Software QA Engineer

HME Careers•Carlsbad, CA

About The Position

HME has been creating innovative products for the drive-thru and pro-audio industries since 1971. We are currently recruiting for a Software QA Engineer - IoT Devices. We are seeking a Software QA Engineer to join our IoT device team. This role focuses on ensuring high-quality product delivery through comprehensive testing, automation, and collaboration. At our core, we believe quality is never an accident — it is the result of intentional and intelligent effort.

Requirements

BA/BS in Computer Science, Computer Engineering, or related field
0-3 years of experience in Quality engineering
0-3 years of experience in Test automation
0-3 years of experience in Software and/or hardware testing
Approach problems with critical and analytical thinking
Ability to leverage AI tools to improve productivity
Bias for automation first + shift-left testing
Strong system-level thinking
Demonstrate rigor, persistence, and ownership in completing assignments
Effectively communicate your ideas both verbally and in writing
Actively participate in team discussions and meetings
Testing IoT devices
Services and protocol testing (HTTP, JSON, REST APIs)
Applications running on Linux platforms
Automation scripting (e.g., Python)
Test frameworks such as Playwright and Postman
Agile software development environment experience
Familiarity with tools such as: Jira, Xray, Confluence
Strong analytical and problem-solving skills
Excellent planning and organizational abilities
Clear and effective written and verbal communication

Nice To Haves

Experience with AI-assisted development or QA tools (e.g., GitHub Copilot, LLM-based workflows)
Experience testing AI/ML systems or data-driven applications
Knowledge of IoT protocols (MQTT)
Familiarity with edge computing platforms (e.g., NVIDIA Jetson, ARM-based systems)
Experience with containerized test environments and CI/CD pipelines
Exposure to observability platforms and production monitoring

Responsibilities

Design, develop, maintain, and execute test cases and test plans at both functional and system levels
Perform black-box and gray-box testing on released products and products under development
Identify design and implementation defects
Functional, integration, and regression testing at both feature and system levels
End-to-end testing of IoT devices and systems
Distributed system validation (device-edge-cloud)
Real-world deployment validation (field testing)
Testing across: Device → Edge → Cloud pipeline
Testing protocols: MQTT, WebSockets
Testing offline/low-connectivity scenarios
Firmware + OTA update validation
Hardware-software interaction testing
Identify automation opportunities and develop/maintain automated test suites
Experience with modern frameworks: Playwright / Postman / Cucumber / Behave
CI/CD integration: GitHub Actions / Azure DevOps pipelines
Containerized test execution: Docker-based test environments
API + contract testing: Pact, schema validation
Develop automated tests using scripting languages (e.g., Python)
Leverage AI/ML tools to generate test cases from requirements/specifications
Leverage AI/ML tools to identify test gaps and improve coverage
Leverage AI/ML tools to perform intelligent defect clustering and prioritization
Use GenAI tools (e.g., Copilot, LLMs) to auto-generate test scripts (Playwright/Python)
Use GenAI tools (e.g., Copilot, LLMs) to assist in debugging and root cause analysis
Apply prompt engineering best practices for test generation and validation workflows
Track and manage defects using bug tracking systems
Analyze test results and perform troubleshooting, issue triage, and root cause analysis
Collaborate cross-functionally to drive resolution
Contribute to and improve quality engineering processes and initiatives
Work closely with Developers, Product Managers, and QA Engineers
Advocate for testing best practices and influence system architecture