About the company
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Developer Advocate, Edge & IoT based in the United States. Join a forward-thinking technology environment where connectivity, edge computing, and artificial intelligence converge.
Responsibilities
- 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
- Build hands-on hardware demonstrations using devices such as Raspberry Pi, ESP32, cellular modems, and IoT gateways with SIM or eSIM connectivity
- Develop edge AI use cases combining IoT connectivity, private networking, edge computing, and AI inference
- Demonstrate compliance-focused configurations illustrating data residency, in-region inference, zero data retention, and private connectivity
- Create open-source resources: sample applications, starter kits, tutorials, and code repositories on GitHub
- Lead developer advocacy initiatives: technical videos, livestreams, workshops, tutorials, conference presentations, and community events
- Strengthen the product feedback loop by gathering insights from GitHub, Discord, Reddit, and X
- Support organic and AI-driven discovery through original, technically credible content
- Collaborate with Developer Relations, Product, Engineering, and content stakeholders
Requirements
- Experience in developer relations, developer advocacy, solutions engineering, or a related technical role, ideally within IoT, telecommunications, networking, cloud infrastructure, or developer-focused technology companies
- Demonstrated technical portfolio of projects, demonstrations, sample applications, tutorials, or technical presentations
- Hands-on experience writing, testing, and debugging C/C++ and Python for devices, along with JavaScript/TypeScript or Go for cloud and edge applications
- Familiarity with AI-assisted development tools such as Claude Code or Codex
- Practical knowledge of cellular or IoT connectivity including SIM/eSIM provisioning, APNs, LTE-M, NB-IoT; experience with Raspberry Pi, ESP32, cellular modems, or MQTT is highly desirable
- Solid understanding of networking concepts including BGP, IPsec, VPCs, and cloud interconnects
- Working knowledge of large language model inference and AI application patterns, including model serving, streaming, and agent tool use
- Experience designing and executing reliable performance benchmarks
- Excellent writing and research skills; strong video production, editing, and visual design capabilities
- Master's or PhD in Computer Science, Electrical Engineering, or a related technical discipline, or equivalent practical experience
- Familiarity with data residency, privacy, and security requirements in regulated industries is an advantage
- Experience delivering live technical demonstrations