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Executive Order 11246, Section 503 & VEVRAA EOE, including disability/vets
Configuration Management Docker Experince Deployment Monitoring Engineer
(Jobs
 
Requirement id 71538
Job title Engineer
Job location in San Jose, CA
Skills required Storage Technologies, Machine Learning And Statistics, Product Management, Configuration Management Docker Experinc
Open Date 17-Jul-2018
Close Date
Job type Contract to Hire
Duration 6 Months
Compensation DOE
Status requirement ---
Job interview type Face to Face interview
Apply
   Email Recruiter: coolsoft
Job Description Engineer: Storage Technologies, Machine Learning And Statistics, Product Management, Configuration Management Docker Experinc

Job Description :

Essential Core Competencies:

· Hands on dev ops knowledge

· Deploy GPU machines

· Configuration management

· Already do Docker, need XPC framework

· Code

· Deployment

· Scripting

· Monitoring

Essential Roles & Responsibilities:

Needs

Will be responsible for providing solution architecture consulting focused on building large distributed systems deployments for our Petabyte scale computing infrastructure.
Hands in experience in HPC - GPGPU, Nvidia, Cuda as well as distributed computing platforms.
Hands on experience in scoping latest hardware and integrating HPC systems.
Creating data pipelines and overall workflow orchestration to cover data needs for HPC platform.
Iterate quickly through latest packages and R&D on latest information.
Work with Product Management and multiple Business units for requirement gathering and proposal an architecture and implementing the key components
Support upstream and downstream use cases with integration with existing Big data ecosystem.

Desired Skills and Experience:

Undergraduate/Ms degree/PhD in Computer Science
8-10 years experience in Java/C++/Object Oriented programming and/or python
Experience with distributed computing/storage technologies like Hadoop (Map/Reduce, HDFS, HBase), JPPF, etc.
Experience building and deploying enterprise scale applications, familiarity with GPU computing (CUDA, OpenCL, OpenACC).
Deep understanding of Machine learning (with focus on Deep Neural Networks), including a solid understanding of DL fundamentals;
Experience adapting and training DNNs for various tasks; Experience developing code for one or more of the DNN training frameworks (such as Caffe, TensorFlow or Torch)
Numerical analysis
Performance analysis and optimization
Computer architecture
Understand requirements and goals for distributed computing.
Design the appropriate computing and storage architecture to meet the customer goals
Hands-on engagement in the build out and delivery of the architecture
 
Call 502-379-4456 Ext 100 for more details. Please provide Requirement id: 71538 while calling.
 
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