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Embedded Engineer Jobs in Logan, UT (NOW HIRING)

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

Integrate perception software with ASI's autonomous vehicle platforms, embedded computing systems ... Partner with systems engineers to define interfaces, requirements, failure responses, and ...

Autonomous Solutions

Perception Engineer IV

Mendon, UT · On-site

$128K - $169K/yr

Integrate perception software with ASI's autonomous vehicle platforms, embedded computing systems ... Partner with systems engineers to define interfaces, requirements, failure responses, and ...

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All JobsEmbedded Engineer JobsEmbedded Engineer Jobs in Logan, UT

Embedded Engineer information

See Logan, UT salary details

$60.3K

$132.1K

$149.9K

How much do embedded engineer jobs pay per year?

As of Jul 23, 2026, the average yearly pay for embedded engineer in Logan, UT is $132,128.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,300.00 and $149,000.00 per year, depending on experience, location, and employer.

What engineers make $500,000?

Senior engineers in specialized fields such as software, electrical, or systems engineering can earn $500,000 or more annually, especially with extensive experience, advanced skills, and leadership roles. High compensation often involves working in industries like technology, aerospace, or finance, and may include bonuses, stock options, or profit sharing.

What engineers make $300,000 a year?

Senior embedded engineers with extensive experience, specialized skills in hardware and software integration, and often advanced certifications can earn $300,000 or more annually. High compensation is typically associated with leadership roles, working in high-demand industries like aerospace or defense, or in companies with competitive pay structures.

What is the difference between Embedded Engineer vs Firmware Engineer?

AspectEmbedded EngineerFirmware Engineer
Required CredentialsBachelor's in Electrical, Computer Engineering, or related fields; certifications like ARM or IoT certifications are commonBachelor's in Computer Engineering, Electrical Engineering, or related; often similar certifications in embedded systems or firmware development
Work EnvironmentDesigning and developing hardware-software integrated systems, often in industrial, automotive, or consumer electronicsWriting, testing, and debugging low-level code that runs directly on hardware devices like microcontrollers or embedded processors
Employer & Industry UsageElectronics manufacturers, automotive, aerospace, IoT companiesConsumer electronics, IoT devices, medical devices, automotive systems

Embedded Engineers and Firmware Engineers often work closely, but Embedded Engineers focus on both hardware and software integration, while Firmware Engineers specialize in low-level code development that runs directly on hardware. Both roles require similar skills and certifications, but their primary focus and work environment differ slightly.

What does an embedded engineer do?

An embedded engineer designs, develops, and tests software and hardware for embedded systems, which are specialized computing devices within larger systems such as appliances, vehicles, or industrial machines. They work with microcontrollers, real-time operating systems, and programming languages like C or C++, often collaborating with hardware engineers to ensure system functionality and reliability.

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

To thrive as an Embedded Engineer, you need a solid background in computer science or electrical engineering, with strong skills in C/C++, microcontroller programming, and embedded systems design. Familiarity with real-time operating systems (RTOS), hardware debugging tools, and version control systems like Git is typically required, and certifications such as Certified Embedded Systems Engineer (CESE) can be beneficial. Strong problem-solving abilities, attention to detail, and effective communication are standout soft skills in this field. These competencies are crucial for developing reliable, efficient embedded solutions that integrate seamlessly with hardware and meet user requirements.

What are some common challenges faced by Embedded Engineers when working on cross-functional teams?

Embedded Engineers often collaborate closely with hardware designers, software developers, and test engineers, which can present challenges related to communication and integration. Aligning the firmware with hardware specifications, managing resource constraints, and ensuring timely debugging across different platforms are frequent hurdles. To succeed, Embedded Engineers need strong communication skills and a collaborative mindset to bridge gaps between disciplines and deliver cohesive, reliable systems.

Will an embedded engineer be replaced by AI?

Embedded engineers design and develop software and hardware for embedded systems, and while AI can automate certain tasks like testing and data analysis, it is unlikely to fully replace the need for human engineers who require specialized knowledge of hardware, real-time constraints, and system integration. AI tools can augment their work but do not currently replace the critical thinking and problem-solving skills essential to the role.
What are popular job titles related to Embedded Engineer jobs in Logan, UT? For Embedded Engineer jobs in Logan, UT, the most frequently searched job titles are:
What job categories do people searching Embedded Engineer jobs in Logan, UT look for? The top searched job categories for Embedded Engineer jobs in Logan, UT are:
Embedded Engineer jobs near you
Infographic showing various Embedded Engineer job openings in Logan, UT as of July 2026, with employment types broken down into 90% Full Time, 8% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $132,128 per year, or $63.5 per hour.
AI Engineer IV (Embedded Software)

AI Engineer IV (Embedded Software)

Autonomous Solutions

Mendon, UT • On-site

$145K - $169K/yr

Full-time

Posted 4 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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