Job description

Job Overview We are seeking an experienced Senior or Staff Embedded Test Engineer with 10+ years of experience specializing in Internet of Things (IoT) ecosystems. In this role, you will validate the end-to-end connectivity, functionality, security, and reliability of our smart devices, bridging the gap between physical hardware, edge firmware, and cloud platforms. You will design automated edge-tocloud test setups, simulate necessary test environments, and ensure flawless wireless communication under real-world conditions. Key Responsibilities IoT Test Strategy & Network Simulation Edge-to-Cloud Validation: Design test strategies covering the entire IoT data path from physical sensors to cloud databases and user applications. 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. Automation & CI/CD Hardware-in-the-Loop (HIL): Build and maintain automated HIL test rigs for continuous testing of connected products. API Testing: Automate verification of cloud APIs. DevOps Integration: Embed automated hardware connectivity tests directly into GitLab CI/CD delivery pipelines. Wireless, Protocol, & Power Verification RF & Wireless Testing: Validate wireless performance across protocols like BLE, Wi-Fi, LoRaWAN, and Cellular. Protocol Analysis: Intercept and analyze network traffic using Wireshark to verify MQTT, CoAP, HTTP, and Protobuf payloads. Power Profiling: Measure microampere battery consumption during active transmission, sleep states, and deep sleep modes to verify battery-life targets. IoT Security & Resilience Security Auditing: Conduct vulnerability testing, including firmware reverse engineering resistance, secure boot verification, and certificate rotation. Encryption Validation: Ensure all data-at-rest and data-in-transit utilizes appropriate TLS, AES, or ECC encryption standards. OTA Update Validation: Rigorously test Over-the-Air (OTA) firmware update mechanisms against power interruptions, corrupted payloads, and rollbacks. Required Qualifications & Skills Experience 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. Technical Skills IoT Protocols: Advanced knowledge of messaging protocols (MQTT, CoAP, HTTPS) and wireless stacks (Wi-Fi, BLE, NB-IoT). 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). 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.

Requirements

Must-haves

Job Overview
IoT Test Strategy & Network Simulation
Edge-to-Cloud Validation: Design test strategies covering the entire IoT data path from physical sensors to cloud databases and user applications.
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.
Automation & CI/CD
Hardware-in-the-Loop (HIL): Build and maintain automated HIL test rigs for continuous testing of connected products.
API Testing: Automate verification of cloud APIs.
DevOps Integration: Embed automated hardware connectivity tests directly into GitLab CI/CD delivery pipelines.
Wireless, Protocol, & Power Verification
RF & Wireless Testing: Validate wireless performance across protocols like BLE, Wi-Fi, LoRaWAN, and Cellular.
Protocol Analysis: Intercept and analyze network traffic using Wireshark to verify MQTT, CoAP, HTTP, and Protobuf payloads.
Power Profiling: Measure microampere battery consumption during active transmission, sleep states, and deep sleep modes to verify battery-life targets.
IoT Security & Resilience
Security Auditing: Conduct vulnerability testing, including firmware reverse engineering resistance, secure boot verification, and certificate rotation.
Encryption Validation: Ensure all data-at-rest and data-in-transit utilizes appropriate TLS, AES, or ECC encryption standards.
OTA Update Validation: Rigorously test Over-the-Air (OTA) firmware update mechanisms against power interruptions, corrupted payloads, and rollbacks.
Required Qualifications & Skills Experience
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.
Advanced knowledge of messaging protocols (MQTT, CoAP, HTTPS) and wireless stacks (Wi-Fi, BLE, NB-IoT).
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).
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.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

ci/cdapirestpythonawsazure

Platform: greenhouse
Effort: quick