hirly

BrightAI

Senior/Staff Embedded Test Engineer

Palo Alto, CA

See how you match this job — and similar ones. Free.

Upload your resume and hirly scores it against this role at BrightAI first, then against similar open jobs, and shows where you fit and why.

PDF or DOCX, up to 12MB. No sign-up to see your matches.

Get past the screening software and onto a recruiter's desk

hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.

  • Keywords matched to this posting
  • Fit score before you apply
  • Cover letter included
Tailor my resume for this job →

Apply from your AI assistant

Connect hirly to Claude and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending. ChatGPT: manual setup today.

Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.

hirly's read of this role

Role family
Engineering
Seniority
Lead / management
Country
US
Work mode
On-site / unstated
First seen by hirly
9 Oct 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

Original posting on BrightAI's site ↗

Listed on hirly, a job board. hirly is not the employer: BrightAI is hiring for this role.

Browse similar roles

Want this one?

Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.

Tailor my resume for this job