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Senior Embedded Machine Learning Jobs in Novi, MI

Canopy

Senior Machine Learning Engineer

Detroit, MI · On-site +1

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... devices/embedded systems. * White-box understanding of classical ML algorithms (SVMs, HMMs ...

Canopy

Senior Machine Learning Engineer

Detroit, MI · Remote

$126K - $180K/yr

As a Senior Machine Learning Engineer within the AI Squad at Canopy and reporting to the Director ... devices/embedded systems. * White-box understanding of classical ML algorithms (SVMs, HMMs ...

Mariana Minerals

Machine Learning Engineer

Ann Arbor, MI · On-site

$120K - $160K/yr

As a Machine Learning Engineer at Mariana, you'll help build and improve the machine learning ... senior engineers. * Train control models, track and interpret their performance, and dig into why a ...

Urban Science

Senior Data Scientist

Detroit, MI

The Senior Data Scientist plays a critical leadership role in transforming raw data into actionable ... machine learning analyses that are embedded into corporate software and processes. * Uses SQL ...

Autodesk

Senior Machine Learning Test Engineer

Novi, MI · On-site +1

$103K - $134K/yr

Job Requisition ID # 26WD98377 Senior Machine Learning Test Engineer Location: United States East Coast Position Overview As a Senior Machine Learning Test Engineer in the Research Enablement team ...

FastTek

Machine Learning Engineer

Dearborn, MI · On-site

$105K - $126K/yr

Machine Learning Engineer #1054987 * Employees in this job function are responsible for designing ... Senior Engineer Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang.; guides. * 10+ years in IT ...

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All JobsEmbedded Machine Learning 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 Jul 11, 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 Embedded Software Engineer

Senior Embedded Software Engineer

Moseley Technical Services, Inc.

Auburn Hills, MI • On-site

$117K - $153K/yr

Full-time

Medical, Retirement

Posted 25 days ago

Job description

Check out this new opportunity!
Sr Embedded Software Engineer
Auburn Hills, MI
Competitive Salary
Ability to Obtain a Secret Clearance
For over 30 years, we'vWe are hiring a Senior Embedded Software Engineer in Auburn Hills, Michigan, supporting the development and integration of military combat vehicle software systems for U.S. defense programs. This role requires expertise in Embedded C/C++, Linux, RTOS, SysML/UML, DevSecOps, cybersecurity, software integration, vehicle electronics, and C5ISR systems, with the ability to support complex software development, testing, simulation, and systems integration activities throughout the product lifecycle.e been committed to excellence and innovation, helping our clients tackle complex challenges by providing them with the best talent in the field. Join us and be a part of a company that values your skills and offers you the opportunity to meet your career goals.
Responsibilities:
  • Design, develop, integrate, and maintain embedded software for military combat vehicle systems.
  • Develop secure vehicle software and cybersecurity solutions utilizing Agile development, rapid prototyping, and DevSecOps methodologies.
  • Create and manage software requirements, specifications, algorithms, activity diagrams, and model-based engineering artifacts using UML and SysML.
  • Perform software modeling, simulation, analysis, and trade studies to evaluate system performance and ensure compliance with customer requirements.
  • Support software lifecycle activities including development, verification, validation, configuration management, and integration.
  • Utilize engineering and development tools including Git, Jira, Confluence, Kubernetes, CANoe, MATLAB, and Simulink.
  • Develop and integrate software drivers, applications, kernels, containers, and virtual machine environments.
  • Support safety-critical software development and system integration activities.
  • Integrate military lethality, survivability, communications, and C5ISR systems into vehicle platforms.
  • Support CPU, GPU, and FPGA hardware integration and software implementation activities.
  • Collaborate with customers, suppliers, and cross-functional engineering teams to define and implement technical solutions.
  • Support component, subsystem, and full-vehicle testing activities.
  • Review test plans and procedures to ensure compliance with customer requirements and system functionality.
  • Utilize test, diagnostic, and scan tools to validate software and hardware performance.
  • Support prototype development, system integration laboratory (SIL), and hardware-in-the-loop (HIL) testing activities.
  • Analyze test data, troubleshoot system issues, and implement corrective actions.

