AI Engineer IV (Embedded Software)

Autonomous Solutions • Mendon, UT

89d • Onsite

About The Position

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.

Requirements

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior