Описание
Accountabilities
- Design and publish technical benchmarks: Develop and execute repeatable performance tests measuring latency, throughput, reliability, and cost across connectivity, edge computing, and AI inference services. Document methodologies and results so developers can reproduce and validate findings.
- Build hands-on hardware demonstrations: Develop, deploy, and operate working solutions using real-world devices such as Raspberry Pi, ESP32, cellular modems, and IoT gateways equipped with SIM or eSIM connectivity. Demonstrate solutions in practical environments and participate in occasional field demonstrations and industry events.
- Develop edge AI use cases: Create reference applications that combine IoT connectivity, private networking, edge computing, and AI inference to demonstrate how organizations can deploy intelligent applications closer to their devices and users.
- Demonstrate compliance-focused configurations: Build practical examples illustrating data residency, in-region inference, zero data retention, and private connectivity to help organizations address security, privacy, and regulatory requirements.
- Create open-source resources: Publish and maintain sample applications, starter kits, tutorials, and code repositories on GitHub, ensuring compatibility with current APIs, software development kits, and device firmware.
- Lead developer advocacy initiatives: Produce high-quality technical videos, livestreams, workshops, tutorials, conference presentati
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