Position Overview

We are seeking a highly skilled Embedded Software Engineer (Edge Developer) with hands-on experience in IoT and edge computing environments. The ideal candidate will design, develop, and deploy containerized applications on Linux-based edge devices, optimize computer vision workloads, and build secure, event-driven systems for real-time data processing.

This role requires both deep technical execution and the ability to provide architectural guidance, best practices, and mentorship to client project teams.

Key Responsibilities

Edge & Embedded Development

• Design and develop edge applications using Python and/or .NET (C#).
• Deploy and manage containerized workloads using Docker on Linux-based edge devices.
• Implement and optimize computer vision models for real-time inference on edge hardware.
• Integrate camera feeds using RTSP, ONVIF, and relevant video processing frameworks.
• Build event-driven architectures leveraging MQTT and lightweight messaging protocols.
• Ensure secure device communication and adherence to IoT security best practices.

Architecture & Deployment

• Design scalable and secure edge architectures.
• Support device orchestration and lifecycle management (e.g., Zededa preferred).
• Contribute to CI/CD and MLOps pipelines for automated, secure edge deployments.
• Implement secure device onboarding and certificate rotation mechanisms.

Project Delivery & Collaboration

• Develop and document process flows and technical design artifacts.
• Participate as primary, co-, or contributing author for assigned project deliverables.
• Support data conversion and ongoing data maintenance activities.
• Provide industry best practices and recommend alternative/out-of-the-box solutions.
• Deliver both thought leadership and hands-on technical configuration/development.
• Mentor client team members and provide structured knowledge transfer.
• Collaborate as an active member of cross-functional teams.
• Perform additional responsibilities as assigned.

Required Qualifications

• 3–7 years of experience in IoT, edge computing, or embedded systems.
• Strong proficiency in Python and/or .NET (C#).
• Hands-on experience with Docker and containerized deployments.
• Experience deploying and optimizing computer vision models on edge devices.
• Familiarity with camera protocols (RTSP, ONVIF) and video processing frameworks.
• Strong understanding of MQTT and event-driven messaging systems.
• Experience working with Linux-based edge hardware.
• Practical knowledge of IoT security and secure communication protocols.

Preferred Qualifications

• Experience with ZEDEDA for edge orchestration and lifecycle management.
• Familiarity with CI/CD pipelines and MLOps practices.
• Understanding of secure edge architecture, device onboarding, and certificate lifecycle management.

Key Competencies

• Strong troubleshooting and performance optimization skills.
• Ability to work independently in distributed edge environments.
• Clear documentation and communication skills.
• Solution-oriented mindset with a balance of innovation and practicality.
• Experience mentoring junior engineers or client technical teams.