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Embedded Machine Learning Engineer Jobs in Taylorsville, UT

Pwc

AI Engineer

Salt Lake City, UT · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

University of Utah

Data Scientists

Salt Lake City, UT · On-site

$75K - $105K/yr

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make ...

University Of Utah

Data Scientists

Salt Lake City, UT · On-site

Apply knowledge of statistics, machine learning, programming, data modeling, simulation, and advanced mathematics to recognize patterns, identify opportunities, pose business questions, and make ...

Berkadia

Product Manager - AI

Midvale, UT · Hybrid

This role will partner closely with business subject-matter experts, engineering, data, machine learning, and enterprise technology teams to translate business needs into scalable AI product ...

New

Berkadia

Product Manager - AI

Midvale, UT · On-site

This role will partner closely with business subject-matter experts, engineering, data, machine learning, and enterprise technology teams to translate business needs into scalable AI product ...

New

Stackruit Ltd.

Senior AI/ML Engineer

Draper, UT · On-site

$100 - $130/hr

You'll be a Senior AI/ML Engineer, designing and building AI-powered features like chatbots and ... Expertise in AI, machine learning, and natural language processing (NLP). * Strong communication ...

Pwc

CTIO AI Engineering Manager

Salt Lake City, UT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

CGI Inc.

Junior AI Engineer

Salt Lake City, UT · On-site

Understanding of machine learning fundamentals and Generative AI concepts * Hands-on experience working with Large Language Models (LLMs), including prompt engineering techniques * Experience ...

Jobtailor

Data Scientist

Lehi, UT · On-site

$90 - $130/hr

Python Programming * SQL Proficiency * Machine Learning ATS Optimization Keywords Hard Skills * Data Science * Statistical Methods * Model Evaluation * Data Cleaning * Data Transformation * Pattern ...

New

Pwc

NGA AI Engineer Manager

Salt Lake City, UT · On-site

$73K - $244K/yr

Those in data science and machine learning engineering at PwC will focus on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven ...

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Showing results 41-60

All JobsEmbedded Machine Learning Engineer JobsEmbedded Machine Learning Engineer Jobs in Taylorsville, UT

Embedded Machine Learning Engineer information

See Taylorsville, UT salary details

$65.8K

$144.2K

$163.6K

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

As of Aug 19, 2026, the average yearly pay for embedded machine learning engineer in Taylorsville, UT is $144,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,600.00 and $162,600.00 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 cities near Taylorsville, UT are hiring for Embedded Machine Learning Engineer jobs?

Cities near Taylorsville, UT with the most Embedded Machine Learning Engineer job openings:

Embedded Machine Learning Engineer jobs near you
Infographic showing various Embedded Machine Learning Engineer job openings in Taylorsville, UT as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $144,173 per year, or $69.3 per hour.

Senior Embedded Systems Engineer (Wireless Product Development)

