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Nvidia Engineering Jobs in Michigan (NOW HIRING)

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 ...

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 ...

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 ...

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

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 ...

Arrow Electronics

Sr Engineer (Embedded) - Einfochips Inc

Novi, MI · On-site

$87.90 - $121/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 ...

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Nvidia Engineering information

See Michigan salary details

$40.5K

$128K

$151.7K

How much do nvidia engineering jobs pay per year?

As of Aug 19, 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 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 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 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 86% Full Time, 7% Part Time, 2% Temporary, 3% Contract, and 2% 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.

Next Generation Middleware Enabler Engineer

Astemo Ltd

Farmington Hills, MI • On-site

Full-time

Re-posted 22 days ago

Job description

Company Name:
ASTEMO AMERICAS, INC.
Job Family:
Engineering
Job Description:
Position Overview and Objective
Astemo's Advanced Development Division is hiring an Engineer II to develop next-generation middleware enablers that make AI functions safer, more robust, more observable, and easier to evolve on production vehicle platforms. The engineer will work across multiple areas as priorities evolve and is expected to contribute to both current development needs and emerging software infrastructure initiatives.
Job Responsibilities:
  • Design and develop advanced run-time middleware libraries that improve the safety, robustness, and observability of AI-based functions under real-world conditions.
  • Develop orchestration, scheduling, and fallback approaches for AI workloads across heterogeneous compute resources, subject to real-time and power/thermal constraints.
  • Build infrastructure and interfaces that enable safe in-vehicle evaluation of new AI models and richer signal exposure for downstream systems.
  • Prototype concepts on embedded SoCs, benchmark them under realistic workloads, and perform system-level trade-off studies across compute, memory, timing, and power dimensions.
  • Collaborate with cross-functional teams to define validation approaches and transition advanced work into the production stack.

Qualifications:
  • Strong programming proficiency in C/C++ (modern C++ preferred) and Python.
  • Solid foundation in operating systems, concurrency, real-time constraints, and inter-process communication on Linux and/or RTOS environments.
  • Working knowledge of automotive ECU hardware, sensors, peripheral interconnects, and System-on-Chip architectures.
  • Familiarity with model behavior characteristics relevant to safety and robustness - uncertainty, calibration, distribution shift, failure modes.
  • Strong debugging, profiling, and analysis skills using JTAG/trace tools, logging frameworks, and performance profilers.
  • Flexibility and willingness to work across multiple software layers as project needs evolve.
  • Effective communication and presentation skills, with NVIDIA Drive OS and toolchain experience a plus.

Additionally, the ability to work independently with minimal direction is required as are strong verbal and written communication skills. Experience with PCs and application software, such as MS Office tools, is also required.
Education: Master's or Ph.D. degree in Computer Science or Electrical Engineering
Experience: Minimum of 3+ years with Masters in relevant industrial experience is required, or Ph.D.
Job level is determined by various factors such as organization size, responsibility, career stage, and capabilities.
Supervisory Responsibilities: n/a
Working conditions:
  • Physical Demands: Required to sit or stand for long periods of time. The employee may occasionally lift and/or move up to 25 pounds.
  • Travel: Domestic and international may be required as needed. The candidate will occasionally need to travel to multiple global locations to support project development.

Equal Opportunity Employer (EOE) - Qualified applicants will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender, identity, disability, protected veteran status and national origin.
At Astemo, we're challenging the status quo with the power of diversity, inclusion, and collaboration. Our goal is to build an inclusive work environment that celebrates the differences of our employees. We want to ensure that every employee feels valued, respected and empowered. We don't just accept difference-we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products, and our community. Astemo is proud to be an equal opportunity employer.
If you need a reasonable accommodation to apply for a job at Astemo, please send the nature of the request and contact information to am-jobs@hitachiastemo.com when applying for the position.

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