BrightAI

BrightAI

Staff Embedded Test Engineer

Palo Alto, CA · Staff+

Sponsorship not specifiedDetected 5 days ago
PythonGitAWSGCPAzureCloud PlatformsCI/CDLinuxDevOpsRESTAuditingEmbedded SystemsLoad TestingAPI TestingWiresharkCommunication

About the role

  • Network Simulation: Set up test benches to simulate varying network conditions, packet loss, high latency, and intermittent connectivity.
  • Scale & Stress Testing: Conduct fleet-scale simulation to evaluate how cloud infrastructure handles concurrent data bursts from thousands of edge nodes.
  • API Testing: Automate verification of cloud APIs.

Responsibilities

  • Edge-to-Cloud Validation: Design test strategies covering the entire IoT data path from physical sensors to cloud databases and user applications.
  • Hardware-in-the-Loop (HIL): Build and maintain automated HIL test rigs for continuous testing of connected products.
  • RF & Wireless Testing: Validate wireless performance across protocols like BLE, Wi-Fi, LoRaWAN, and Cellular.
  • Build and maintain automated HIL test rigs for continuous testing of connected products.

Requirements

  • 10+ years of experience in embedded systems QA, with at least 5 years focused specifically on connected IoT products.
  • Proven track record of testing and deploying commercially successful smart home, industrial IoT (IIoT), or wearable devices.
  • Practical testing experience with major IoT cloud suites (e.g., AWS IoT Core, Azure IoT Hub, or Google Cloud IoT).

Skills

  • IoT Protocols:
  • Advanced knowledge of messaging protocols (MQTT, CoAP, HTTPS) and wireless stacks (Wi-Fi, BLE, NB-IoT).
  • Network & Hardware Tools: Mastery of Wireshark, logic analyzers, digital multimeters, and specialized RF network analyzers/attenuators.
  • Embedded OS: Deep familiarity with IoT-focused operating systems like Zephyr RTOS, FreeRTOS, Embedded Linux, or Mbed OS.
  • Languages: Python and solid understanding of C/C++.
  • Cloud Infrastructure: Practical testing experience with major IoT cloud suites (e.g., AWS IoT Core, Azure IoT Hub, or Google Cloud IoT).
  • Conduct fleet-scale simulation to evaluate how cloud infrastructure handles concurrent data bursts from thousands of edge nodes.
  • Automation & CI/CD
  • Automate verification of cloud APIs.
  • Embed automated hardware connectivity tests directly into GitLab CI/CD delivery pipelines.
  • Wireless, Protocol, & Power Verification
  • Mastery of Wireshark, logic analyzers, digital multimeters, and specialized RF network analyzers/attenuators.
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This listing is sourced directly from BrightAI's careers page and normalized into a canonical job model.