integration of next-generation digital tools, advanced analytics, and intelligent systems across Ford's Global Product Development System (GPDS) to optimize engineering workflows, accelerate development cycles, and drive product excellence.
In this highly strategic and transformational role, you will oversee the architectural integration of AI across the entire Ford product creation lifecycle. As the lead for AI Product Creation, you will recommend investments, and design and execute the systems that allow us to optimize our engineering workflows, leverage historical data assets, and enhance virtual validation. You will lead a global, cross-functional effort to modernize our systems, working across active and future vehicle programs to deploy next-generation tools. This role requires a rare combination of deep product development logic, a strong grasp of modern AI technologies, and the collaborative leadership necessary to drive cultural and technological change in a fast-paced, high-stakes and dynamic environment.
Responsibilities
What you'll do...
NOW: Tactical Efficiency & Optimization
  • Identify & Map Bottlenecks: Assess the value stream mapping of existing GPDS processes to pinpoint high-waste physical bottlenecks suitable for immediate AI-enabled optimization.

  • Deploy Immediate-Value AI Tools: Champion and scale the rollout of tactical AI accelerators, including LLM-based coding assistants for software integration and automated program tracking tools (a virtual program manager).

  • Execute Rolling Pilots: Collaborate with active vehicle program teams to implement rolling pilots of generative engineering and advanced simulation tools, delivering immediate efficiency gains to in-flight programs.

NEAR: System Integration & Concurrent Engineering
  • Architect a data lake: Drive the definition and implementation of a data system to connect cross-functional work systems to enable real-time, closed-loop analysis.

  • Scale Predictive Simulations and Digital Twins: Expand the use of advanced predictive simulation models aimed at reducing physical test iterations and accelerate validation loops across key vehicle attributes and development workstreams

  • De-Risk Manufacturing Tooling: Leverage advanced predictive analytics to optimize long-lead manufacturing tooling designs, proactively identifying and correcting physical manufacturing constraints early in the design cycle.

FAR: Deliver the Aspirational Target
  • Establish a Digital-First Development Cycle: Lead the ultimate transition to a highly compressed, digital-first development cycle that significantly reduces time-to-market while improving quality.

  • Foster a Digitally Literate Engineering Culture: Drive a culture of digital literacy and advanced tool adoption across the global engineering community, establishing next-generation benchmarks for the industry that every engineer at Ford is empowered by intelligent, generative design tools.

Qualifications
You'll have...
  • Bachelor's degree in Engineering, Computer Science, Data Science, or a related quantitative technical field.

  • 10-15 years of experience in complex product development, systems engineering, or technical program management (ideally within automotive, aerospace, robotics, or high-tech hardware/software industries).

  • Proven experience leading large-scale digital transformation initiatives, specifically deploying AI, machine learning, or high-fidelity simulation technologies within a physical engineering environment.
  • Deep understanding of product development lifecycles, milestone-driven development systems, and complex hardware-software integration.

Even better, you may have...
  • Master's degree in Artificial Intelligence, Machine Learning, Engineering, or a Master's in Business Administration (MBA).

  • Hands-on experience with modern AI frameworks, physics-informed neural networks (PINNs), or industrial Digital Twin platforms (e.g., NVIDIA Omniverse, Siemens Tecnomatix, or equivalent).

  • Demonstrated experience bridging the gap between software engineers/data scientists and traditional mechanical/manufacturing engineers.

  • Familiarity with generative design software, automated path planning, or predictive supply chain risk orchestration.

  • Exceptional executive presence with strong presentation, verbal, and written communication skills to influence global, cross-functional stakeholders.

  • Agility and the proven ability to guide teams through highly ambiguous, fast-paced transformational journeys under tight deadlines.

What you'll receive in return...
You may not check every box, or your experience may look a little different from what we've outlined, but if you think you can bring value to Ford Motor Company, we encourage you to apply!
As an established global company, we offer the benefit of choice. You can choose what your Ford future will look like: will your story span the globe, or keep you close to home? Will your career be a deep dive into what you love, or a series of new teams and new skills? Will you be a leader, a changemaker, a technical expert, a culture builder...or all of the above? No matter what you choose, we offer a work life that works for you, including:
• Immediate medical, dental, vision and prescription drug coverage
• Flexible family care days, paid parental leave, new parent ramp-up programs, subsidized back-up childcare and more
• Family building benefits including adoption and surrogacy expense reimbursement, fertility treatments, and more
• Vehicle discount program for employees and family members and management leases
• Tuition assistance
• Established and active employee resource groups
• Paid time off for individual and team community service
• A generous schedule of paid holidays, including the week between Christmas and New Year's Day
• Paid time off and the option to purchase additional vacation time.
This position is a leadership level 4.
For more information on salary and benefits, click here:
2026 LL4 Benefits Summary
Candidates for positions with Ford Motor Company must be legally authorized to work in the United States. Verification of employment eligibility will be required at the time of hire.
We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, age, sex, national origin, sexual orientation, gender identity, disability status or protected veteran status.
#LI-Hybrid #LI-WC2
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About Ford

Sourced by ZipRecruiter

At Ford Motor Company, we believe freedom of movement drives human progress. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career and help us define tomorrow's transportation.

Industry

Civil engineering construction

Company size

51 - 200 Employees

Headquarters location

Doral, FL, US

Year founded

1982

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