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Embedded Machine Learning Engineer Jobs in Minneapolis, MN

HTI Technology

Embedded Systems Engineer

Chanhassen, MN · On-site

$90 - $120/hr

Embedded Systems Engineer Location: Chanhassen, MN Job Id: 189 # of Openings: 1 Embedded Systems ... machine integration and design Familiarity with EMC/ESD mitigation techniques Knowledge of ...

Deloitte

Senior AI Engineer - SFL Scientific

Minneapolis, MN · On-site

$109K - $149K/yr

Work You'll Do As a Senior AI Engineer, you'll work cross-functionally with data scientists, machine learning engineers, project managers, and industry experts to develop robust AI infrastructure and ...

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Minneapolis, MN

Embedded Machine Learning Engineer information

See Minneapolis, MN salary details

$73.1K

$160.1K

$181.6K

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

As of Aug 20, 2026, the average yearly pay for embedded machine learning engineer in Minneapolis, MN is $160,102.00, according to ZipRecruiter salary data. Most workers in this role earn between $137,300.00 and $180,600.00 per year, depending on experience, location, and employer.

What does an embedded machine learning engineer do?

An Embedded Machine Learning Engineer designs and implements machine learning models that can run efficiently on embedded systems, such as microcontrollers and edge devices. Their work involves optimizing algorithms to fit within the resource constraints of these devices, integrating ML models into hardware, and ensuring real-time performance. They collaborate closely with hardware engineers and software developers to deploy intelligent features in products like smart sensors, IoT devices, and autonomous systems.

What are the key skills and qualifications needed to thrive as an embedded machine learning engineer?

To thrive as an Embedded Machine Learning Engineer, you need expertise in machine learning algorithms, embedded systems programming (C/C++ or Python), and a solid understanding of hardware constraints, usually supported by a degree in computer science, electrical engineering, or related fields. Familiarity with tools like TensorFlow Lite, ONNX, microcontroller SDKs, and experience with real-time operating systems (RTOS) are typically required. Strong problem-solving, communication skills, and the ability to collaborate across multidisciplinary teams help you stand out in this role. These skills are crucial for efficiently deploying intelligent models on resource-constrained devices, ensuring optimal performance and seamless integration in real-world applications.

What are some common challenges faced by embedded machine learning engineers when deploying models to hardware devices?

One of the main challenges for Embedded Machine Learning Engineers is optimizing machine learning models to run efficiently on devices with limited memory, processing power, and energy capacity. Ensuring real-time performance while maintaining accuracy often requires model quantization, pruning, or using lightweight architectures. Additionally, engineers must carefully manage hardware-software integration and address issues like compatibility with various microcontrollers and ensuring secure, reliable updates for deployed models. Close collaboration with hardware engineers and software developers is essential to overcome these challenges and deliver robust embedded AI solutions.

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

AspectEmbedded Machine Learning EngineerFirmware Engineer
Required CredentialsBachelor's/Master's in Computer Science, Electrical Engineering, or related; knowledge of ML frameworksBachelor's in Electrical Engineering, Computer Engineering, or related; embedded systems experience
Work EnvironmentDevelops ML models for embedded devices, often in IoT or smart devicesDesigns and implements low-level firmware for hardware devices
Industry UsageTech companies, IoT, consumer electronics, automotiveConsumer electronics, automotive, industrial equipment

The Embedded Machine Learning Engineer focuses on integrating machine learning models into embedded systems, while the Firmware Engineer specializes in developing low-level software for hardware devices. Both roles require embedded systems knowledge but differ in their core focus and skill sets.

What are popular job titles related to Embedded Machine Learning Engineer jobs in Minneapolis, MN?

For Embedded Machine Learning Engineer jobs in Minneapolis, MN, the most frequently searched job titles are:

What job categories do people searching Embedded Machine Learning Engineer jobs in Minneapolis, MN look for?

The top searched job categories for Embedded Machine Learning Engineer jobs in Minneapolis, MN are:

Embedded Machine Learning Engineer jobs near you
Infographic showing various Embedded Machine Learning Engineer job openings in Minneapolis, MN as of June 2026, with employment types broken down into 24% Full Time, 74% Part Time, 1% Temporary, and 1% Nights. Highlights an 87% Physical, 2% Hybrid, and 11% Remote job distribution, with an average salary of $160,102 per year, or $77 per hour.

Embedded Software Engineer

Engage Technologies Corporation

Brooklyn Park, MN • On-site

$105K - $118K/yr

Full-time

Re-posted 28 days ago

Job description

SUMMARY:
We are looking for a skilled embedded software engineer to join our industrial printing solutions engineering team. You will be designing, developing, and testing embedded software, including analysis of requirements, coding, debugging, testing, troubleshooting, and documenting. You will be working on our current and next-generation high-resolution print controllers and printheads using the latest high-performance SOC application processors.
If you have solid software design skills and have a proven track record in embedded systems, firmware development, and a strong understanding of hardware and software integration, we invite you to apply.
KEY RESPONSIBILITIES:
  • Responsible for developing and implementing embedded software solutions for the high-resolution print controllers and printheads.
  • Collaborating with cross-functional teams, including hardware engineers and product managers, to define software requirements and specifications.
  • Conducting feasibility studies and system analysis to ensure software compatibility with hardware designs.
  • Write efficient, modular, and well-documented code.
  • Perform unit testing and debugging to ensure design meets product requirements.
  • Work with test engineers to test software performance and functionality.
  • Perform code and design review regularly.
  • Implement software updates and bug fixes based on feedback and testing results.
  • Contributing to the documentation and maintenance of software.
  • Provide customer and manufacturing support.
QUALIFICATIONS:
  • Bachelor of Science degree in Electrical Engineering, Computer Engineering, or a relevant engineering degree.
  • 4+ years of experience developing embedded software.
  • Excellent knowledge of embedded systems, embedded Linux, and real-time operating systems.
  • Good experience in hands-on development and troubleshooting embedded systems.
  • Good programming knowledge in C and C++ for embedded systems.
  • Experience with 32-bit and 64-bit microcontrollers and hardware-software integration.
  • Good knowledge of software configuration management tools, defect tracking tools, and code review.
  • Familiarity with reading electrical schematics and data sheets for components.
  • Automation experience. Ideally, coming from the industrial automation industry
  • Ability to work on multiple concurrent projects and adapt quickly to time-sensitive needs.
  • Strong interpersonal skills and customer service orientation.
  • Ability to work independently and as a member of a team.
WORKING CONDITIONS:
Physical Demands
  • The physical demands described here are representative of those that an employee must meet to successfully perform the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform these functions.
  • While carrying out the responsibilities of this role, the employee is routinely required to use skills requiring motor coordination with finger dexterity (e.g., assembly of small parts/components, machine operation, etc.) during most of a normal workday.
  • Regular verbal communication and hearing are also necessary. Occasionally, the employee may need to stand, walk, bend, kneel, crouch, or crawl. Lifting and/or moving items weighing up to 50 pounds may be required at times, typically from waist level and over distances up to 50 feet. This position also demands specific visual abilities, including close-up vision and the capacity to adjust focus.
Work Environment
  • The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodation may be made to enable individuals with disabilities to perform essential functions during most of a normal workday.
  • Clean office environment
  • Required to be exposed to an environment that involves some dirt, odors, noise, and similar elements during most of a normal workday.
  • Clean office environment.
  • Full-time, Onsite

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