Sr. Storage Performance Engineer

Engineering - Software San Jose, California


Position at Samsung Semiconductor, Inc.


Sr. Storage Performance Engineer

Requisition ID




Samsung Semiconductor, Inc. is a world leader in Memory, System LSI and LCD technologies. We are currently looking for software talent to join our team in San Jose, CA.

The Memory Solutions Labs (MSL) is part of Samsung’s Memory Business Unit, the industry's technology and volume leader in DRAM, NAND Flash, SRAM memory.  MSL’s vision is to solve key problems & optimize architecture solutions for Cloud Computing, Big Data and High Performance data center environments. We are an integral part of Samsung’s strong R&D focus & lab innovation engine. We work closely with development teams to bring feature innovation to product roadmaps.

Specifically, we have openings for Cloud Computing, Big Data and High Performance Storage system experts who have expertise in internals of Hadoop, Spark ecosystem, No-SQL solutions and can architect new technology solutions. He or she will join a team of experts in researching and developing innovative solutions that utilize existing and emerging technologies to add substantial value to Samsung.

The team covers a broad spectrum of topics and is building an ecosystem surrounding SSD and Non-volatile memory. You will be working with the-state-of-art technologies in the context of vertical integration and optimization across H/W and S/W. You will participate in a project for improving current Hadoop or Spark software stacks and No-SQL database where you will have chance to understand how these systems can be enhanced by exploiting NVMe over Fabrics and Flash/SSD technologies.  Our performance research will enable you to develop broad and cutting-edge expertise in cloud computing and big data infrastructure.


  • The major role of this position is to conduct key research and development activities for next generation cloud computing/big data attached storage systems/solutions to leverage our new flash and non-volatile technology.
  • The engineer is required to analyze the capabilities and performance of Hadoop, Spark and database (No-SQL and SQL) software stacks in such context, identify issues, and propose and prototype new solutions across hardware and software
  • Create key IPs, implement prototypes, write or publish papers, and do standardization.
    Collaborate with universities and international teams
  • Design & implement new features for innovative storage products targeted to Enterprise, Hyperscale & Cloud environments.
  • Design, implement and validate state-of-the art solutions that meet or exceed current and future products.


  • A PhD/Master’s in Computer Science, Computer Engineering, Machine Learning or Statistics, Mathematics or related field.
  • 5-10 years of experience in Big Data/Storage or related field, debug, tuning and performance analysis.
  • Deep knowledge of Hadoop ecosystem (e.g., HDFS, MapReduce, Hive, Tez/Llap, Spark) and ability to modify the cores
  • Deep knowledge of software architecture and its internals in at least one of areas and ability to modify the cores:  No-SQL database, Storage I/O subsystem, File system, NVMe/NVMeoF Drivers, etc.
  • Strong knowledge and experience in analyzing large data sets
  • Knowledge in Machine Learning, Pattern Recognition, and Statistical Modeling
  • Good understanding of x86, File Systems, SSDs and general storage stacks
  • Good working knowledge of the Linux, Unix, VMware
  • Proven track record of delivering high quality software and solutions
  • Prior knowledge/experience in Xen/KVM/ESX/Hyper-V hypervisor and virtualization software architecture, development and debug is a plus       
  • Strong software engineering skills with efficient, maintainable and testable programming in one or more of C/ C++/Python/Java/Scala is required.       
  • Working knowledge of data center tiers and the server system trade-offs involved is beneficial.



  • Must be highly motivated with excellent presentation, verbal and written     communication skills.
  • Good knowledge of computer architecture, network and data center architecture
  • Ability to quickly develop proof of concept prototypes based on requirements
  • Good understanding of SMP/Multi-Threaded programming
  • Demonstrated attention to deliver SW project deliverables on schedule.
  • Ability to meet aggressive project deadlines in a team environment
  • Ability to work successfully with cross-functional teams, including coordinating across organizational boundaries and geographies.

Samsung Semiconductor Inc (SSI), an equal opportunity employer, is a world leader in Memory, System LSI, and LCD technologies. Headquartered in San Jose, California, SSI is a wholly-owned U.S. subsidiary of Samsung Electronics Co., Ltd.- the second largest semiconductor manufacturer in the world and the industry's volume and technology leader in DRAM, NAND Flash, SSDs, mobile DRAM and graphics memory. It is one of the largest providers of system logic, imaging and LED lighting solutions, as well as providing advanced process design and manufacturing for fabless companies. Samsung Semiconductor, Inc. also has a research and innovation center with numerous labs providing product design and research in: logic, memory, image sensors, displays and mobile technologies. In addition, the company supports Samsung Display Company, the largest producer of LCD and OLED displays.

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