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Senior Embedded Machine Learning Jobs in Novi, MI

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

Familiarity with robotics frameworks (ROS 2) and machine learning is a plus. Key Responsibilities * Develop embedded software for signal processing, sensor integration, and data acquisition * Design ...

Optimal Inc.

Robotics Software Engineer

Warren, MI · On-site

Familiarity with robotics frameworks (ROS 2) and machine learning is a plus. Key Responsibilities * Develop embedded software for signal processing, sensor integration, and data acquisition * Design ...

Wayve

Machine Learning Engineer, App SW

Detroit, MI · Hybrid

$283K - $381K/yr

Mentor senior engineers and shape the long-term technical direction across Autonomy. About you: In order to set you up for success as a Machine Learning Engineer at Wayve, we're looking for the ...

General Motors

AI/ML Staff Researcher

Warren, MI · On-site

Lead the development and deployment of advanced AI and machine learning solutions that accelerate ... Exceptional communicator who can engage effectively with executives, senior technical leaders, and ...

Ford Motor Company

Senior Data Scientist

Dearborn, MI · On-site

The Senior Data Scientist on the Credit AI team at Ford Credit will lead the development and ... This role requires strong expertise in machine learning, statistical modeling, generative AI, and ...

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All JobsSenior Embedded Machine Learning JobsSenior Embedded Machine Learning Jobs in Novi, MI

Senior Embedded Machine Learning information

See Novi, MI salary details

$70.8K

$135.8K

$181.5K

How much do senior embedded machine learning jobs pay per year?

As of Jun 10, 2026, the average yearly pay for senior embedded machine learning in Novi, MI is $135,825.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $152,500.00 per year, depending on experience, location, and employer.

What is the difference between Senior Embedded Machine Learning vs Embedded Software Engineer?

AspectSenior Embedded Machine LearningEmbedded Software Engineer
Required CredentialsBachelor's/Master's in CS, EE, or related; experience in ML and embedded systemsBachelor's in CS, EE, or related; strong programming skills in C/C++
Work EnvironmentDeveloping ML models for embedded devices, hardware integrationDesigning and implementing embedded software for devices
Industry UsageAI/ML-focused companies, IoT, consumer electronicsAutomotive, industrial, consumer electronics

While both roles involve embedded systems, Senior Embedded Machine Learning focuses on integrating ML models into hardware, requiring knowledge of AI and data science. Embedded Software Engineers primarily develop software for embedded devices, emphasizing firmware and system-level programming. The roles overlap in embedded environment skills but differ in their core focus on AI versus traditional software development.

What are some common challenges faced by Senior Embedded Machine Learning Engineers when deploying models on edge devices?

Senior Embedded Machine Learning Engineers often encounter challenges such as optimizing model size and inference speed to fit within the limited computational resources and memory of edge devices. Balancing accuracy and performance while minimizing power consumption is critical, especially for battery-operated products. Additionally, integrating models with existing embedded software and ensuring reliable, real-time operation can require close collaboration with hardware and firmware teams. Staying current with advancements in model compression and hardware acceleration is also essential for success in this role.

What are the key skills and qualifications needed to thrive as a Senior Embedded Machine Learning Engineer, and why are they important?

To thrive as a Senior Embedded Machine Learning Engineer, you need expertise in embedded systems, machine learning algorithms, and programming languages like C/C++ and Python, often backed by an advanced degree in computer science or electrical engineering. Familiarity with tools such as TensorFlow Lite, ONNX, and embedded hardware platforms (e.g., ARM Cortex-M, NVIDIA Jetson) is typically required. Strong problem-solving, project management, and communication skills distinguish top performers in this role. These capabilities are crucial for efficiently deploying optimized machine learning models on resource-constrained devices and effectively collaborating across multidisciplinary teams.

What does a Senior Embedded Machine Learning engineer do?

