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Nvidia Engineering Jobs in Michigan (NOW HIRING)

Physical and Spatial AI Engineer III

Detroit, MI · On-site

$57 - $76.50/hr

You'll work alongside talented professionals re-imagining and re-engineering operations and ... Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems ...

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 ...

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 ...

Software Engineer, On Device

Ann Arbor, MI · On-site +1

$120K - $150K/yr

... NVIDIA module, is transforming the way utility companies operate the grid edge and will enable data centers to unlock more compute for the same provisioned power. We are expanding our engineering ...

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 ...

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 ...

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 ...

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 ...

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 ...

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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 Jun 12, 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 engineers make $500,000?

Senior engineers in specialized fields such as software, hardware, or systems engineering at major technology companies can earn $500,000 or more annually, often including bonuses, stock options, and other compensation. Achieving this level typically requires extensive experience, advanced skills, and sometimes leadership roles or executive responsibilities.

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.

Which engineers does NVIDIA hire?

NVIDIA hires a variety of engineers including hardware engineers, software engineers, AI and deep learning engineers, and systems engineers. Candidates typically need strong technical skills, experience with programming languages like C++ and Python, and knowledge of GPU architectures or AI frameworks. The company values innovation, collaboration, and relevant technical certifications or degrees in engineering or computer science.

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 in AI, graphics, or hardware may earn higher compensation, often including bonuses and stock options.
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 cities in Michigan are hiring for Nvidia Engineering jobs? Cities in Michigan with the most Nvidia Engineering job openings:
Infographic showing various Nvidia Engineering job openings in Michigan as of June 2026, with employment types broken down into 94% Full Time, 3% Part Time, and 3% Contract. Highlights an 83% Physical, 8% Hybrid, and 9% Remote job distribution, with an average salary of $128,009 per year, or $61.5 per hour.
Physical and Spatial AI Engineer III

Physical and Spatial AI Engineer III

Deloitte

Grand Rapids, MI

$55.25 - $74.25/hr

Other

Posted 22 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services


Job description

Physical & Spatial AI, Cloud Integrated Infrastructure Engineer III
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals re-imagining and re-engineering operations and environments that are critical to business performance.
The role is focused on helping clients improve operational efficiency, accelerate digital transformation, modernize OT environments, and unlock new value through digital twin, spatial intelligence, and Physical AI-enabled solutions.
We are seeking a candidate with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate brings a blend of consulting leadership, industry credibility, technical fluency, and go-to-market vision, with experience aligned to Nvidia and/or Google platform ecosystems for Physical and Spatial AI technologies. This role will be supporting clients in environments such as data centers, sports venues and consumer and retail operations.

Recruiting for this role ends on 06/01/2026.


Work You'll Do
The ideal candidate will bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and implementation, manage team progress, and ensure quality of work products. The role also includes mentoring, sales support pursuits, and contribution to market eminence.
* Advise clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation
* Translate business and operational priorities into transformation roadmaps and technical strategies
* Guide clients on platform choices and ecosystem decisions aligned to NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation platforms in enterprise transformation
* Architect client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation
* Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers
* Define technical architectures for environments requiring coordination across sensing, telemetry, OT systems, edge infrastructure, AI/ML services, spatial context, and enterprise applications
* Implement integration of physical/spatial AI capabilities into operational workflows, including OT systems, IoT platforms, facilities systems, robotics-related ecosystems, and enterprise platforms
* Develop differentiated points of view, offerings, demos, and proposal content that position Deloitte as a preferred transformation partner
* Help shape Deloitte's market-facing capabilities focused on digital twins, OT transformation, and spatial/physical AI use cases across priority sectors
The Team
Our AI & Engineering practice offers comprehensive solutions for designing, developing, and operating advanced data, AI, and engineering platforms, products, insights, and services. We help clients innovate, enhance, and manage their capabilities so they can grow and scale effectively.
In this role, you will work at the intersection of AI, engineering, operational technology, and industry transformation, helping clients bring together sensing, simulation, decisioning, and enterprise execution in real-world physical environments.
Qualifications
Required
* Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field
* 3+ years of relevant experience in consulting, industry, or a combination of both
* Experience working with clients on digital twin, spatial technologies, OT transformation, industrial/edge AI, or related operational technology initiatives
* Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems, including relevant AI, simulation, edge, vision, geospatial, or platform services
* Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to
* NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments
* GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream, Earth Engine, Gemini/ Agent builder
* Strong product and platform strategy experience defining architecture, integration patterns, and implementation approaches for environments involving OT systems, telemetry, AI services, and enterprise platforms
* Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
* Limited immigration sponsorship may be available.
Preferred
* Consulting experience strongly preferred, particularly in client-facing strategy, architecture, or transformation delivery roles
* Experience in data center, sports venue, consumer, or retail environments
* Experience developing client-ready materials for workshops, solution framing sessions, and stakeholder presentations
* Experience contributing to proposal development, pursuit teams, or opportunity shaping activities
* Familiarity with operational use cases such as asset monitoring, predictive maintenance, facility performance, workforce enablement, computer vision, loss prevention, safety/compliance monitoring, or spatial operations
* Experience with enterprise integration, IT/OT convergence, and real-time operational decision support
* Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related discipline
* Strong presentation skills and comfort communicating with both business and technical audiences
Wages + Salary
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 116,200 to $ 229,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Physical & Spatial AI, Cloud Integrated Infrastructure Engineer III
Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals re-imagining and re-engineering operations and environments that are critical to business performance.
The role is focused on helping clients improve operational efficiency, accelerate digital transformation, modernize OT environments, and unlock new value through digital twin, spatial intelligence, and Physical AI-enabled solutions.
We are seeking a candidate with a strong product implementation mindset and experience helping clients apply digital twin and spatial technologies to real-world operational environments. The ideal candidate brings a blend of consulting leadership, industry credibility, technical fluency, and go-to-market vision, with experience aligned to Nvidia and/or Google platform ecosystems for Physical and Spatial AI technologies. This role will be supporting clients in environments such as data centers, sports venues and consumer and retail operations.

