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BrightAI Corporation

Senior/Staff Embedded Test Engineer

  • Seen live on BrightAI Corporation's site 2 days ago
  • Senior
Pay
Not stated
Location
Palo Alto, CA
Open for
12+ days
First seen
Oct 23, 2026
Apply on BrightAI Corporation's site (opens in a new tab)

Posting record

No flags

Open 12+ days

The posting's record, oldest first
  1. BrightAI Corporation's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking BrightAI Corporation, so its true age is longer.

Last checked Nov 3, 2026.

How well do you match?

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What it asks of you

10+ years of experience
“We are seeking an experienced Senior or Staff Embedded Test Engineer with 10+ years of experience specializing in Internet of Things (IoT) ecosystems.” (quoted from the posting)

What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

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.

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