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System Hardware Engineer Intern, PhD Summer 2019

Location: San Jose, California
Job Category: Internship

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Summer 2019 PhD internship applications are open November 2018 through January 2019.  Samsung Semiconductor summer internships start in May/June 2019.

Join us for a unique 12-14 week paid internship that offers personal and professional development. You’ll work with the teams that create new computing system architectures needed to support emerging machine learning applications, internet of things (IoT) and edge computing that benefit millions of users.  This program will give you the opportunity work on complex solutions to that address some of the world’s most complex technological challenges.

 Note: By applying to this position your application is automatically submitted to the following San Jose and San Diego locations.

  

About Samsung Semiconductor (SSI):

Based in San Jose, California, Samsung Semiconductor, Inc. (SSI) is a multi-billion dollar subsidiary of Samsung Electronics, Ltd. and a world leader in Memory, System LSI and LCD technologies.  

SSI provides the widest range of memory, logic, storage devices, LED components and LCD/OLED panels to enhance the user experience in home entertainment, mobile devices, lighting and computing. SSI has advanced R&D labs focused on product design and research in memory, displays, logic, image sensors, and mobile technologies. 

 

Depending on your background and experience, you will be working in one of the following labs:

Memory Solutions Lab develops innovative open system architectures and marketable solutions that transform the performance of memory in SSDs, mobile devices and datacenters.  The lab consists of three teams:

  • A research team that is innovating in new data center system architectures, the latest storage architectures, and the most advanced memory technology
  • A development team that is helping shape the landscape of enterprise storage and the cloud, delivering many "world’s first" flash memory products to major manufacturers, such as the first SSD with NVMe interface. In addition, the team has delivered client software that significantly speeds up and enhances the effectiveness of Samsung SSDs
  • An ecosystem team that works closely with customers and partners to build complete market solutions

Systems Architecture Lab (SAL) -- (part of Samsung’s Memory Business Unit) which is the industry leader in developing DRAM, NAND Flash and SRAM Memory. SAL is tackling a variety of challenges in data center, server and software infrastructure.

Display America Lab develops technologies, algorithms, standards and interfaces for the next generation LED and OLED displays.

Austin R & D Center and San Jose Advanced Computing Lab develop high-performance, low-power, complex CPU and System IP (Coherent Interconnect and memory controller) architectures and designs for Samsung’s System LSI division.

Semiconductor R & D Labs (New Memory Technology Lab, Advanced Logic Lab, Device Lab)undertake advanced research into materials and device technologies for future cutting edge semiconductor wafer processes.

  • New Memory Technology Lab develops the next generation of memory technology. Teams of leading scientists and engineers are developing advanced materials and devices that will enable future STT-MRAM* memory technology to achieve widespread commercial adoption. 
  • Advanced Logic Lab focuses in many research areas including computational device physics, materials science, interface chemistry, technology integration, and device/circuit interaction. Researchers in all of these disciplines work with internal technology, and in collaboration with consortia and universities.
  • Device Lab develops simulation solutions for advanced semiconductor manufacturing technology requirements. The lab focuses on the development of Technology Computer Aided Design (TCAD) models and simulation software for deploying advanced manufacturing processes for semiconductor devices and materials. The lab supports logic, memory and LED technology development, as well as the development of compact models for advanced logic and memory technology.

Advanced Systems Lab: develops a variety of world’s first 3D, color, RGBZ sensors; developed ISP and ML algorithms that expend the application scope and improve the performance of above mentioned sensors; and developed high performance, low power and area efficient NPU architecture for next generation product.

SOC Lab: develops cellular modem chipsets and global navigation receivers for a future generation of mobile devices.   The lab has expanded its research and development roles into two main fields, wireless communications and multimedia processing. R&D efforts in wireless communications include 5G cellular New Radio (NR) access technologies, RFIC, ASIC, and connectivity (Wi-Fi/Bluetooth/Locations/IoT). R&D efforts for multimedia processing include design and implementation of algorithms for computational photography, computer vision, speech processing, and deep/machine learning. 


Job Responsibilities:

  • Research applications for near storage acceleration architectures
  • Work with FPGA platforms & system software to enable new near storage acceleration applications
  • Research architectural trade-offs of server architectures, especially as related to the memory hierarchy and storage systems
  • Model and simulate the server system to provide concrete data supporting proposed technologies
  • Create new and useful IP, publish at conferences, and generate whitepapers.

Minimum Qualifications:

  • MS or PhD candidacy in computer science or equivalent
  • Experience in system architecture and performance analysis
  • Good understanding of computer architecture: server systems, data centers, processors, memory hierarchy, memory subsystems, storage, I/O, networking
  • Hardware development experience or relevant courses
  • Project or relevant experience in storage and flash technologies
  • Direct experience working with FPGA platforms and tools
  • Experience building and deploying Linux kernel components
  • Research and development experience with modeling and performance analysis
  • Previous experience in FPGA bring-up and hardware design
  • Strong background in C/C++ programming

Preferred Qualifications:

  • Track record of innovation and creativity in problem solving
  • Good problem solving skills
  • Passion and deep interest in systems research and systems programming
  • Excellent collaborative skills, including verbal and written communication
  • Must be highly motivated with open mind and willingness to learn from peers
  • Ability to work effectively with cross-functional teams and understand how to leverage cultural diversity
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