Recruiting for this role ends on 06/01/2026.


Work You'll Do
The ideal candidate will bring deep expertise in Physical and Spatial AI, help define business or technology architecture, plan delivery for large-scale projects, oversee solution design and implementation, manage team progress, and ensure quality of work products. The role also includes mentoring, sales support pursuits, and contribution to market eminence.
* Advise clients on leading practices in digital twin, spatial AI, OT modernization, edge-to-cloud integration, and physical environment transformation
* Translate business and operational priorities into transformation roadmaps and technical strategies
* Guide clients on platform choices and ecosystem decisions aligned to NVIDIA and/or GCP-based architectures including the role of edge, data, AI, and simulation platforms in enterprise transformation
* Architect client solutions focused on digital twins, spatial intelligence, simulation, and OT transformation
* Help clients define future-state capability stacks aligned to NVIDIA and/or GCP ecosystems, including edge compute, AI model services, simulation platforms, vision services, data platforms, and enterprise integration layers
* Define technical architectures for environments requiring coordination across sensing, telemetry, OT systems, edge infrastructure, AI/ML services, spatial context, and enterprise applications
* Implement integration of physical/spatial AI capabilities into operational workflows, including OT systems, IoT platforms, facilities systems, robotics-related ecosystems, and enterprise platforms
* Develop differentiated points of view, offerings, demos, and proposal content that position Deloitte as a preferred transformation partner
* Help shape Deloitte's market-facing capabilities focused on digital twins, OT transformation, and spatial/physical AI use cases across priority sectors
The Team
Our AI & Engineering practice offers comprehensive solutions for designing, developing, and operating advanced data, AI, and engineering platforms, products, insights, and services. We help clients innovate, enhance, and manage their capabilities so they can grow and scale effectively.
In this role, you will work at the intersection of AI, engineering, operational technology, and industry transformation, helping clients bring together sensing, simulation, decisioning, and enterprise execution in real-world physical environments.
Qualifications
Required
* Bachelor's degree in Engineering, Computer Science, Information Systems, Industrial Engineering, Operations, or a related field
* 3+ years of relevant experience in consulting, industry, or a combination of both
* Experience working with clients on digital twin, spatial technologies, OT transformation, industrial/edge AI, or related operational technology initiatives
* Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems, including relevant AI, simulation, edge, vision, geospatial, or platform services
* Experience aligned to NVIDIA and/or Google Cloud Platform ecosystems for Physical & Spatial AI including but not limited to
* NVIDIA platforms: Omniverse, Cosmos, Isaac, Metropolis, Jetson/ Orin, NeMo, Groot in real world or simulated environments
* GCP technologies: GDCE, Anthos, Vertex AI, TensorFlow, Immersive Stream, Earth Engine, Gemini/ Agent builder
* Strong product and platform strategy experience defining architecture, integration patterns, and implementation approaches for environments involving OT systems, telemetry, AI services, and enterprise platforms
* Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve
* Limited immigration sponsorship may be available.
Preferred
* Consulting experience strongly preferred, particularly in client-facing strategy, architecture, or transformation delivery roles
* Experience in data center, sports venue, consumer, or retail environments
* Experience developing client-ready materials for workshops, solution framing sessions, and stakeholder presentations
* Experience contributing to proposal development, pursuit teams, or opportunity shaping activities
* Familiarity with operational use cases such as asset monitoring, predictive maintenance, facility performance, workforce enablement, computer vision, loss prevention, safety/compliance monitoring, or spatial operations
* Experience with enterprise integration, IT/OT convergence, and real-time operational decision support
* Advanced degree in Engineering, Computer Science, Robotics, Industrial Systems, or a related discipline
* Strong presentation skills and comfort communicating with both business and technical audiences
Wages + Salary
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $ 116,200 to $ 229,100. You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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