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Hybrid Embedded Software Engineer Jobs in Utah (NOW HIRING)

Auria

Software Engineer - Sentinel

Ogden, UT · On-site

$70K - $175K/yr

Remote or hybrid options are not available. WHAT YOU CAN EXPECT TO DO: As a Software Engineer (SWE ... As a Software Engineer (SWE), you will be a pivotal member of the Command & Control Embedded ...

New

Auria

Software Engineer - Sentinel

Ogden, UT

$70K - $175K/yr

Remote or hybrid options are not available. WHAT YOU CAN EXPECT TO DO: As a Software Engineer (SWE ... Control Embedded Software Team (C2ES). You will be responsible for supporting the C2ES Team through ...

New

Draper

Senior Embedded Software Engineer

Clearfield, UT · On-site

$82K - $220K/yr

The Software Engineer (SMTS) works on mission-oriented projects that span from self-driving cars and unmanned vehicles to medical applications and fielded systems for battlefield situational ...

Draper

Senior Embedded Software Engineer

Clearfield, UT · On-site +1

$82K - $220K/yr

The Software Engineer (SMTS) works on mission-oriented projects that span from self-driving cars and unmanned vehicles to medical applications and fielded systems for battlefield situational ...

Gehc

Sr Software Engineer

Salt Lake City, UT · On-site

$118K - $156K/yr

The Senior Software Engineer has responsibilities that range from providing technical expertise and ... Build features such as web services and embedded control * Understand performance parameters and ...

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Hybrid Embedded Software Engineer information

What is the difference between Hybrid Embedded Software Engineer vs Firmware Engineer?

AspectHybrid Embedded Software EngineerFirmware Engineer
Required CredentialsBachelor's in Electrical Engineering, Computer Science, or related; experience with embedded systemsBachelor's in Electrical Engineering, Computer Science, or related; experience with firmware development
Work EnvironmentDesigning and integrating software across hardware platforms, often in cross-functional teamsDeveloping low-level code directly interacting with hardware, often in manufacturing or product development
Industry UsageAutomotive, IoT, consumer electronics, medical devicesConsumer electronics, IoT, industrial equipment, embedded systems

The Hybrid Embedded Software Engineer focuses on developing and integrating software that bridges hardware and software layers, often working on complex systems. Firmware Engineers primarily write low-level code that directly controls hardware components. While both roles require embedded systems knowledge, the hybrid engineer has a broader scope involving software integration, whereas firmware engineers specialize in low-level hardware interaction.

How do Hybrid Embedded Software Engineers typically collaborate with hardware teams during product development?

Hybrid Embedded Software Engineers often work closely with hardware engineers to ensure seamless integration between software and physical components. This collaboration involves frequent cross-functional meetings, joint debugging sessions, and hands-on testing to resolve issues at the intersection of hardware and software. Effective communication and flexibility are essential, as requirements may evolve based on hardware constraints or performance findings. This partnership is crucial for delivering robust, reliable embedded systems that meet both performance and safety standards.

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

To thrive as a Hybrid Embedded Software Engineer, you need strong proficiency in C/C++ programming, embedded systems design, and a degree in computer engineering or a related field. Familiarity with real-time operating systems (RTOS), microcontroller platforms, hardware debugging tools, and version control systems like Git is typically required. Excellent problem-solving, collaboration, and adaptability are crucial soft skills in this position. These abilities ensure the development of reliable, efficient embedded solutions and seamless integration between hardware and software components.

What is a Hybrid Embedded Software Engineer?

A Hybrid Embedded Software Engineer is a professional who designs, develops, and maintains software that runs on embedded systems, often integrating both hardware and software components. The 'hybrid' aspect refers to their ability to work across different platforms, such as combining traditional embedded programming with higher-level software, networking, or cloud-based solutions. These engineers typically write code in languages like C, C++, or Python and work closely with hardware engineers to ensure seamless integration of software and hardware. Their work is crucial in industries like automotive, IoT, robotics, and consumer electronics, where devices need to operate reliably and efficiently.
What are popular job titles related to Hybrid Embedded Software Engineer jobs in Utah? For Hybrid Embedded Software Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Hybrid Embedded Software Engineer jobs in Utah look for? The top searched job categories for Hybrid Embedded Software Engineer jobs in Utah are:
What cities in Utah are hiring for Hybrid Embedded Software Engineer jobs? Cities in Utah with the most Hybrid Embedded Software Engineer job openings:
Hybrid Embedded Software Engineer jobs near you
Infographic showing various Hybrid Embedded Software Engineer job openings in Utah as of July 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution.
AI Engineer IV (Embedded Software)

AI Engineer IV (Embedded Software)

Autonomous Solutions

Lehi, UT • On-site

$123K - $162K/yr

Full-time

Re-posted 12 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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