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Mid-level generalist QA title plus metro hiring increases competition despite niche embedded hardware focus.
Embedded hardware-focused QA and AI/ML inference experience make skills less transferable across industries.
Explicit 5-10 years plus mandatory embedded, Python, Jenkins, infra, and hardware handling requirements.
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Develop and execute test cases and automation to qualify software releases and AI/ML IP products.
Troubleshoot and root cause software, hardware, and infrastructure issues including maintaining server infrastructure and QA tools.
Collaborate with multi-disciplinary teams and create test reports and product documentation.
5-10 years experience in testing, test automation, and test frameworks.
2+ years proficiency in Python scripting and packages.
Experience with embedded software/hardware product test cycles and Linux server infrastructure, Dockers/Kubernetes, hardware reference boards and ESD practices.
Experience with GIT, Jenkins pipeline development (Groovy), and software release cycles.
Experienced in complex embedded software and hardware testing environments involving AI/ML IP products.
Comfortable working with Linux infrastructure and automation tools in a multidisciplinary, fast-paced startup setting.
Has exposure to AI/ML frameworks and an ability to translate technical requirements into robust automated test solutions.