
Senior Edge Computing Specialist
4 days ago
We are seeking a seasoned Edge Computing Professional to design, develop, and optimize cutting-edge solutions at the intersection of 5G, cloud-edge integration, and AI at the edge.
Key Responsibilities:
- Design and implement scalable edge computing architectures leveraging 5G networks and cloud-edge integration.
- Deploy and optimize AI/ML models on edge devices for real-time inference and analytics.
- Integrate edge platforms with cloud systems (AWS IoT Greengrass, Azure IoT Edge, Google Edge TPU) for seamless data and workload management.
- Develop and tune edge solutions to support ultra-reliable, low-latency communication (URLLC) for IoT, AR/VR, Industry 4.0, and smart city applications.
- Implement security protocols, data privacy, and compliance standards in edge deployments.
- Collaborate with network engineers, AI developers, and cloud teams to deliver end-to-end solutions.
- Monitor, debug, and optimize edge systems for high availability and reliability.
Requirements:
- Strong understanding of 5G architecture, MEC (Multi-access Edge Computing), and IoT ecosystems.
- Hands-on experience with containerization (Docker, Kubernetes, KubeEdge).
- Proficiency in programming languages such as Python, C++, or Go.
- Experience with AI/ML frameworks (TensorFlow Lite, PyTorch Mobile, OpenVINO, NVIDIA Jetson).
- Knowledge of real-time data processing (Kafka, MQTT, EdgeX Foundry).
- Familiarity with cloud platforms (AWS, Azure, GCP) and their edge services.
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