Embedded Systems Engineer Intern; On-site

Embedded Systems Engineer Intern (On-site)

On-site

Internship

We are looking for an intern to develop, deploy, and maintain embedded environmental monitoring systems for a rural IoT site. You will work on ESP
32-based sensor nodes, field hardware installation, Home Assistant integration, Cloudflare networking, and system reliability improvements.

• Install, calibrate, and maintain environmental sensors (temperature, flow, ultrasonic, septic level, TDS, turbidity).
• Build and integrate hardware with ESP
  32 microcontrollers using ESPHome.
• Assemble robust field enclosures (IP-rated boxes, cable glands, waterproof routing).
• Diagnose wiring issues, sensor noise, power instability, and field connectivity problems.

• Develop and update ESPHome YAML configurations for ESP
  32 devices.
• Design basic circuits and interface sensors to microcontrollers.
• Ensure reliable measurement accuracy and long-term field operation.
• Configure sensors, dashboards, entities, automations, and Elasticsearch charts.
• Manage the Home Assistant server (Ubuntu + Virtual Box).
• Maintain long‑range remote access via Cloudflare Tunnel.

• Configure Cloudflare Zero Trust tunnels for Home Assistant, Linux hosts, and Shinobi CCTV.
• Maintain DNS routing, config.yml files, tunnel credentials, and systemd services.
• Set up static IPs with Netplan YAML and ensure stable Ethernet‑based networking.
• Deploy LAN‑only surveillance systems using Shinobi.
• Configure ONVIF/RTSP cameras and low‑power Pi Zero 2W tunnel endpoints.
• Maintain a secure, cloud‑independent camera network.

• Maintain sensor indexes, installation guides, and network documentation.
• Support capstone project teams with wiring, integration, and embedded system guidance.

• Experience with ESP
  32 microcontrollers and embedded sensor integration.
• Familiarity with ESPHome, YAML, and Home Assistant.
• Basic circuit design, wiring, soldering, and hardware assembly.
• Networking fundamentals (DNS, static IPs, tunneling, systemd services).
• Troubleshooting embedded hardware, sensors, and Wi‑Fi issues.

• PCB prototyping or electronics fabrication.
• Raspberry Pi setup and optimization.
• Enrolled or graduated from electrical engineering, software engineering, computer science, or a closely related program.