In this role you will lead a project with small team of QA and automation engineers analyzing performances of complex Machine learning models and 3D computer vision systems on real world applications building end-to-end pipeline and metrics for fast model evaluation and understanding data / model biases. You will also work hand-in-hand with engineering teams from design phase all the way to software release in production hardware create test plans and drive quality lead technically deep strategic and efficient test plan reviews as well as technical innovation within the team on test infrastructure and tools. Influence SW/FW design decisions through a strong test data driven approach that creates collaborative accountability for the dev this role you are expected be able to dive deep technically look round corners anticipate potential design gaps and build effective and efficient quality assurance test campaigns.
BS and a minimum of 10 years relevant industry experience
2 years of experience in QA management or technical leadership roles
Experience developing and implementing test automation pipelines
Masters degree or Bachelors degree with in Computer Science or equivalent experience with a focus on machine learning and computer vision.
4 years of experience in software quality assurance with consumer products through full product lifecycle
4 years experience working on consumer industry in development of software test handling full product life cycle
Experience in driving and developing automation pipeline
Strong verbal and written communication skills; experience working with cross-functional organizations and external partners
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