Embedded Software Engineer IV - AI Applications

Autonomous Solutions • Mendon, UT

1d

About The Position

At ASI , we are revolutionizing industries with state-of-the-art autonomous robotics solutions. Within the fields of agriculture, construction, landscaping, and logistics, we deliver technologies that enhance safety, productivity, and efficiency. With our core values of Simplicity , Safety , Transparency , Humility , Attention to Detail and Growth guiding everything we do, we're shaping the future of automation in dynamic markets. As an Embedded Software Engineer IV , you will focus on deploying, optimizing, and maintaining AI capabilities on constrained hardware platforms. In this role you will build on the foundation of our AI Applications with a deeper focus on embedded systems performance, efficient compute utilization, and real time reliability. You will ensure that AI models operate effectively within tight hardware limits and integrate smoothly with our robotics systems.

Requirements

• Bachelor's degree in Computer Engineering, Electrical Engineering, Computer Science, or a related technical field.
• 10+ years professional experience designing and implementing embedded, real-time software systems using C/C++ for embedded processors.
• Familiarity with large multithreaded embedded applications, running on an RTOS.
• Experience deploying AI or machine learning models on embedded systems or constrained hardware.
• Strong understanding of ML inference runtimes such as TensorRT, ONNX Runtime, OpenVINO, or TensorFlow Lite.
• Experience optimizing compute, memory, and power usage for real time embedded applications.
• Familiarity with microcontrollers, embedded Linux, real time operating systems, or hardware accelerators.
• Strong analytical and problem-solving skills with the ability to design efficient embedded AI solutions.

Responsibilities

• Deploy models onto constrained hardware and embedded systems.
• Optimize compute, memory, and performance for real time operation.
• Tune real time performance and collaborate with robot teams.
• Develop and integrate AI models and algorithms that enhance system efficiency and reliability.
• Convert AI models into production ready components such as embedded libraries or hardware optimized modules.
• Test, validate, and monitor AI performance on embedded platforms to ensure robustness and stability.
• Collaborate with robotics, firmware, and software teams to ensure embedded AI alignment with system requirements.
• Continuously improve embedded AI systems through updates, optimizations, and performance refinements.
• Stay current with embedded AI tools, runtimes, hardware accelerators, and optimization techniques.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 51-100 employees