ESI GPU/ML/DL Performance Test Engineer

Title: ESI GPU/ML/DL Performance Test Engineer
Location:  Austin, TX 78753
Duration: 9 months

Primary Focus:
Devices: Graphics Processing Unit (GPGPU/GPU), Intelligence Processing Unit (IPU)
Architectures:  Deep Learning (DL), Machine Learning (ML)
Frameworks:  Tensorflow, Caffe, MXNet, PyTorch, Caffe2, Uber Horovod
Models: ResNet50, Inception V3, GoogleNet
Platform/API:  NVIDIA CUDA, NVIDIA NCCL Library
  • Key mandatory skills/experience in Deep Learning, Machine Learning, GPUs and IPUs required.
 
Skills, Experience, and Tools:
  • Strong experience analyzing requirements, functional specifications, design specifications and other technical documentation and using that to develop test strategies and plans.
  • Experience with installing, debugging, and executing open source software frameworks in a Linux environment (focus of GPUs and machine learning, deep learning ideal). 
  • Ability to develop Linux / BASH shell scripts, Perl and Python packages to support testing and deployment activities in different environments (focus of GPUs and machine learning, deep learning ideal). 
  • Understanding of Server/Storage products, including devices and technologies such as Server BIOS and BMC, Dell iDRAC, PCIe Switches, NVMe and SAS/SATA drives, GPGPUs, PDUs, Serial Switches, etc., and deployment / management tools and capabilities. DMTF’s Redfish knowledge a plus. (focus of GPUs and machine learning, deep learning ideal). 
  • Have good understanding of Linux and Windows environments and applicability of solutions based on Linux and Windows environment on top of enterprise class dense and traditional server platforms.
  • Work with the development teams to triage and root cause firmware issues 
  • Strong experience in testing embedded server control and management systems.
  • Experience with FPGA and/or CPLD architecture, coding and related system architectural design and implementation a plus. 
  • Working understanding of PCIe topologies and system impacts of PCIe device interaction.
  • Working knowledge of the following standards:  SAS/SATA, PCIe, DDR3/4, I2C, NCSI, Ethernet
  • Strong ability to identify potential product weakness and be able to provide design guidance and recommendations for improvements to subsequent redesigns
  • Working independently under aggressive timelines.
In general between 8-10 years of overall engineering experience.  

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