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Embedded Ai Jobs in Michigan (NOW HIRING)

It requires strong embedded software and automotive integration expertise, as well as practical knowledge of AI model training, distillation, and tuning. Success in this role will not only deliver ...

You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to ...

You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to ...

You will work at the intersection of AI, embedded systems, and automotive software, shaping scalable architectures while coordinating cross-functional teams to bring innovative cockpit experiences to ...

As the Embedded Software Lead for the Aptiv Connected Services Edge Application team, you will lead ... Enthusiasm for and practical experience with AI-assisted development, agentic coding workflows, and ...

As the Embedded Software Lead for the Aptiv Connected Services Edge Application team, you will lead ... Enthusiasm for and practical experience with AI-assisted development, agentic coding workflows, and ...

As the Embedded Software Lead for the Aptiv Connected Services Edge Application team, you will lead ... Enthusiasm for and practical experience with AI-assisted development, agentic coding workflows, and ...

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Showing results 1-20

Embedded Ai information

See Michigan salary details

$61K

$133.7K

$151.7K

How much do embedded ai jobs pay per year?

As of Sep 14, 2026, the average yearly pay for embedded ai 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?

An Embedded AI job involves developing and optimizing artificial intelligence models to run efficiently on edge devices with limited computing power, such as IoT devices, autonomous systems, and smart sensors. Professionals in this field work on integrating AI algorithms with embedded systems, ensuring real-time performance, low power consumption, and efficient resource utilization. They collaborate with hardware and software engineers to deploy machine learning models on microcontrollers, FPGAs, or specialized AI accelerators.

What are the key skills and qualifications needed to thrive in the embedded AI position, and why are they important?

Success as an Embedded AI professional requires expertise in embedded systems, proficiency in C/C++, Python, and AI algorithms, often backed by a degree in computer engineering or related fields. Familiarity with real-time operating systems (RTOS), development tools like MATLAB, and frameworks such as TensorFlow Lite or ONNX is common, and certifications in embedded or machine learning domains are beneficial. Strong problem-solving skills, attention to detail, and the ability to communicate complex technical concepts clearly are crucial soft skills. These abilities ensure reliable integration of AI models into hardware, fostering innovation and seamless collaboration with multidisciplinary teams.

What are some common challenges faced by embedded AI professionals in their day-to-day work?

Embedded AI professionals often encounter challenges such as optimizing AI algorithms to run efficiently within the memory and processing constraints of embedded hardware. They must also ensure reliable real-time performance and work to address issues with power consumption and system integration. Collaboration with hardware engineers, data scientists, and software developers is essential to align AI models with platform capabilities. Overcoming these challenges requires continuous learning and adaptability, but the role offers significant opportunities to make impactful contributions to emerging technologies.

What are the most commonly searched types of Embedded Ai jobs in Michigan?

The most popular types of Embedded Ai jobs in Michigan are:

Infographic showing various Embedded Ai job openings in Michigan as of August 2026, with employment types broken down into 70% Full Time, 28% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $133,688 per year, or $64.3 per hour.

Director AI Integration and Applications

Detroit, MI โ€ข On-site

$402K - $457K/yr

Full-time

Posted 21 days ago


Job description

The role
As Director of AI Integration & Application, you will lead the integration of our AI stack into production automotive platforms and programs. Your primary focus will be to ensure seamless embedding, adaptation, and validation of our end-to-end AI model on customer systems, working across embedded software layers, AI deployment workflows, and OEM integration processes.
This is a strategic and execution-oriented leadership role. It requires strong embedded software and automotive integration expertise, as well as practical knowledge of AI model training, distillation, and tuning. Success in this role will not only deliver production programs but will also define templates and frameworks for scalable global adoption. Your work will directly influence how our product evolves to meet the complexity of diverse regional needs while aligning with a unified global architecture and deployment strategy.
Key Responsibilities:
  • Own the end-to-end software integration of our AI stack into customer vehicle platforms, ensuring delivery readiness from development to production.
  • Capture best practices, performance insights, and technical solutions from regional deployments to inform and influence global product development strategy.
  • Serve as the technical integration lead for OEM production programs, aligning system capabilities with platform constraints, safety requirements, and functional targets.
  • Guide the adaptation, tuning, and validation of our end-to-end AI models for specific OEM environments-including dataset preparation, model distillation, and performance calibration.
  • Translate regional or program-specific integrations into reusable application-layer components and playbooks that can be applied globally.
  • Act as the connective tissue between application software, AI research, system integration, product management, safety, and release engineering.
  • Contribute to the evolution of our global deployment strategy by feeding insights from program work and collaborate into upstream architectural and operational improvements.
  • Build and lead a high-performance team focused on embedded AI application software and system-level integration.
  • Represent the company in technical discussions with OEMs and Tier 1s, supporting early-stage integration assessments, roadmap alignment, and field performance reviews.
About you
In order to set you up for success as an Engineering Director at Wayve, we're looking for the following skills and experience.
Essential:
  • 10+ years of experience in embedded software engineering or AI systems integration, with 5+ years in technical leadership roles.
  • Proven track record of integrating complex software or AI systems into production automotive platforms.
  • Proficiency in embedded development with C++, Python, and real-time OS environments (Linux, QNX, Adaptive AUTOSAR).
  • Deep familiarity with end-to-end AI workflows including training, distillation, tuning, and deployment in embedded environments.
  • Experience interfacing with automotive data pipelines, perception or planning models, and validation tooling.
  • Strong system thinking and problem-solving skills; ability to lead multidisciplinary initiatives and balance technical depth with delivery focus.
  • Excellent communication skills for cross-functional collaboration and customer-facing engagements.

Desirable:
  • Experience in delivering AI-enabled or perception-based systems in production automotive programs.
  • Knowledge of ISO 26262, ISO/SAE 21434, UN R155/156, and other standards relevant to safety and security in automotive software.
  • Experience working with customers across multiple regions and templating integration solutions for broader reuse.
  • Background in creating architectural feedback loops from program execution into product evolution.

This is a full-time role based in Detroit or Sunnyvale, CA (hybrid). At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home.
The reasonably estimated salary for this role ranges from $402,500 to $457,900 , plus a competitive equity package. Actual compensation is based on the candidate's skills, qualifications, and experience.