A Senior Embedded Machine Learning engineer designs, develops, and optimizes machine learning models to run efficiently on resource-constrained embedded devices such as microcontrollers, IoT devices, and edge hardware. They are responsible for integrating ML algorithms with embedded systems, ensuring low latency and minimal power consumption. Their work often involves collaborating with hardware engineers and software developers to deploy intelligent features in products like smart sensors, wearables, and autonomous systems.
What cities near Novi, MI are hiring for Senior Embedded Machine Learning jobs? Cities near Novi, MI with the most Senior Embedded Machine Learning job openings:
Senior Embedded Machine Learning jobs near you
Senior Engineer, Embedded Software/Communications

Senior Engineer, Embedded Software/Communications

Magna

Troy, MI • On-site

$117K - $154K/yr

Full-time

Posted 11 days ago

Job description

Job descriptions may display in multiple languages based on your language selection.
What we offer:
At Magna, you can expect an engaging and dynamic environment where you can help to develop industry-leading automotive technologies. We invest in our employees, providing them with the support and resources they need to succeed. As a member of our global team, you can expect exciting, varied responsibilities as well as a wide range of development prospects. Because we believe that your career path should be as unique as you are.
Group Summary:
Magna is more than one of the world's largest suppliers in the automotive space. We are a mobility technology company built to innovate, with a global, entrepreneurial-minded team. With 65+ years of expertise, our ecosystem of interconnected products combined with our complete vehicle expertise uniquely positions us to advance mobility in an expanded transportation landscape.
Job Responsibilities:
Responsibilities:
  • Collaborate with cross-functional teams to improve system performance.
  • Maintain up to date knowledge of communications technology trends and capabilities
  • Lead and execute the development and integration of various protocols for the new communication interfaces for various execution environments (OSEK, POSIX).
  • Implement, configure and deploy time-sensitive networking techniques (TSN).
  • Conduct detailed performance testing and analysis and benchmarking
  • Assist in transferring technology, prototype implementations, proof-of-technologies, proof-of-concepts, and knowledge to the wider teams.

Education/Knowledge:
  • Master's degree in Electronics Engineering, Computer Science, Mechatronics Engineering, Physics or similar discipline is required.
  • 6-8+ years' demonstrable experience and passion for automotive software design along with System Engineering experience.
  • Familiarity with requirements definition, the V development cycle and Agile development
  • A wide range of experience with basic Project Management, Systems Engineering, Functional Safety and Cyber Security will be considered a plus
  • Programming language experience in C++, Python, RUST

Required Skills:
  • Strong craftsmanship skills.
  • Strong presentation, rhetorical, influencing, and negotiation skills.
  • Holistic understanding of the overall Systems requirements for automotive E/E Architecture
  • Holistic understanding of the communications requirements for the features in the various Domains (ADAS, Powertrain, etc.)
  • Understanding of the various Automotive Ethernet standards and protocols, as well as the physical layer (IEEE 802.xx) and basic communications technologies (CAN, SPI, UART, I2C, ...)
  • Understanding of the requirements for various automotive sensor applications such as cameras, radar, lidar, such as bandwidth, timing, synchronization, scheduling
  • Experience with embedded operating systems (POSIX and OSEK) and embedded high-performance processers (SoC's)
  • Logical and analytical thinking with solid mathematical and physics understanding.
  • Technical expertise in electronic components and hardware development life cycle.
  • Deep understanding in communication systems especially Automotive Ethernet with setting up and config of TSN and virtual channels incl Signal analysis (DSP) incl high frequency (EMC)
  • Knowledge of advanced controls techniques.
  • Knowledge of automotive functional safety and security
  • Deep understanding of modern Machine Learning and AI methods
  • Ability to travel internationally on an occasional basis

Awareness, Unity, Empowerment: At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
Awareness, Unity, Empowerment:
At Magna, we believe that a diverse workforce is critical to our success. That's why we are proud to be an equal opportunity employer. We hire on the basis of experience and qualifications, and in consideration of job requirements, regardless of, in particular, color, ancestry, religion, gender, origin, sexual orientation, age, citizenship, marital status, disability or gender identity. Magna takes the privacy of your personal information seriously. We discourage you from sending applications via email or traditional mail to comply with GDPR requirements and your local Data Privacy Law.
Worker Type:
Regular / Permanent
Group:
Magna Corporate

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