AI Wireless Systems Engineer

Title:  AI Wireless Systems Engineer

Company: Samsung Research America (SRA)

Lab:  Standards and 5G Mobility Innovation (SMI)

Location: Mountain View, CA or Plano, TX

Lab Summary:

The Standards & 5G Mobility Innovation team is committed to developing technologies that enable ubiquitous access to information and provide immersive multimedia experiences for mobility users.  Our research focuses on:

• Wireless standards and technology including 5G, LTE-A, IoT
• RF & fast prototyping of 5G wireless systems
• Multimedia standards and technology including VR, HDR, All-IP delivery.

 Position Summary: 

Join the SMI lab of Samsung Research America in Plano, Texas or Mountain View, California to contribute in the development of Samsung's vision of next generation of wireless communication technology. The candidate shall be responsible for developing, profiling and delivering algorithm, design specification and software for AI empowered wireless communication system. 

Responsibilities Include:

• Design next generation wireless communication products
• Apply AI and machine learning for designing optimized wireless systems targeting different use-cases, and demonstrate improved performance
• Create system specification based on the high level concept including applying AI and machine learning for wireless systems
• Integrate wireless system simulator with generic machine learning environments, and evaluate performance with AI-in-the-loop simulations or prototyping
• Generate clear, organized technical reports and assist the development of related IPR

• The preferred candidate will have a minimal 5 years of industry (or good match academic research) experience in an advanced technology development environment. 
• Excellent working knowledge using Python and Python based ML modules such as Scikit-learn, Keras, Tensor flow, Keras-RL, PyTorch and Pandas libraries.
• Have prior experience implementing machine learning algorithms for solving challenging problems preferably in wireless communication system design
• Hands-on experiencing integrating Python ML modules with wireless system simulators.
• Solid background in digital signal processing and wireless communication systems design and different components including digital filters, FFTs, synchronization, channel estimation, equalization, MIMO detection, error-correction codes, etc.
• Good understanding of RF system architecture, performance specification and measurement, RF/baseband interface.
• Familiar with 3GPP standards
• Excellent verbal communication and technical writing skills
• Education – MSCS/MSEE, PhD or equivalent combination of education, training, and experience