Hardware Embedded Engineer at National Agency for Science and Engineering Infrastructure (NASENI)

Role Overview

• The Hardware Embedded Engineer enables AI deployment on physical and edge devices by designing efficient hardware and firmware systems. This role ensures AI models operate reliably beyond cloud environments.

Key Responsibilities

• Responsible for designing embedded hardware and low-level firmware for AI applications.
• Responsible for integrating AI models with physical and edge devices.
• Responsible for optimizing performance, power efficiency, and reliability.
• Responsible for supporting testing and deployment of embedded AI systems.

Required Experience & Skills

Required

• Experience in embedded systems, firmware development, or hardware engineering.
• Familiarity with deploying AI models on constrained devices.

Desirable

• Experience with edge AI or IoT systems.

Who This Role Is For / Not For

This Role Is For...

• Engineers passionate about deploying AI on physical and edge devices.
• Professionals experienced in embedded systems, firmware, and hardware integration.
• Individuals focused on performance, efficiency, and reliability.

This Role Is Not For...

• Software-only engineers without interest in hardware-level work.
• Candidates seeking purely theoretical or research-oriented roles.