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Embedded System Engineer Internship Jobs in Utah

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Embedded Software Engineer

Vineyard, UT ยท On-site

$110K - $165K/yr

The Embedded Software Engineer will be responsible for developing high quality software solutions ... Prior experience with low level embedded systems, hardware, and Linux is required. Primary Duties ...

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Embedded System Engineer Internship information

What are Embedded System Engineer Internships?

Embedded System Engineer Internships are temporary positions designed for students or recent graduates to gain practical experience in designing, developing, and testing embedded systems. Interns typically work with microcontrollers, sensors, and real-time operating systems to help build products like consumer electronics, automotive systems, or IoT devices. These internships provide valuable hands-on experience in both hardware and software aspects of embedded systems, making them an excellent starting point for a career in embedded engineering.

What is the difference between Embedded System Engineer Internship vs Embedded Software Developer Internship?

AspectEmbedded System Engineer InternshipEmbedded Software Developer Internship
Required CredentialsTypically pursuing or holding a degree in Electrical Engineering, Computer Engineering, or related fieldsSimilar educational background, often with focus on software development
Work EnvironmentHands-on hardware and firmware development, working with microcontrollers and embedded devicesPrimarily software coding, testing, and debugging embedded applications
Industry UsageUsed in industries like automotive, consumer electronics, and IoTCommon in tech companies, startups, and embedded systems firms
Search & Comparison IntentInterested in hardware-software integration roles in embedded systemsFocused on software development within embedded environments

While both internships involve embedded systems, the Embedded System Engineer Internship emphasizes hardware and firmware work, whereas the Embedded Software Developer Internship centers on software coding and debugging. Your choice depends on whether you prefer working with hardware components or software development within embedded systems.

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

To thrive as an Embedded System Engineer Intern, you need a solid understanding of programming languages like C/C++, basic electronics, and embedded systems concepts, often supported by coursework in computer engineering or related fields. Familiarity with microcontroller platforms (such as ARM or Arduino), debugging tools, and version control systems like Git is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and tackle complex technical challenges. These skills are crucial for successfully contributing to embedded projects and adapting quickly to real-world engineering environments.

What kinds of projects or tasks can I expect to work on during an Embedded System Engineer Internship?

As an Embedded System Engineer Intern, you will typically be involved in tasks such as assisting with firmware development, testing and debugging embedded software, and supporting hardware integration efforts. Interns often collaborate closely with experienced engineers, contributing to real-world projects like sensor interfacing, microcontroller programming, or system validation. Expect a combination of hands-on technical work and learning opportunities designed to build your understanding of embedded systems. This role also encourages teamwork and communication, as you may participate in code reviews, technical discussions, and project meetings.
What cities in Utah are hiring for Embedded System Engineer Internship jobs? Cities in Utah with the most Embedded System Engineer Internship job openings:
Infographic showing various Embedded System Engineer Internship job openings in Utah as of June 2026, with employment types broken down into 61% Full Time, 35% Part Time, and 4% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
AI Engineer IV (Embedded Software)

AI Engineer IV (Embedded Software)

Autonomous Solutions

Mendon, UT โ€ข On-site

$145K - $169K/yr

Full-time

Posted 29 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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