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Nvidia Engineering Jobs in Michigan (NOW HIRING)

Utilidata

Embedded Firmware Engineer

Ann Arbor, MI · On-site

$135K - $175K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Establish and enforce firmware engineering standards, including coding conventions, testing ...

Utilidata

Embedded Firmware Engineer

Ann Arbor, MI · On-site

$135K - $175K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Establish and enforce firmware engineering standards, including coding conventions, testing ...

Utilidata

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

... NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them. We are expanding our engineering team and looking for a ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... This position works cross-functionally with product, engineering, and data science teams and is ...

Utilidata

AI Infrastructure Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... This position works cross-functionally with product, engineering, and data science teams and is ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site +1

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Strong software engineering fundamentals, with the depth to evaluate code quality and set ...

Optimal Inc.

GPU Platform Infrastructure Engineer

Warren, MI · On-site

$100K - $131K/yr

... engineering workloads Experience with monitoring, observability, and reporting tools Strong scripting and automation skills using Python, Bash, or similar languages Familiarity with NVIDIA GPU ...

Optimal Inc.

GPU Platform Infrastructure Engineer

Warren, MI · On-site

$100K - $131K/yr

... engineering workloads Experience with monitoring, observability, and reporting tools Strong scripting and automation skills using Python, Bash, or similar languages Familiarity with NVIDIA GPU ...

Utilidata

Principal Data Engineer

Ann Arbor, MI · On-site

$170K - $210K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... Strong software engineering fundamentals, with the depth to evaluate code quality and set ...

Utilidata

VP, AI & Applications

Ann Arbor, MI · On-site +1

$230K - $290K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... The VP partners with the VP, Engineering on the platform that runs these methods in production, and ...

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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 Jul 2, 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 in the Nvidia Engineering position, 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 Engineering job?

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 engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, hardware engineering, or systems architecture at leading technology companies can earn $500,000 or more annually, often including bonuses and stock options. These roles typically require extensive experience, advanced skills, and often involve leadership responsibilities or working on high-impact projects.

Is it hard to get hired at NVIDIA?

Getting hired as an engineer at NVIDIA can be competitive due to the company's reputation and high standards. Candidates typically need strong technical skills, relevant experience, and a solid understanding of areas like GPU architecture, software development, or AI. The hiring process often involves multiple interviews and technical assessments.

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.

How much do NVIDIA engineers get paid?

NVIDIA engineers' salaries vary based on experience, role, and location, but the average annual salary for software engineers at NVIDIA typically ranges from $100,000 to $150,000. Senior engineers and those with specialized skills or advanced degrees can earn higher compensation, often including bonuses and stock options. The company also values technical expertise in areas like GPU architecture, AI, and deep learning.

How much do NVIDIA application engineers make?

NVIDIA application engineers typically earn between $80,000 and $130,000 annually, depending on experience, location, and level. Salaries can increase with specialized skills in GPU programming, deep learning, and related tools, and may include bonuses and benefits. Entry-level positions generally start lower, while senior roles can exceed this range.
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:
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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 June 2026, with employment types broken down into 89% Full Time, and 11% Temporary. Highlights an 78% In-person, 3% Hybrid, and 19% Remote job distribution, with an average salary of $128,009 per year, or $61.5 per hour.

K11 - Senior Embedded Linux Engineer

Dorleco

Warren, MI • On-site

Other

Posted 3 days ago

Job description

About the job K11 - Senior Embedded Linux Engineer
Role Overview
We are looking for skilled Embedded Linux Engineers to work on a next-generation Software Defined Vehicle (SDV) program built on NVIDIA Thor. Engineers will focus on new feature development across communication, security, power management, and Linux OS services, while ensuring compliance with SDV requirements and successful execution of ITCG test cases.
Key Responsibilities

  • Design and develop new software features for next-generation automotive platforms on Linux OS
  • Implement and enhance functionality in the areas of:
    • Communication frameworks
    • Security services and enforcement
    • Power management and system state transitions
  • Develop platform services aligned with SDV architectural requirements
  • Ensure solutions meet ITCG compliance, including:
    • Full execution and pass of relevant ITCG test cases
    • Addressing gaps identified during validation and audits
  • Collaborate with cross-functional teams including system architecture, hardware, security, and validation
  • Support platform bring-up, integration, and scalability on NVIDIA Thor
Required Skills & Experience
  • Strong experience with Embedded Linux development
  • Kernel, drivers, system services, and user-space frameworks
  • Hands-on experience with NVIDIA automotive platforms, preferably NVIDIA Thor
  • Expertise in communication stacks, security frameworks, and power management
  • Proficiency in C/C++, with scripting experience (bash, Python) preferred
  • Understanding of SDV concepts and architectures
  • Experience ensuring compliance with automotive standards and test frameworks, including ITCG
Nice to Have
  • Experience with secure boot, key management, and hardware security modules
  • Exposure to containerization or virtualization in automotive contexts
  • Knowledge of over-the-air (OTA) update systems and lifecycle management
  • Experience working in fast-paced next-generation platform development programs

Apply