IoT Field Test & Deployment Engineer

Qareeb

On

Sur place

EUR 42 000 - 65 000

Plein temps

Il y a 22 heures
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Résumé du poste

Qareeb is seeking a Field Test & Deployment Engineer to support testing, validation and deployment of IoT agriculture systems and edge AI surveillance solutions. The role involves hands-on work with hardware and software, system integration testing, field troubleshooting, and customer installation support.

The candidate should blend technical troubleshooting, networking, and field readiness, providing feedback to engineering teams to improve deployment processes and product quality.

Qualifications

  • 1+ years in hardware/software testing, deployments, or system integration.
  • Familiarity with LAN, WAN, VPNs, NAT, firewalls, and IP camera systems.
  • Ability to debug embedded IoT devices and Linux-based edge devices.
  • Knowledge of manual and automated testing frameworks.

Responsabilités

  • Execute test plans for embedded IoT devices, Linux-based edge devices, and integrated systems.
  • Perform hardware/software troubleshooting across sensors, controllers, cameras, and networking equipment.
  • Configure and troubleshoot LAN, WAN, VPNs, NAT, and firewall setups, including IP cameras and NVRs.
  • Conduct manual and automated testing using appropriate frameworks and tools.
  • Document test results, deployment issues, and customer feedback for continuous improvement.
  • Assist in customer site deployments, including installation, configuration, and validation of systems.
  • Work closely with R&D teams to replicate and elevate issues found in the field.
  • Support acceptance testing and demos with customers.
  • Ensure compliance with quality standards and deployment best practices.

Connaissances

Embedded systems testing
Networking knowledge
Field deployment readiness
Troubleshooting skills

Outils

Linux
IP cameras
NVRs
Python

Description du poste

Qareeb is seeking a Field Test & Deployment Engineer to support testing, validation and deployment of IoT agriculture systems and edge AI surveillance solutions. The role involves hands-on work with hardware and software, system integration testing, field troubleshooting, and customer installation support.

The candidate should blend technical troubleshooting, networking, and field readiness, providing feedback to engineering teams to improve deployment processes and product quality.

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