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Nvidia Engineering Jobs in Michigan (NOW HIRING)

Ford Motor Company

Software Engineer

Redford, MI

Experience: 3+ years of professional software engineering experience in a production environment ... Develop and optimize software to deploy machine learning models on edge devices (NVIDIA Jetson/Thor ...

Astemo Ltd

Embedded Software Engineer

Farmington Hills, MI · On-site

$129K - $170K/yr

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

Astemo

Embedded Software Engineer

Farmington Hills, MI

$129K - $170K/yr

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

FORVIA

AI Solutions Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

... engineering, IT, and business leaders to deliver measurable results • Serve as a technical liaison with AI technology providers including Microsoft, NVIDIA, and other solution partners ...

Quantiphi, Inc.

Sr. P&C Insurance SME

Three Rivers, MI · On-site

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on ... As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS ...

Faurecia

AI Solutions Architect

Auburn Hills, MI · On-site

$59.50 - $78.50/hr

... engineering, IT, and business leaders to deliver measurable results • Serve as a technical liaison with AI technology providers including Microsoft, NVIDIA, and other solution partners ...

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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 24, 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:
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 July 2026, with employment types broken down into 90% Full Time, 7% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $128,009 per year, or $61.5 per hour.

Software Sr. Engineer (Middleware)

Astemo Ltd

Farmington Hills, MI • On-site

$120K - $158K/yr

Full-time

Posted 4 days ago

Job description

Company Name:
ASTEMO AMERICAS, INC.
Job Family:
Engineering
Job Description:
General Responsibilities:
We are seeking an experienced and dynamic Senior Engineer to work independently hands on developing an advanced automotive System on Chip (SoC) software platform. This SW platform will operate on a high-performance system-on-chip (SoC) to use in AD/ADAS and/or Central Compute ECU. The software platform will use hypervisor technology and support guest operating systems such as Blackberry QNX, Adaptive AUTOSAR, and various Linux distributions.
Job Responsibilities:
Includes the following (other duties may be documented and assigned by local management and some duties may not apply dependent upon the requirements of the position at each specific Astemo, AM site and/or the strengths of the employee and the needs of the company):
Technology Development: Integrate and support standard automotive sensors, with a focus on AD/ADAS, such as cameras, radar, lidar, sonar, and inertia sensing. Manage the development of image processing capabilities within the platform. Implement system partitioning, hypervisors, and container engine technology to enhance platform flexibility and security.
Cross-functional Collaboration: Collaborate with cross-functional teams including hardware engineers, product engineers, and other stakeholders to ensure the software platform meets performance, safety, and regulatory standards.
Risk Management: Assess risks and uncertainties associated with software development initiatives, proactively identifying potential roadblocks and developing mitigation strategies. Ensure compliance with regulatory requirements and industry standards.
Qualifications: The Ideal candidate will:
  • Strong analytical skills with the ability to translate complex data into actionable insights.
  • Excellent communication and presentation skills, with the ability to influence and persuade stakeholders at all levels of the organization.
  • Deep understanding of SDV Enablers, Zonal Network, high-performance central compute modules, automated driving, AI, machine learning, perception modules, connected mobility, MLOps, and OTA updates.
  • Technical experience with:
    • Strong experience in C/C++ development for automotive embedded systems, with the ability to develop automotive SoC software platforms.
    • Software: POSIX OS, QNX, Board support packages, middleware, hypervisor, container engines, and AD/ADAS technology stacks.
    • Strong expertise in AD/ADAS sensor (Cameras, Radar, Lidar...etc.) bring-up, integration, and debugging on automotive platforms.
    • ADAS Features: Good understanding of Image processing, Image transfer, Video Input and Video output handling in SoC platform software development.
    • SoC architecture: Any major SOC vendors like Qualcomm SA8650, Renesas RCAR, Nvidia Orin and Thor experience.
    • SoC Hardware: Ethernet, USB, UFS, Display Port, PCIe, QUP (Qualcomm Universal Peripheral), UART, SPI, I2C, Inter Core Communication, Camera, CPU Kryo, ARM Cortex R-52, Hexagon Tensor Processor, Server, Accelerators, DDR, Flash ROM, MMU.
  • Strong understanding of Classic and Adaptive AUTOSAR software architecture and good experience of Continuous Integration and Continuous Delivery.
  • Strong Understanding of CPU/GPU architectures, data structures, OS internals, multi-threading, inter-process communications, memory management techniques.
  • Nice to have NVIDIA Drive OS experience and Hypervisor virtual platforms
  • V-Model, ASPICE, MISRA, ISO26262, Cybersecurity and Agile framework.
  • Ability to read schematics, electrical block diagrams, and IC datasheets.

Education: Bachelor or Master's degree in in Computer Science or Electrical Engineering
Experience: 7+ years of experience with a minimum of 4 years of AD/ADAS Sensor development experience and 3+ years of experience in automotive, or other embedded system low-level domains.
Job level is determined by various factors such as organization size, responsibility, career stage, and capabilities.
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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