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Embedded Machine Learning Engineer Jobs in Utah (NOW HIRING)

AtlasIED

DSP Firmware Engineer

Sandy, UT · On-site

Proficiency in C/C++ programming languages for embedded systems. * Proficiency in python * Familiarity with Linux * Basic knowledge of core machine learning concepts * Experience with real-time audio ...

TEAL DRONES INC

Embedded OS Engineer

Salt Lake City, UT

$120.80K - $158.90K/yr

We need someone comfortable navigating low-level OS internals, Yocto's BitBake machinery, systemd ... embedded Linux engineering experience, including direct ownership of Yocto/BitBake build systems ...

RED CAT HOLDINGS

Embedded OS Engineer

Salt Lake City, UT

$120.80K - $158.90K/yr

We need someone comfortable navigating low-level OS internals, Yocto's BitBake machinery, systemd ... embedded Linux engineering experience, including direct ownership of Yocto/BitBake build systems ...

Autonomous Solutions

Perception Engineer III

Mendon, UT · On-site

$100.98K - $117.81K/yr

Contribute to machine learning-based perception pipelines as appropriate to project needs. * Write ... Familiarity with embedded Linux development. * Strong understanding of linear algebra and ...

Autonomous Solutions

Perception Engineer III

Mendon, UT · On-site

$100.98K - $117.81K/yr

Contribute to machine learning-based perception pipelines as appropriate to project needs. * Write ... Familiarity with embedded Linux development. * Strong understanding of linear algebra and ...

Pwc

US Tech - AI Engineering Manager

Salt Lake City, UT

$73.50K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced ... and embedded automated quality gates across CI/CD pipelines Travel Requirements Up to 20% Job ...

beatBread

AI Engineer

Saint George, UT · On-site

$50K - $90K/yr

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

beatBread

AI Engineer

Saint George, UT · On-site

About The Role As an AI Engineer, you will design, build, and deploy sophisticated AI solutions ... Collaborating closely with cross-functional teams, you will develop and optimize machine learning ...

Mariana Minerals

Extractive Metallurgist

Moab, UT · On-site

$100K - $160K/yr

You'll work closely with operations, engineers, machine learning experts, and data scientists to develop innovative solutions that improve efficiency, recovery, and throughput across our projects.

RLDatix

Data Scientist

Lehi, UT · On-site

This is an opportunity to work closely with data scientists, engineers, product leaders, and healthcare experts to design, build, and deploy production machine learning models and scalable data ...

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All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Utah

Embedded Machine Learning Engineer information

See Utah salary details

$63.7K

$139.6K

$158.4K

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

As of May 30, 2026, the average yearly pay for embedded machine learning engineer in Utah is $139,636.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,700.00 and $157,500.00 per year, depending on experience, location, and employer.

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

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 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 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 Utah? For Embedded Machine Learning Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Embedded Machine Learning Engineer jobs in Utah look for? The top searched job categories for Embedded Machine Learning Engineer jobs in Utah are:
What cities in Utah are hiring for Embedded Machine Learning Engineer jobs? Cities in Utah with the most Embedded Machine Learning Engineer job openings:
Embedded Machine Learning Engineer jobs near you

DSP Firmware Engineer

AtlasIED

Sandy, UT • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 27 days ago

Job description

POSITION SUMMARY

The DSP/Firmware Engineer role at AtlasIED involves the development of embedded Audio DSP and firmware and participation in Audio and Vision AI projects. This position exists to contribute expertise in digital signal processing and firmware development to enhance the company's audio and vision technologies.

 

ESSENTIAL FUNCTIONS                                                                                                                             

  • Design, develop, and maintain embedded firmware for Audio DSP systems.
  • Collaborate with cross-functional teams to integrate DSP algorithms into audio and vision AI projects.
  • Test and refine DSP algorithms and firmware for optimal performance.
  • Optimize performance and memory usage of DSP algorithms for embedded systems.
  • Troubleshoot and debug firmware and hardware issues related to DSP and firmware functionality.
  • Develop and implement DSP algorithms for real-time audio processing applications.
  • Write efficient and maintainable firmware code in C/C++ for embedded systems.
  • Conduct rigorous testing and iteration refinement of DSP algorithms and firmware.
  • Work closely with hardware engineers to ensure seamless integration of DSP functionalities.
  • Document design specifications, code, and test procedures for firmware projects 


POSITION QUALIFICATIONS

Core Position Qualities

  • Strong background in digital signal processing (DSP) and firmware development.
  • Proficiency in C/C++ programming languages for embedded systems.
  • Proficiency in python
  • Familiarity with Linux
  • Basic knowledge of core machine learning concepts
  • Experience with real-time audio processing and optimization techniques.
  • Ability to collaborate effectively within cross-functional teams.
  • Detail-oriented approach to testing and refining DSP algorithms and firmware.
  • Analytical Skills - Ability to use thinking and reasoning to solve a problem.
  • Communication, Oral/Written - Writes clearly and informatively; Edits work for spelling and grammar; presents numerical data effectively; Able to speak, read, count, and interpret written information in the English language.
  • Decision Making - Ability to make critical decisions while following company procedures.
  • Judgment - The ability to formulate a sound decision using the available information.
  • Organized - Possessing the trait of being organized or following a systematic method of performing a task.

Company Description

MiTek Corporation is a family owned and operated parent company to brands including MTX Audio, Xtant, Coustic and AtlasIED. MiTek's experience in designing, manufacturing, and selling high performance commercial, mobile, residential, marine, and motorsports audio has created some of the best equipment on the market.
MiTek offers a comprehensive benefits package along with long term growth opportunities across its many brands. Come join the family!