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Embedded Ai Engineer Jobs in Michigan (NOW HIRING)

Ford Motor Company

Systems Engineer

Dearborn, MI · On-site

We are building state-of-the-art AI-powered Embedded Vehicle Diagnostics capabilities that combine vehicle signals, diagnostics, logs, engineering knowledge, service procedures, and intelligent ...

Stellantis

Data Engineer - Supply Chain

Auburn Hills, MI · On-site

$108K - $130K/yr

The Data Engineer partners closely with Data Science, AI Engineering, Automation, and Platform teams to deliver high-quality data assets embedded into operational workflows. Responsibilities include ...

Ford Motor Company

Systems Engineer

Dearborn, MI · On-site

We are building state-of-the-art AI-powered Embedded Vehicle Diagnostics capabilities that combine vehicle signals, diagnostics, logs, engineering knowledge, service procedures, and intelligent ...

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All JobsEmbedded Ai Engineer JobsEmbedded Ai Engineer Jobs in Michigan

Embedded Ai Engineer information

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$61K

$133.7K

$151.7K

How much do embedded ai engineer jobs pay per year?

As of Jun 14, 2026, the average yearly pay for embedded ai engineer in Michigan is $133,688.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,600.00 and $150,800.00 per year, depending on experience, location, and employer.

What is an Embedded AI Engineer?

An Embedded AI Engineer is a professional who designs, develops, and implements artificial intelligence (AI) algorithms and models directly onto embedded systems, such as microcontrollers or edge devices. Their work involves optimizing AI solutions to run efficiently on hardware with limited computing resources, power, and memory. They collaborate with hardware engineers and software developers to integrate machine learning, computer vision, or other AI functionalities into products like smart appliances, autonomous vehicles, or IoT devices. Their expertise helps bring intelligent features directly to devices, enabling real-time decision-making without needing constant cloud connectivity.

What is the difference between Embedded Ai Engineer vs Machine Learning Engineer?

CriteriaEmbedded Ai EngineerMachine Learning Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; knowledge of embedded systemsBachelor's or Master's in Computer Science, Data Science, or related; strong programming skills
Work EnvironmentEmbedded systems, IoT devices, hardware integrationData centers, cloud platforms, software development environments
Employer & Industry UsageConsumer electronics, automotive, IoT companiesTech firms, startups, research institutions
Common Search & ComparisonYesNo

Embedded Ai Engineers focus on integrating AI algorithms into embedded hardware and IoT devices, requiring knowledge of hardware constraints and embedded programming. Machine Learning Engineers develop models primarily for software applications and data analysis. While both roles involve AI, Embedded Ai Engineers specialize in hardware-software integration within embedded systems, whereas Machine Learning Engineers work on developing and deploying AI models in software environments.

What are the key skills and qualifications needed to thrive as an Embedded AI Engineer, and why are they important?

To thrive as an Embedded AI Engineer, you need expertise in embedded systems, AI/ML algorithms, programming languages like C/C++ and Python, and typically a degree in computer engineering or a related field. Familiarity with development tools such as TensorFlow Lite, ONNX, embedded Linux, and microcontroller platforms is essential, along with experience deploying AI models on resource-constrained devices. Strong problem-solving, collaboration, and communication skills help you work effectively in multidisciplinary teams and address real-world challenges. These skills ensure efficient integration of AI into embedded systems, enabling innovative, high-performance solutions for edge computing.

How does an Embedded AI Engineer typically collaborate with hardware and software teams during a project?