PassiveLogic

Salt Lake City, UT • On-site

Full-time

PTO

Posted 27 days ago

Job description

Senior Embedded Systems Engineer (Wireless Product Development)
About the Role
As an Embedded Systems Engineer at PassiveLogic, you'll co-lead the development of our suite of wireless products, from zero to manufacture. You'll collaborate closely with the electrical, mechanical, industrial design, and verification/validation (V&V) teams to deliver robust, innovative solutions. This role demands a disciplined, independent leader with stellar embedded software skills, a systems-level mindset and the ability to self-teach and solve tough problems. You will contribute to shaping the product vision, drive its execution, and ensure it meets our standards for quality and efficiency.
About PassiveLogic®
PassiveLogic is the first fully autonomous platform for buildings. We've reinvented the fundamental principles of automation to democratize technology, optimize buildings, and reduce the world's carbon footprint. We are a team of technologists, engineers, and creatives dedicated to making a sustainable impact through real-world solutions.
We are looking for team members who have a passion for technology and who want to work on cutting-edge problems with real-world solutions. Our culture is built on bringing together the most talented engineers, thinkers, and creatives-backed by the world's leading investors-working together to make the future a reality.
What you'll do
Develop embedded systems: Lead the end-to-end development of ultra-low-power wireless devices, from architecture design to high-volume production. Write and optimize production-ready C code for embedded systems running TI-RTOS and Zephyr RTOS.
Develop proprietary sub-Gig wireless protocol: Lead the architecture, implementation, and refinement of a custom sub-GHz wireless protocol. Evaluate technical tradeoffs present throughout the development process.
Optimization and systems engineering: Apply math and physics expertise for power accounting and systems-of-systems optimization in resource-constrained environments.
Test and validate embedded systems: Design and implement HIL/SIL testing frameworks to validate robust, fail-safe code before V&V handoff. Collaborate with electrical, mechanical and industrial design teams to maintain product visionalignment.
Develop software and version control: Leverage Git for version control, maintaining clean, modular codebases and streamlined team workflows; Use Python, Bash, and Linux to automate workflows, analyze data, and enhance development processes.
Integrate hardware and debug software: Perform hands-on board bring-up and system debugging to integrate hardware and software seamlessly.
What you'll bring
If your experience does not meet all our posted requirements below, we'd still love to hear from you. We are looking for practitioners who are passionate about understanding people, committed to lifelong learning, and driven by the love of what they do. If that's you, please apply!
You Must Have
Proven Experience:
  • Degree in Electrical Engineering, Computer Engineering, Computer Science, or related field-or proven exceptional ability through experience.
  • 6+ years in embedded software development, with deep expertise in C and real-time operating systems (TI-RTOS, Zephyr RTOS).
  • Proficiency in Git for version control, collaboration, and maintaining high-quality codebases.
  • Strong skills in Python, Bash, and Linux for scripting and system management.
  • Track record of delivering high-quality, production-grade code with rigorous HIL/SIL testing.
  • Strong systems-level thinking for ultra-low-power wireless designs, backed by solid math and physics fundamentals.

Exceptional Communication Skills: An ability to document/communicate clearly to effectively lead, mentor, and align teams.
Organized and Strategic: An organized, structured approach to complex project leadership and an enthusiasm for owning work within the context of the big picture.
Collaborative Mindset: You thrive in cross-disciplinary teams, knowing the best hardware is built when everyone's brainpower is in the mix.
Adaptability: Comfortable in a fast-paced startup environment, eager to learn, iterate, and innovate.
Problem solving: You own this role. When issues arise, be the empowered force that solves them, rolling-up to product management and leadership.
A self-driven curious mindset: Able to independently research, learn, and solve complex challenges. Experiencewith (or a desire to explore) setting up and deploying AI-assisted testing systems is a bonus.
You should have
  • Experience with schematic capture and board layout using Altium.
  • Familiarity with engineering design and analysis using spreadsheets (e.g., power budgeting, system modeling).
  • Knowledge of ultra-low-power wireless protocols (e.g., IEEE 802.15.4, BLE, 900MHz)
  • Familiarity with RF design and compliance testing.

It's helpful to have
  • Familiarity with the startup environment.
  • Experience interfacing with overseas vendors and supporting the manufacturing process.
  • Background in mentoring junior engineers or leading cross-functional teams.
  • Personal projects showcasing initiative and technical depth (include these with your application!).

Compensation, Benefits & Perks:
  • Competitive compensation
  • Generous equity share package
  • Flex PTO
  • In-office lunch
  • Fun office-wide activities quarterly
  • Worldwide ski/snowboard pass

When applying, include:
  • A cover letter telling us why you're the perfect candidate for PassiveLogic and this role
  • A resume
  • Extra mile - include a description of a project (of any type) you personally created, devised, built, managed, organized, or designed that was of your own self-initiative

Diversity and inclusion
Diversity, inclusion, and belonging is woven into our values and everything we do. We welcome all-come as you are and bring your whole self. We are proud to be an Equal Opportunity Employer. We celebrate diversity every day by maintaining a safe and inclusive environment for our employees at every stage of their careers.
Department Hardware Engineering Role Embedded Locations Salt Lake City Employment type Full-time

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