AI Firmware Engineer / Embedded ML Engineer / Edge Systems Engineer

⚡ Build Intelligent Edge Systems – Singapore (Flexible Work Setup)

Are you ready to work on cutting-edge AI firmware and embedded systems that power next-generation devices?

Construction Innovation is expanding its tech team and is seeking top talent for:

AI Firmware Engineer / Embedded ML Engineer / Edge Systems Engineer

This is a rare opportunity to contribute to AI at the edge, developing systems that are efficient, scalable, and mission-critical.

💡 What You’ll Be Doing:

In this role, you will:

Design, develop, and optimize AI firmware and embedded ML systems

Build edge computing solutions that run AI models efficiently on devices

Collaborate with hardware, software, and AI teams to integrate intelligent systems

Ensure system reliability, performance, and low-latency inference

Research and implement state-of-the-art techniques for edge AI deployment

🌟 Why This Opportunity Stands Out:

Cutting-Edge Technology: Work at the frontier of AI, firmware, and embedded systems

High-Impact Work: Your systems will power real-world applications on the edge

Career Growth: Pathway to Embedded AI Lead, Edge Systems Architect, or Firmware Specialist

Innovative Team: Collaborate with engineers who value experimentation, learning, and technical excellence

Flexible Work Setup: Part-Time, Full-Time, or Hybrid arrangements available

🎯 Who We’re Looking For:

Ideal candidates are

Experienced in embedded systems, firmware, or edge AI deployment

Skilled with languages like C/C++, Python, or relevant embedded frameworks

Familiar with AI/ML model optimization for edge devices

Strong problem-solvers with a passion for building high-performance systems

🔥 Why Join Construction Innovation?

At Construction Innovation, AI is not just a project — it’s embedded into real-world systems. You’ll join a team building intelligent edge solutions that combine hardware, software, and AI innovation, directly impacting industry applications.

This role is perfect if you want to:

Work on AI firmware and edge computing at scale

Gain hands-on experience with embedded ML deployment

Accelerate your career into senior or specialized AI hardware/software roles

📩 Interested?

Send your email or Teams ID, and our hiring team will walk you through the role, projects, and growth opportunities — so you can decide with all the information in hand.