Embedded AI Engineers work closely with both hardware and software teams to ensure AI models are efficiently integrated into resource-constrained devices. They often collaborate with hardware engineers to optimize model performance based on device limitations like memory and processing power. At the same time, they coordinate with software developers to design efficient firmware and manage data pipelines. Regular cross-functional meetings and code reviews are common to address integration challenges and maintain alignment throughout the project lifecycle.
What are popular job titles related to Embedded Ai Engineer jobs in Michigan? For Embedded Ai Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Embedded Ai Engineer jobs in Michigan look for? The top searched job categories for Embedded Ai Engineer jobs in Michigan are:
What cities in Michigan are hiring for Embedded Ai Engineer jobs? Cities in Michigan with the most Embedded Ai Engineer job openings:
Embedded Ai Engineer jobs near you
Senior Embedded Software Engineer - Audio

Senior Embedded Software Engineer - Audio

Ford Motor Company

Dearborn, MI • On-site

$114K - $149K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 4 days ago

Job description

Job Description
Do you have what it takes to make smart vehicles for a smart world? Join the Ford Digital Experience team. Utilizing Design Thinking & User Experience methods, you'll work to deliver breakthrough products and services that delight our customers. We're seeking forward-thinking, laser-focused professionals with a passion for bringing innovative, exciting, and sustainable ideas to life.
Responsibilities
What you'll do...
This position serves as the Senior Embedded Software Engineer for Audio Management frameworks within Ford's next-generation infotainment products. You will define the technical roadmap, architect complex system solutions, and provide technical leadership across the entire software life cycle. You will guide distributed software teams to deliver robust, scalable, and high-performance audio architectures.
  • Architect and oversee the implementation of the Android platform audio domain, defining strategies for custom AOSP framework modifications and Ford-specific SDK platforms.
  • Spearhead the design and architectural direction of Android Audio HAL (HIDL/AIDL) and Linux Kernel audio drivers (ALSA/ASoC), targeting high-performance System-on-Chip (SoC) platforms.
  • Place emphasis on end-to-end audio quality improvements working with partner teams, test and automation stakeholders.
  • Define the virtualization strategy for audio solutions within Hypervisor-based architectures, ensuring deterministic behavior and seamless IPC between Android and real-time operating systems (QNX/Automotive Linux).
  • Provide technical mentorship and code governance to development teams, ensuring adherence to design patterns and quality standards.
  • Collaborate with domain architects and key technology partners to define the long-term vision for the Ford Infotainment System audio platform.
  • Lead complex root cause analysis for critical software defects and system stability issues.
  • Architect solutions for optimizing boot-up performance, system responsiveness, and resource management.

Qualifications
You'll bring...
  • Bachelor's Degree in Computer Engineering, Electrical Engineering, Computer Science or related.
  • Five or more years of experience in software architecture and development on Android AOSP using C++/Java/Kotlin etc. for automotive, embedded, mobile, or consumer electronic platforms.
  • Three or more years of specialized experience in Android Audio HAL development, Audio Policy, and Linux Kernel driver integration (ALSA/ASoC).
  • Two or more years of experience with in-vehicle signaling mechanisms such as CAN/Ethernet etc.
  • Must be willing to work on a hybrid schedule requiring in-office presence for 4+ days per week.

Even better, you may have...
  • Master's degree in Computer Engineering, Electrical Engineering or Computer Science.
  • Advanced proficiency in C++/Java/Kotlin, GNU toolchain, and Linux: Embedded Android.
  • Experience architecting media applications and audio focus management on Android.
  • Proven experience designing software within Hypervisor-based virtualization architectures and QNX/Automotive Linux or equivalent environments.
  • Expertise across the entire Android OS stack (HAL, VHAL to Android System Applications and Services) and Android Framework layers.
  • Exposure to audio transport methods and standards (e.g., A2B, EAVB).
  • Exposure to AI prompt engineering to enhance software development workflows and productivity.
  • Deep expertise in optimizing audio for Qualcomm Automotive SoCs (Snapdragon), including Hexagon DSP architecture and audio subsystem integration.
  • Proven track record of Digital Signal Processing (DSP) flow integration using frameworks such as AudioWeaver.
  • Experience leading multi-site software project teams.

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 child care 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 salary grade 8 from $115,000 - $150,000.
For more information on salary and benefits, click here: https://fordcareers.co/GSR
Visa sponsorship is available for this position.
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.
This position is hybrid (onsite four days per week).
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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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