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Embedded Rtos Jobs in Utah (NOW HIRING)

Raytheon

Senior Embedded Software Engineer

Provo, UT

$117K - $153K/yr

Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) * Experience developing complex systems involving the integration of ...

Raytheon

Senior Embedded Software Engineer

Provo, UT

$117K - $153K/yr

Experience using embedded Real Time Operating Systems (RTOS) (e.g., Green Hills, Integrity, Wind River VxWorks, Linux, etc.) * Experience developing complex systems involving the integration of ...

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Embedded Rtos information

What are some typical challenges faced when developing software for embedded RTOS environments?

Developing software for embedded RTOS (Real-Time Operating System) environments often involves unique challenges such as managing limited memory and processing resources, ensuring deterministic real-time performance, and debugging in resource-constrained systems. Team members frequently collaborate closely with hardware engineers to optimize code for specific microcontrollers or processors. Additionally, balancing task prioritization and inter-task communication to avoid deadlocks or priority inversion is a common focus. These complexities make strong problem-solving skills and attention to detail particularly valuable in this role.

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

To thrive as an Embedded RTOS Engineer, you need a strong background in embedded systems programming, real-time operating system (RTOS) concepts, and a relevant degree in computer engineering or a related field. Familiarity with tools like Keil, IAR Embedded Workbench, and experience with RTOS platforms such as FreeRTOS or VxWorks, along with certifications like Certified Embedded Systems Engineer, are highly valuable. Attention to detail, problem-solving abilities, and effective teamwork are crucial soft skills that enhance performance in this role. These competencies are essential for designing reliable, efficient, and responsive embedded solutions that meet stringent real-time requirements.

What is an Embedded RTOS?

An Embedded RTOS (Real-Time Operating System) is a specialized operating system designed to manage hardware resources and run applications with precise timing requirements in embedded systems. Unlike general-purpose operating systems, an RTOS ensures that tasks are executed predictably and meet strict deadlines, which is crucial in applications like automotive systems, medical devices, and industrial automation. Embedded RTOSs provide features like multitasking, task scheduling, and inter-task communication, all optimized for resource-constrained environments. They help developers create reliable, efficient, and responsive embedded applications.

What is the difference between Embedded Rtos vs Firmware Engineer?

AspectEmbedded RtosFirmware Engineer
CredentialsKnowledge of RTOS, embedded systems, C/C++Embedded systems, C/C++, hardware understanding
Work EnvironmentEmbedded systems development, real-time applicationsHardware interfacing, low-level programming
Industry UsageConsumer electronics, automotive, IoT devicesConsumer electronics, aerospace, medical devices

Embedded Rtos specialists focus on designing and implementing real-time operating systems for embedded devices, ensuring system responsiveness and multitasking. Firmware Engineers develop low-level software that directly interacts with hardware components, often working within embedded environments. While both roles require embedded systems knowledge, Embedded Rtos professionals specialize in real-time OS development, whereas Firmware Engineers focus on hardware-software integration and low-level programming.

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Embedded Rtos jobs near you
AI Engineer IV (Embedded Software)

AI Engineer IV (Embedded Software)

Autonomous Solutions

Mendon, UT • On-site

$145K - $169K/yr

Full-time

Posted 15 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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