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Embedded Systems Engineer Jobs in Logan, UT (NOW HIRING)

Autonomous Solutions

Robot Chief Engineer

Mendon, UT · On-site

$189K - $221K/yr

As the Robot Chief Engineer for the Pallets & Bundles Division and Telehandler platform, you will ... embedded systems, hydraulics, or electromechanical platforms. * Experience supporting complex ...

Autonomous Solutions

Robot Chief Engineer

Mendon, UT · On-site

$189K - $221K/yr

As the Robot Chief Engineer for the Pallets & Bundles Division and Telehandler platform, you will ... perception systems, embedded systems, hydraulics, or electromechanical platforms.Experience ...

Autonomous Solutions

Robot Chief Engineer

Mendon, UT · On-site

$110 - $160/hr

As the Robot Chief Engineer for the Pallets & Bundles Division and Telehandler platform, you will ... embedded systems, hydraulics, or electromechanical platforms. * Experience supporting complex ...

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All JobsEmbedded Systems Engineer JobsEmbedded Systems Engineer Jobs in Logan, UT

Embedded Systems Engineer information

See Logan, UT salary details

$53.9K

$118.4K

$165.6K

How much do embedded systems engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for embedded systems engineer in Logan, UT is $118,412.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,200.00 and $141,000.00 per year, depending on experience, location, and employer.

What does an embedded systems engineer do?

An embedded systems engineer creates the software to control electronics or machines that are different from regular computers. This software needs to run on the specific hardware it controls. Their duties also include troubleshooting and testing. Essential skills include problem-solving, critical thinking, and communication. Work is typically in an office environment with full-time business hours. Educational qualifications include a bachelor’s or master’s degree in embedded systems engineering or a related field.

What are the key skills and qualifications needed to thrive as an embedded systems engineer, and why are they important?

To thrive as an Embedded Systems Engineer, you need strong proficiency in C/C++ programming, embedded hardware knowledge, and a degree in electrical engineering, computer engineering, or a related field. Familiarity with real-time operating systems (RTOS), microcontroller development platforms, and debugging tools like oscilloscopes and logic analyzers is typically required. Problem-solving, attention to detail, and effective teamwork are critical soft skills for success in this role. These skills and qualities are essential to design reliable embedded solutions that meet strict performance, safety, and efficiency requirements.

Are embedded systems engineers in demand?

Embedded systems engineers are in high demand due to the growth of IoT, automotive, healthcare, and consumer electronics industries. They typically require skills in programming languages like C and C++, and knowledge of hardware integration, with job opportunities expected to increase as embedded technology becomes more widespread.

What is the difference between Embedded Systems Engineer vs Firmware Engineer?

AspectEmbedded Systems EngineerFirmware Engineer
CredentialsBachelor's in Electrical Engineering, Computer Engineering, or related fields; certifications like Certified Embedded Systems EngineerBachelor's in Computer Engineering, Electrical Engineering; certifications like Certified Firmware Engineer
Work EnvironmentDesigning and developing embedded hardware/software for devices like automotive, medical, consumer electronicsWriting low-level code to optimize firmware for microcontrollers and embedded devices
Industry UsageUsed across automotive, aerospace, consumer electronics, industrial automationPrimarily in consumer electronics, IoT devices, and embedded hardware products

Both roles focus on embedded development but differ in scope. Embedded Systems Engineers work on both hardware and software integration, while Firmware Engineers specialize in writing low-level code for device firmware. Understanding these distinctions helps in choosing the right career path or job search focus.

What are some common challenges an embedded systems engineer faces when integrating hardware and software components?

Embedded Systems Engineers often encounter challenges when ensuring that hardware and software components work seamlessly together. These can include dealing with limited memory and processing power, timing constraints, and real-time performance requirements. Troubleshooting issues that arise from hardware-software interactions—such as driver compatibility, signal integrity, or power management—requires strong problem-solving skills and close collaboration with hardware designers and software developers. Engineers must frequently debug at both the hardware and code level, making attention to detail and cross-disciplinary communication essential in this role.

What is an embedded systems engineer?

Embedded Systems Engineers are professionals who design, develop, and maintain embedded systems—specialized computing systems that perform dedicated functions within larger mechanical or electrical systems. These engineers work with both hardware and software, often programming microcontrollers or microprocessors to control devices like automobiles, medical equipment, consumer electronics, and industrial machines. Their expertise ensures devices are efficient, reliable, and optimized for specific tasks, making embedded systems a crucial part of modern technology.
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Embedded Systems Engineer jobs near you
Infographic showing various Embedded Systems Engineer job openings in Logan, UT as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 81% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $118,412 per year, or $56.9 per hour.

AI Engineer IV (Embedded Software)

Autonomous Solutions

Mendon, UT • On-site

$114K - $150K/yr

Full-time

Re-posted 28 days ago

Job description

Autonomous Solutions Inc builds autonomous systems for fleets operating in demanding, high-risk, and repetitive environments. Founded in 2000, we've grown into one of the largest privately held robotics companies in the world, with deployments across heavy construction, agriculture, logistics, and landscaping. Our work is guided by seven core values: Simplicity, Safety, Transparency, Humility, Attention to Detail, Autonomy, and Growth. Being privately held means good ideas move quickly, ownership is real, and the work you do here shows up in the world.

As an AI Engineer IV (Embedded Software), you will deploy, optimize, and maintain AI capabilities on constrained hardware platforms within Autonomous Solutions Inc's robotics systems. You will ensure AI models operate reliably within tight compute and memory limits, integrating smoothly with firmware and robotics software. This role sits at the intersection of AI model deployment and embedded systems engineering, where real-time performance and hardware constraints matter as much as model accuracy.

Responsibilities

  • Deploy AI models onto constrained hardware and embedded platforms.

  • Optimize compute, memory, and power usage for real-time embedded operation.

  • Convert AI models into production-ready embedded libraries or hardware-optimized modules.

  • Tune real-time performance and latency to meet embedded system requirements.

  • Integrate AI models and algorithms that improve system efficiency and reliability.

  • Test and validate AI performance on embedded platforms for robustness and stability.

  • Collaborate with robotics, firmware, and software teams on embedded AI alignment.

  • Continuously improve embedded AI systems through updates, optimizations, and performance refinements.

Qualifications

  • Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related field.

  • 8+ years designing and implementing embedded real-time software systems using C/C++.

  • 3+ years deploying AI or ML models on embedded systems or constrained hardware.

  • Proficiency with ML inference runtimes such as TensorRT, ONNX Runtime, or TensorFlow Lite.

  • Experience optimizing compute, memory, and power for real-time embedded applications.

  • Familiarity with microcontrollers, embedded Linux, RTOS, or hardware accelerators.

  • Experience with large multithreaded embedded applications running on an RTOS.

Physical Requirements

  • Ability to remain in a stationary position at a computer workstation for extended periods.

  • Ability to operate a computer and other office productivity equipment continuously.

  • Ability to communicate and exchange information in person, via phone, and through electronic means.

  • Ability to traverse office, lab, data center, and field environments as required.

At Autonomous Solutions Inc, we are committed to fostering a diverse, inclusive, and equitable workplace where all employees and applicants have equal opportunities. We prohibit discrimination and harassment of any kind based on race, color, religion, sex, national origin, age, disability, genetic information, veteran status, sexual orientation, gender identity, or any other legally protected characteristic. Autonomous Solutions Inc complies with all applicable federal, state, and local laws regarding nondiscrimination in employment and is dedicated to providing reasonable accommodations for individuals with disabilities throughout the hiring process.

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