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Senior Embedded Machine Learning Jobs in Chesterfield, MI

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 ...

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 ...

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Senior Embedded Machine Learning information

See Chesterfield, MI salary details

$70.8K

$135.8K

$181.5K

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

As of Aug 6, 2026, the average yearly pay for senior embedded machine learning in Chesterfield, MI is $135,775.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,300.00 and $152,400.00 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?

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 Chesterfield, MI are hiring for Senior Embedded Machine Learning jobs? Cities near Chesterfield, MI with the most Senior Embedded Machine Learning job openings:
Senior Embedded Machine Learning jobs near you

Senior Embedded Software Engineer

Moseley Technical Services, Inc.

Auburn Hills, MI • On-site

$117K - $153K/yr

Full-time

Medical, Retirement

Re-posted 20 days ago

Job description

Check out this new opportunity!
Senior Embedded Software Engineer
Embedded C/C++ | RTOS | Linux | Military Ground Vehicle Systems
Auburn Hills, MI
Competitive Salary
We are hiring a Senior Embedded Software Engineer in Auburn Hills, Michigan to develop and integrate advanced embedded software for military ground combat vehicle systems. This role supports software architecture, cybersecurity, systems integration, Model-Based Systems Engineering (MBSE), RTOS, Linux, Embedded C/C++, FPGA, GPU, and DoD vehicle platforms while collaborating across engineering teams throughout the full product lifecycle.
Responsibilities:
  • Design, develop, integrate, and maintain embedded software for advanced military combat vehicle systems.
  • Develop secure vehicle software using Agile, DevSecOps, rapid prototyping, and modern software engineering practices.
  • Create software requirements, algorithms, activity diagrams, logic flowcharts, and software specifications utilizing SysML modeling and simulation.
  • Research, model, simulate, and evaluate software solutions to meet system performance and customer requirements.
  • Conduct engineering trade studies to evaluate alternative software architectures and technical solutions.
  • Support the complete software development lifecycle, including design, verification, configuration management, integration, and deployment.
  • Utilize engineering tools including Git, Jira, Confluence, Kubernetes, CANoe, MATLAB/Simulink, and related development environments.
  • Develop and integrate embedded drivers, applications, kernels, virtual machines, and containerized software environments.
  • Design and implement software supporting safety-critical embedded systems.
  • Integrate military lethality, survivability, communications, cybersecurity, and C5ISR systems.
  • Support CPU, GPU, and FPGA hardware/software integration activities.
  • Collaborate with customers, suppliers, and cross-functional engineering teams to deliver technical solutions.
  • Support software integration within System Integration Labs (SIL) and Hardware-in-the-Loop (HIL) environments.
  • Review and validate software test plans to ensure compliance with customer requirements.
  • Execute testing using software diagnostic and scan tools while analyzing system performance.
  • Support prototype development, system integration, troubleshooting, root cause analysis, and corrective actions.
  • Monitor and analyze software and vehicle test results to ensure successful system performance.

Qualifications:
  • US Citizenship Required
  • Currently hold or be eligible to obtain a U.S. Secret Security Clearance.
  • Bachelor's degree in Electrical Engineering, Computer Engineering, Computer Science, Software Engineering, Systems Engineering, Aerospace Engineering, Automotive Engineering, or a related engineering discipline.
  • Minimum 15 years of embedded software engineering experience supporting complex system development.
  • Experience developing software using Embedded C/C++, Linux, and Real-Time Operating Systems (RTOS).
  • Experience with Model-Based Software Development using UML and SysML.
  • Proficiency with Git, Jira, Confluence, Cameo, Microsoft Office, MATLAB/Simulink, Kubernetes, and CANoe.
  • Experience with embedded processors and hardware platforms including x86, ARM, GPU, and FPGA architectures.
  • Experience with communications protocols including:
    • J1939 CAN Bus
    • RS422/485
    • Ethernet (802.3)
    • TCP/IP
    • UDP
    • DDS
    • Multicast
    • DisplayPort
    • HDMI
    • HD-SDI
  • Working knowledge of digital, analog, RF, and power electronics.
  • Understanding of automotive power distribution systems and Power Distribution Modules (PDMs).
  • Experience using laboratory instrumentation including oscilloscopes, multimeters, logic analyzers, function generators, network analyzers, and spectrum analyzers.
  • Experience supporting software development throughout the complete product lifecycle within highly regulated engineering environments.
  • Knowledge of systems engineering processes, standards, verification, validation, and systems integration.
  • Experience presenting technical solutions to customers and internal engineering stakeholders.
  • Experience working within multinational engineering organizations.
  • Experience supporting proposal development, contract planning, and program execution.
  • Willingness and ability to travel internationally for technology transfer activities.

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

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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