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Embedded Machine Learning Engineer Jobs in Orem, UT

Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

Data Scientist

Lehi, UT ยท On-site

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Senior Data Scientist

Lehi, UT ยท On-site

$107K - $183K/yr

Applies developed knowledge and understanding of building large-scale machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages

Works closely with other Data Scientists, Application Engineering, Product Management, and Operational teams in designing, experimenting with, and implementing machine learning to drive operational ...

Senior Layout Extraction Engineer

Midvale, UT ยท On-site +1

$120K - $160K/yr

The Layout (FIRE) Extraction Engineer is an organized and highly motivated team player with strong ... using Machine Learning / AI (preferred) o Analytical & Problem-Solving Skills ยท Analysis and ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

... machine learning, and advanced programming algorithms; experience with computer networks, including network architecture, protocols, systems, and cloud networking concepts; experience with software ...

Sr Quality Engineer, Embedded

UT ยท On-site

$83K - $112K/yr

We're hiring a Senior-level Manual Test Engineer to own and drive high-quality testing outcomes ... when learning unfamiliar systems. * You bring strong judgment, actively seek feedback, and ...

Sr Quality Engineer, Embedded

Lehi, UT ยท On-site

$83K - $112K/yr

You will be adomain expert in test execution and quality risk, partnering closely with Engineering ... when learning unfamiliar systems. * You bring strong judgment, actively seek feedback, and ...

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Embedded Machine Learning Engineer information

See Orem, UT salary details

$60.9K

$133.3K

$151.3K

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

As of Jul 10, 2026, the average yearly pay for embedded machine learning engineer in Orem, UT is $133,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,300.00 and $150,400.00 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 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 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 Orem, UT? For Embedded Machine Learning Engineer jobs in Orem, UT, the most frequently searched job titles are:
Scientist, Electrical Engineer Digital Hardware Design

Scientist, Electrical Engineer Digital Hardware Design

L3Harris Technologies

Riverton, UT โ€ข On-site

Full-time

This job post hasย expired today.ย Applications are no longer accepted.


Job description

L3Harris is dedicated to recruiting and developing high-performing talent who are passionate about what they do. Our employees are unified in a shared dedication to our customersโ€™ mission and quest for professional growth. L3Harris provides an inclusive, engaging environment designed to empower employees and promote work-life success. Fundamental to our culture is an unwavering focus on values, dedication to our communities, and commitment to excellence in everything we do.

L3Harris is the Trusted Disruptor in defense tech. With customersโ€™ mission-critical needs always in mind, our employees deliver end-to-end technology solutions connecting the space, air, land, sea and cyber domains in the interest of national security.

Job Title: Scientist, Electrical Engineer (Digital Hardware Design)

Job Code: 38126

Job Location: Salt Lake City, Utah

Job Schedule: 9/80- employees work 9 out of 14 days- totaling 80 hours worked- and have every other Friday off

L3Harris is seeking a motivated Senior Hardware Engineer to design and deliver advanced, mission-critical digital circuit technology for military communications systems, including software-defined radio applications.

In this role, you will serve as a senior technical contributor, helping develop innovative digital hardware solutions for special operations and intelligence customers. You will work on complex national security challenges across areas such as threat deterrence, signals intelligence, cyber operations, machine learning, image processing, and data analytics. This position is part of a multidisciplinary team that values collaboration, innovation, and technical excellence.

Essential Functions

  • Provide hands-on technical expertise for digital hardware in communications systems programs.
  • Support the development of innovative electrical engineering solutions aligned with business objectives.
  • Develop circuit designs, requirements, design documentation, verification plans, procedures, and customer deliverables to meet program schedules.
  • Lead and support cross-functional teams in system architecture, design, root cause analysis, and issue resolution.
  • Design custom circuit card assemblies using FPGAs, embedded processors, networking components, and other electronics for challenging environmental conditions.
  • Apply knowledge of industry-standard interfaces such as 10GE, 40GE, 100GE, 10/100/1000BASE-T, SPI, UART, SDRAM, DDR3, DDR4, JESD, and PCIe.
  • Perform schematic capture, simulation, analysis, PCB layout, and hardware testing.
  • Contribute to algorithm development, implementation, system architecture, verification, and testing, with emphasis on military requirements.
  • Support proposal efforts through technical baseline reviews and engineering input.
  • Collaborate regularly with program leadership and cross-functional teams including software, systems, mechanical, and test engineering.
  • Participate in customer and program technical reviews and provide status updates on assigned work.
  • Travel up to 5% as required.

Qualifications

  • Bachelorโ€™s degree in Computer Science, Computer Engineering, Software Engineering, or Electrical Engineering with 12 years of relevant experience;ย  Graduate degree with 10 years of related experience.ย  In lieu of a degree, 16 years of related experience.
  • Active DoD Secret Security Clearance.

Preferred Additional Skills

  • Strong foundation in communications theory and electronic warfare.
  • Ability to work independently or lead multidisciplinary teams in the development of communications systems and assemblies.
  • Minimum of 8 years of circuit card assembly (CCA) and hardware design experience.
  • Proficiency with Xilinx, Altera, or similar FPGA tools, and Siemens EDA (Mentor Graphics).
  • Experience with high-speed communications and I/O design, including networking and isolation requirements.
  • Hands-on experience with lab equipment such as oscilloscopes, logic analyzers, spectrum analyzers, receivers, signal generators, BERTs, TDR, and similar test equipment.
  • Knowledge of industry trends and emerging technologies, with the ability to support roadmaps that improve capability while reducing cost, size, weight, and power.
  • Minimum of 4 years of experience in hardware verification, schematic capture, and PCB layout.
  • Familiarity with version control tools such as Git or ClearCase.
  • Familiarity with product lifecycle management tools such as Teamcenter.
  • Familiarity with Confluence or similar collaboration tools.

#LI-CS3

L3Harris Technologies is proud to be an Equal Opportunity Employer. L3Harris is committed to treating all employees and applicants for employment with respect and dignity and maintaining a workplace that is free from unlawful discrimination. All applicants will be considered for employment without regard to race, color, religion, age, national origin, ancestry, ethnicity, gender (including pregnancy, childbirth, breastfeeding or other related medical conditions), gender identity, gender expression, sexual orientation, marital status, veteran status, disability, genetic information, citizenship status, characteristic or membership in any other group protected by federal, state or local laws. L3Harris maintains a drug-free workplace and performs pre-employment substance abuse testing and background checks, where permitted by law.

Please be aware many of our positions require the ability to obtain a security clearance. Security clearances may only be granted to U.S. citizens. In addition, applicants who accept a conditional offer of employment may be subject to government security investigation(s) and must meet eligibility requirements for access to classified information.

By submitting your resume for this position, you understand and agree that L3Harris Technologies may share your resume, as well as any other related personal information or documentation you provide, with its subsidiaries and affiliated companies for the purpose of considering you for other available positions.

L3Harris Technologies is an E-Verify Employer. Please click here for the E-Verify Poster in English or Spanish. For information regarding your Right To Work, please click here for English or Spanish.