Skill-Profil

Edge Computing for IoT

Edge computing: AWS Greengrass, Azure IoT Edge, fog computing, local inference

Embedded & IoT IoT Platforms

Rollen

wo dieser Skill vorkommt

Stufen

strukturierter Entwicklungspfad

Pflichtanforderungen

die anderen 2 optional

Embedded & IoT

IoT Platforms

17.3.2026

Wählen Sie Ihr aktuelles Level und vergleichen Sie die Erwartungen.

Was wird auf jedem Level erwartet

Die Tabelle zeigt, wie die Tiefe von Junior bis Principal wächst.

Rolle	Pflicht	Beschreibung
IoT Engineer		Understands edge computing concept for IoT: processing data on device instead of sending to cloud. Runs simple filters and aggregators on ESP32/Raspberry Pi.

Rolle	Pflicht	Beschreibung
IoT Engineer		Deploys edge computing on IoT gateways: AWS Greengrass, Azure IoT Edge. Implements local data processing and filtering. Synchronizes edge-cloud state.

Rolle	Pflicht	Beschreibung
IoT Engineer	Pflicht	Designs edge computing architecture for IoT: multi-tier (device → gateway → cloud). Implements ML inference on edge (TensorFlow Lite, ONNX). Enables OTA edge model updates.

Rolle	Pflicht	Beschreibung
IoT Engineer	Pflicht	Defines edge computing strategy: what to process on edge vs cloud. Establishes deployment and update standards for edge applications across the IoT device fleet.

Rolle	Pflicht	Beschreibung
IoT Engineer	Pflicht	Defines enterprise edge computing strategy for IoT. Evaluates KubeEdge, OpenYurt for edge cluster orchestration. Builds edge AI roadmap for industrial IoT.

Junior 1 Anforderungen

IoT Engineer

Understands edge computing concept for IoT: processing data on device instead of sending to cloud. Runs simple filters and aggregators on ESP32/Raspberry Pi.

Middle 1 Anforderungen

IoT Engineer

Deploys edge computing on IoT gateways: AWS Greengrass, Azure IoT Edge. Implements local data processing and filtering. Synchronizes edge-cloud state.

Senior 1 Anforderungen

IoT Engineer
Pflicht

Designs edge computing architecture for IoT: multi-tier (device → gateway → cloud). Implements ML inference on edge (TensorFlow Lite, ONNX). Enables OTA edge model updates.

Lead / Staff 1 Anforderungen

IoT Engineer
Pflicht

Defines edge computing strategy: what to process on edge vs cloud. Establishes deployment and update standards for edge applications across the IoT device fleet.

Principal 1 Anforderungen

IoT Engineer
Pflicht

Defines enterprise edge computing strategy for IoT. Evaluates KubeEdge, OpenYurt for edge cluster orchestration. Builds edge AI roadmap for industrial IoT.

Kommentare werden geladen...