Samsung Bixby Labs is working towards a vision of a voice assistant that provides a unified AI experience across multiple devices. Our industry-leading hardware platforms like the Galaxy phones, and home appliances like the smart refrigerators and TVs, smart washers and dryers, etc allow for deep-integration of the AI services like Bixby voice assistant and hardware devices. Real-time AI services on these connected IoT devices enable users to interact with devices more naturally via spoken dialog, visual interaction, continuous learning, and big data analysis. Researchers and engineers at Samsung Research America (SRA), located in Mountain View, CA, are working hard towards making the Samsung vision a reality. Samsung Bixby Labs is seeking a visionary leader to join us as an Engineering Director leading the AI software and service quality assurance team. As the Director, you will:
· Lead, manage and grow a team of highly talented device, software, and continuous service quality assurance engineers.
· Collaborate with your counterparts in HQ (Korea) and other regions to manage release quality deployments and processes across systems and teams.
· Provide technical leadership in architecting and streamlining AI service quality testing and release processes.
· Lead technical design discussions to build efficient end-to-end device testing scenarios and methodologies.
· Collaborate with AI/Client/NLU counterparts and integrate relevant metrics into the quality assurance processes.
· Collaborate with the DevOps and Engineering to define platform requirements and address real-time quality issues.
· Inspire and mentor engineers and foster a culture of collaboration and employee growth.
· Ensure that the right culture, processes, and technology investments are in place for future product launches.
· Bachelor's degree in Computer Science / MS or equivalent combination of education, training, and experience
· 10+ years of relevant experience in advanced technology management as a software leader building teams and leading organizations through product delivery and commercialization on time and on budget
· Experience leading, mentoring, and inspiring a large consumer technology software organization
· Technical experience and understanding of end-to-end hardware device and software service quality assurance
· Experience in AI/machine learning systems and services
· Experience initiating and driving projects to completion with minimal guidance, communicating insights and ideas across organizations
· Hands-on leader with experience going into the details for software architecture and design
· Leadership and familiarity of products with cross-functional technical components
· Understanding of product development processes and proven experience moving from strategy to execution, delivering results