Qualifications:
  • U.S. Citizenship required to obtain and maintain a U.S. Secret Security Clearance.
  • Ability to obtain and maintain a Secret Security Clearance.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Software Engineering, Systems Engineering, Computer Science, Aerospace Engineering, Automotive Engineering, or a related technical field.
  • 15+ years of embedded software engineering and systems integration experience supporting complex product development programs.
  • Experience with Embedded C/C++, Linux, and Real-Time Operating Systems (RTOS).
  • Experience with Model-Based Software Development using UML and SysML.
  • Proficiency with Confluence, Cameo Systems Modeler, and Microsoft Office applications.
  • Experience with software development lifecycle processes, software verification, configuration management, and systems integration.
  • Experience with standard communication protocols including J1939 CAN Bus, RS-422/485, and Ethernet (IEEE 802.3).
  • Experience with networking and data communication technologies including TCP/IP, UDP, DDS, Multicast, DisplayPort, HDMI, and HD-SDI.
  • Experience supporting x86, ARM, GPU, and FPGA-based systems.
  • Working knowledge of digital, analog, power, and RF electronics.
  • Understanding of vehicle power distribution systems, automotive power management, and Power Distribution Modules (PDMs).
  • Hands-on experience using laboratory and test equipment including oscilloscopes, multimeters, logic analyzers, function generators, network analyzers, and spectrum analyzers.
  • Knowledge of systems engineering principles, standards, and model-based design methodologies.
  • Experience supporting engineering programs within highly regulated industries.
  • Experience working in multinational and cross-functional engineering environments.
  • Experience supporting proposal development, capture activities, contract execution, and delivery planning.
  • Ability and willingness to travel internationally for technology transfer and program support.

Preferred Qualifications:
  • Master's degree in Electrical Engineering, Computer Science, Software Engineering, Systems Engineering, Aerospace Engineering, Automotive Engineering, Engineering Management, or related discipline.
  • Experience delivering large-scale U.S. Department of Defense (DoD) ground vehicle programs.
  • Familiarity with U.S. Army ground vehicle requirements and acquisition processes.
  • Knowledge of TACOM, TARDEC, and GVSC organizations.
  • Experience with military Command, Control, Communications, Computers, Cyber, and Intelligence (C5ISR) systems.
  • Experience with fire control systems, stabilization systems, coordinate transformations, and advanced control algorithms.
  • Familiarity with VICTORY, FACE, GCIA, and Modular Open Systems Approach (MOSA) standards.
  • Detailed knowledge of military standards, defense regulations, and vehicle system compliance requirements.

Moseley Technical Services, Inc. is an AA/EEO/Veterans/Disabled Employer
Your Recruiter
What to Expect
  • Applicants selected for employment will be required to pass a pre-employment drug screening and background investigation, which may include education, criminal, and work history verifications.
  • Accepted applicants will be eligible for benefits, including medical and supplemental insurance, and a 401(k) plan. Appreciation and gratitude for employees are hallmarks of organizations with low turnover.
  • Final position level and pay will be based on experience.

Resources
  • To apply, send a resume to: resumes@moseleytechnical.com
  • For more active job openings: Search Jobs
  • For more information about Moseley, visit: About Us

Moseley Technical Services, Inc. (Moseley) was incorporated in 1994 to provide engineering and professional services to the aerospace/defense, manufacturing, government, and commercial industries. Our Mission is to deliver superior service to our customers and employees. We have been successful in our vision by building long-term relationships with customers and employees through integrity, transparency, and appreciation.
We stand by our 30-year-old commitment of "World Class Service. World Class Company."
Qualifications
Moseley Technical Services, Inc. (Moseley) was incorporated in 1994 to provide engineering and professional services to the aerospace/defense, manufacturing, government, and commercial industries. Our Mission is to deliver superior service to our customers and employees. We have been successful in our vision by building long-term relationships with customers and employees through integrity, transparency, and appreciation.
We stand by our 30 year-old commitment to be a "World Class Service. World Class Company."
Moseley Technical Services logo

About Moseley Technical Services

Sourced by ZipRecruiter

Moseley Technical Services, headquartered in Huntsville, AL, US, is a renowned player in the engineering services industry. They provide a diverse array of services, primarily focused on staffing and recruiting for various technical industries including aerospace, defense, and information technology. Incepted in 1995, this veteran-owned company prides itself on its strong commitment to its customers’ missions and to its employees.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

Huntsville, AL, US

Year founded

1994

Social media

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