The Role
We are looking for an exceptional engineer to be the last checkpoint before our IoT products reach
the real world. This role sits at the intersection of embedded hardware and software reliability. We
are not hiring a tester who follows checklists. We are hiring an engineer who can break systems on
purpose, find the root cause, and prove with data whether a product is truly ready for release.
Our Culture & Standards
We value autonomy, precision, and the courage to advocate for quality. Here is what we expect from
our QA team:
Take Ownership:
You are in charge of quality. We do not micro-manage. If the instructions are not clear, we trust you
to ask questions and define how the system should work. When you find a bug, you don't just report
it; you help us understand why it happened.
Test for Real Life:
We trust your judgment. If you say "It is ready," we believe you. Do not just test if the device works
when everything is perfect. You must test what happens when things go wrong: like weak WiFi, low
battery, or power outages.
Check the Whole System:
You are not just testing an app. You will check how the Hardware, Firmware, and Cloud work
together. You need to test in real situations (like a house with interference), not just inside a quiet
lab.
Speak Up:
We need detailed feedback, not just "it failed." Tell us exactly when the error happens (for example:
"it fails when the battery is under 20%"). If the product is not ready, you have the right to say, "We
cannot release this."

Requirements
• Firmware and Software Testing: Able to validate firmware behavior including boot
sequences, state machines, interrupt handling, watchdog timers, and OTA update processes
(rollback, failure recovery).
• Protocol and API Testing: Experience testing REST APIs, MQTT, and WebSocket
connections for data integrity, latency, authentication, and error handling using tools like
Postman, JMeter, MQTT Explorer, and Wireshark.
• Scripting and Automation: Able to write automated test scripts in Python or C++ for
regression testing, data validation, and log parsing, integrated into CI/CD pipelines.
• Debugging: Able to read and interpret firmware debug logs, serial outputs, and crash
dumps. Trace issues across the full stack using serial monitors, GDB, and JTAG/SWD
debuggers.
• Hardware Validation: Experience verifying component-level operation (sensors,
regulators, LEDs, relays) against datasheet specifications for voltage, current, and
temperature tolerances.
• Signal and Power Analysis: Able to measure and validate signal waveforms (PWM,
I2C/SPI/UART, ADC accuracy), check for noise and crosstalk using oscilloscopes and logic
analyzers, and test power consumption across operating modes using power profilers.
• Education: Bachelor's degree in Electronics, Electrical, Computer Engineering, or a related
field.
Responsibilities
• Simulate failure conditions: network drops, corrupted packets, buffer overflows, memory
leaks, and low-resource states. Validate graceful degradation and recovery.
• Monitor thermal behavior under sustained load. Identify hotspots and throttling using
thermal cameras and data loggers.
• Run environmental and stress tests: temperature cycling, humidity, vibration, and
accelerated life testing for long-term reliability.
• Validate hardware-firmware integration (GPIO, ADC, DAC, PWM, communication buses)
with attention to timing-critical interactions and interrupt response times.
• Verify the complete data pipeline: Sensor to MCU to Wireless (WiFi/BLE/4G/Thread/LoRa)
to Cloud to App. Test for data accuracy, latency, and loss across the chain.
• Run continuous operation tests (72+ hours) and rapid state-change simulations to catch
memory leaks, drift, and intermittent failures. Load test cloud infrastructure with simulated
device fleets.
• Test in real-world deployment conditions: WiFi congestion, unstable power grids, power
outages, multi-device interference, and physical obstructions.
• Write clear, reproducible bug reports with full environment context. Maintain test case
libraries, traceability matrices, and produce test summary reports with coverage and risk
analysis.
Preferred Skills
• Strong mathematical foundation: Numerical Methods, Matrix Algebra, Statistics
(Hypothesis Testing, Z-Tests, K-S Tests).
• Ability to apply math practically to validate sensor accuracy, algorithm performance, and
diagnose root causes.
• Ability to apply math practically to validate sensor accuracy, algorithm performance, and
diagnose root causes.