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Embedded Machine Learning Engineer Jobs in Orem, UT

Software Engineer II

Provo, UT

$92K - $126K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Active and ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Software Engineer II

Provo, UT

$92K - $126K/yr

... time systems, machine learning, cybersecurity, and DevOps. Join our team of creative problem ... Experience with hardware-software integration and embedded system testing. * Ability to obtain ...

AI Infrastructure Engineer IV

Lehi, UT · On-site

$100K - $132K/yr

As an AI Infrastructure Engineer IV , you will play a critical role in designing, building, and maintaining the systems that power our AI and machine learning capabilities. You will ensure our ...

Sr. Data Engineer

Draper, UT · On-site

$107K - $128K/yr

Essential Job Duties As a Senior Data Engineer, you will play a key role in designing, building ... Design, build, and operationalize machine learning pipelines for training, validation, deployment ...

Responsibilities : • Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems ...

S.) in Computer Science, Statistics, Mathematics, Engineering, or a related field. * 7+ years of experience in data science, applied AI, or machine learning, with a proven track record of delivering ...

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Establish financial visibility and governance models for AI and machine learning workloads ... Demonstrated ability to influence Engineering teams and drive operational change without direct ...

Works closely with Application Engineering, Product Management, and Operational teams in designing, experimenting-with, and implementing machine learning and analytical systems applied to design ...

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

Worksclosely withApplication Engineering,ProductManagement, and Operationalteams in designing, experimenting-with,and implementing machine learning and analytical systems applied to design ...

... machine learning and data engineering to develop scalable solutions. - Identify areas where resources fall short of needs and provide thoughtful and sustainable solutions to benefit the team - Be a ...

... machine learning, predictive modeling, and advanced analytics tools; proficient in multiple data-related programming languages • Proficient creating machine learning, predictive modeling, and ...

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Showing results 1-20

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:
Embedded Software Developer - Robotics (US Citizenship Required)

Embedded Software Developer - Robotics (US Citizenship Required)

Teledyne

Orem, UT

Full-time

Re-posted 24 days ago


Teledyne Technologies rating

8.7

Company rating: 8.7 out of 10

Based on 46 frontline employees who took The Breakroom Quiz

10th of 141 rated electronics manufacturers


Job description

Be visionary

Teledyne Technologies Incorporated provides enabling technologies for industrial growth markets that require advanced technology and high reliability. These markets include aerospace and defense, factory automation, air and water quality environmental monitoring, electronics design and development, oceanographic research, deepwater oil and gas exploration and production, medical imaging and pharmaceutical research.

We are looking for individuals who thrive on making an impact and want the excitement of being on a team that wins.

Job Description

** US Citizenship or Green Card Holder is required for this position. We are unable to hire individuals who need a work visa, are currently on a work visa, or individuals who will require work visa sponsorship in the future. **

At Teledyne FLIR in Orem, we design and develop unmanned aircraft systems and missioncritical payloads that operate in demanding environments. Our teams work closely with defense and security partners to deliver reliable, fielded systems where robustness, performance, and maintainability matter. We are a small, collaborative engineering team focused on solving real problems with disciplined engineering and clear ownership.

Job Summary:

We are seeking a Embedded Software Developer to develop and integrate software for small unmanned aircraft systems and associated subsystems. This is a handson, productfocused role spanning microcontrollers, RTOSbased systems, and embedded Linux. The ideal candidate is a strong individual contributor who can work independently, contribute effectively from day one, and reason about software behavior across hardware and software boundaries. This role values systemlevel awareness and the ability to participate meaningfully in architectural decisions while continuing to produce highquality embedded code.

Job Duties & Responsibilities:

  • Develop embedded software in C and C++ for microcontrollers, RTOSbased systems (e.g., Zephyr or similar), and embedded Linux platforms

  • Design and implement core embedded constructs such as state machines, timingsensitive logic, and basic algorithms

  • Integrate software across multiple interconnected processors and subsystems, including sensors, cameras, and payload devices

  • Develop and maintain lowlevel drivers and hardware interfaces

  • Work with common embedded communication protocols such as I2C, SPI, UART, and Ethernet

  • Perform systemlevel debugging using tools such as logic analyzers, oscilloscopes, and incircuit debuggers

  • Own features from initial design through implementation, integration, testing, and field support

  • Contribute to system architecture and interface design in collaboration with other engineers

  • Build and maintain internal tools, test utilities, and automation, often using Python

Job Qualifications:

  • Bachelor's degree required

  • 1-3+ years of professional experience developing embedded software for production systems

  • Strong proficiency in C and C++ for embedded targets

  • Experience working across multiple layers of an embedded system, including MCU firmware, RTOSbased software, and embedded Linux

  • Solid understanding of microcontroller peripherals and interdevice communication protocols

  • Demonstrated ability to debug complex hardware/software interactions and resolve systemlevel issues

  • Experience delivering reliable embedded software in a collaborative engineering environment

Helpful Experience (Nice to Have):

  • Experience with UAS software stacks or autopilot systems, particularly PX4, including integration with sensors, payloads, or higherlevel system components

  • Experience developing firmware for microcontrollers, including peripheral configuration and lowlevel driver development

  • Experience with realtime operating systems such as Zephyr, FreeRTOS, or similar

  • Board bringup and lowlevel hardware/software debugging experience

  • Familiarity with STM32, NVIDIA Jetson, or similar embedded platforms

  • Exposure to UAS, robotics, or other complex embedded systems

Applicants must be either a U.S. citizen, U.S. national, legal permanent resident, asylee, refugee or must be eligible to apply for and obtain the appropriate export control license from the U.S. Departments of State or Commerce.

About Teledyne FLIR Defense

Join Teledyne FLIR Defense, where we're dedicated to supporting critical missions with an exciting range of cutting-edge technologies. Our products include advanced surveillance sensors, unmanned air and ground vehicles, sensing devices used to detect chemicals, biological agents, radiation and explosives, and a host of other solutions that help warfighters, first responders, and search-and-rescue teams do their jobs better.

We're looking for passionate innovators eager to shape the future of the Defense and Public Safety industries. If you're mission-driven to globally collaborate on solutions that can change the battlefield and save lives, we invite you to explore our current opportunities.

#AnyThreatAnywhere

Teledyne and all of our employees are committed to conducting business with the highest ethical standards. We require all employees to comply with all applicable laws, regulations, rules and regulatory orders. Our reputation for honesty, integrity and high ethics is as important to us as our reputation for making innovative sensing solutions.

Teledyne is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age, or any other characteristic or non-merit based factor made unlawful by federal, state, or local laws.


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