Senior Introduction As consumers continue to use technology to experience the ne Learning and Semiconductors, XPERI’s that enable consumer devices to understand plays a key strategic role in shaping the future of XPERI.
Job Description expected to assume a techn neural networks based m that delivers datacenter-quality performance at ultra-
low power. -based embedded software applications detail-oriented approach to their work and candidate will be self-motivated and focused, comfortable collaborating with geographically dispersed tea a team player, and eager to make a difference as a The successful candidate Engineering, Machine Learning Responsibilities : Design, architect and develop efficient embedded SW applications running on XPERI’s hardware platform that pushes the limits of neural networks performance at ultra-
low power performance validation Establish performance evaluation methodology Work closely with Machine Learning and Hardware Design teams to identify optimal SW architecture and implementation solutions ta management, visualization, implementation and jointly with Required Skills : 5+ Proficiency with Hand-
on experience with real-time and multi-tasking programming, experience with embedded tools and SDKs Knowledge of system architecture and key components : memory architectures, computing and I / O cores, buses and intercommunication etc.
Strong analytical and troubleshooting skills, excellent written and spoken communication skills, and a strong drive to solve problems and disrupt the status quo Familiarity with version control systems, preferably Git and development methodologies such as Agile / Kanban Additional Skills (would be added advantage) : Understanding of latest machine learning developments, familiarity with state-
of the art neural network architectures, training and optimization methods , processing, analytics and display Exposure to deep learning development tools such as Knowledge of embedded Operating Systems XPERI Brasov Coresi 5 Tur