Embedded AI Engineer – Virtualization & Edge Systems

Position Summary

The Embedded AI Engineer is responsible for designing, developing, and optimizing AI-enabled embedded platforms leveraging virtualization technologies such as the Xen Project hypervisor for secure, scalable, and real‑time edge computing environments. This role focuses on integrating AI workloads with embedded operating systems, RTOS platforms, and virtualized infrastructure for automotive, robotics, industrial, telecom, and edge AI applications. The engineer will work across embedded Linux, hypervisors, hardware acceleration, AI frameworks, and real‑time systems to deliver high‑performance, safety‑focused, and isolated compute environments for next‑generation intelligent devices.

Key Responsibilities

• Design and develop embedded AI platforms utilizing virtualization and hypervisor technologies including Xen‑based architectures.
• Develop and optimize AI/ML work...