Senior Embedded Software Engineer (Linux | Edge AI | Jetson Platform)

Edge Computing | AI Vision | Smart Manufacturing | HC:3

Why This Role

Join a fast-growing, profitable AI startup that is redefining manufacturing quality control through edge AI vision systems.

You will build the core software powering real-world AI devices deployed on production lines, working at the intersection of Embedded Linux, AI, and scalable edge systems.

This is a high-impact role where your work directly improves throughput, quality, and efficiency for global manufacturers.

What You’ll Do

Own the Edge System Stack

• Develop and maintain system-level and application-level software for edge AI devices
• Ensure device reliability, scalability, and field stability across deployments

Build Production-Ready Software

• Design and implement OTA (over-the-air) update systems for deployed device fleets
• Develop Python-based application logic for device control, monitoring, and data flow
• Work with C/C++ components for performance-critical features

Deep Linux Engineering

• Debug and optimize Embedded Linux systems across services, containers, and applications
• Tune performance across kernel, system services, Docker containers, and user-space applications

System Integration & Collaboration

• Work closely with hardware vendors to diagnose system-level issues
• Collaborate with backend teams to ensure robust device–cloud communication
• Package and deploy software using Docker-based workflows

Technical Ownership

• Take end-to-end ownership of features from design to deployment
• Mentor team members through code reviews and technical guidance

What We’re Looking For

Core Requirements

• Bachelor’s or Master’s in Computer Science, Electrical Engineering, or related field
• 5–7+ years of experience in Embedded Linux / systems software development
• Strong experience in C++ and/or Python in Linux environments
• Hands-on experience with Embedded Linux platforms / SBCs (e.g., Jetson, ARM-based systems)
• Fluent in English

System & Networking Knowledge

• Solid understanding of Linux system internals and debugging (systemd, logs, services)
• Experience with Docker containerization and deployment workflows
• Understanding of networking fundamentals (TCP/IP, TLS/HTTPS, routing)

Mindset & Collaboration

• Strong problem-solving skills with an ownership-driven mindset
• Comfortable working independently in a fast-paced, product-driven environment
• Clear communication skills and ability to collaborate across teams

Nice to Have

• Experience building OTA/update systems for edge devices
• Familiarity with Node-RED, Flask, REST APIs
• Background in industrial automation (PLC, ladder logic, structured text)
• Knowledge of industrial protocols (EtherNet/IP, Profinet, Modbus, CANbus, etc.)
• Experience with video processing (OpenCV, GStreamer)
• Exposure to device fleet management and large-scale deployments