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Job Description

Job Description:

The AMO Division of the Airborne Solutions Organization has an immediate opening. The contractor will be provided skills with big picture thinking to make an impact in High Performance Computing and AI solutions within the Intelligence Community? Our clients are building high performance (HPC) and accelerated compute environments from the ground up, performing modeling and simulation on GPUs designed for a variety of workloads. The position is full-time at NCE and requires a TS/SCI (with poly).

Primary Responsibilities

  • BS degree and eight (8) years of prior relevant experience
  • Creation and maintenance of a DevOps process for these efforts, from the basic data collection and preprocessing, to assisting with the frameworks to build and train models in AI and Machine Learning within a Research and Development environment
  • Translate mission needs into technical solutions, makes you an integral part of delivering a customer-focused engineering solution
  • Shape the geospatial intelligence mission by being a part of, or leading, a multi-functional accelerated-compute engineering team

Basic Qualifications

  • A strong experience with working on Linux systems
  • Experience with building and deploying containerized, GPU-enabled applications in Docker, Singularity, or Kubernetes
  • Experience with orchestration and cluster management tools, including Slurm, Mesos, or Moab
    Experience with AI and Machine Learning Development Tool Sets, including Jupyter, Keras, TensorFlow, MPI, OpenMP, OpenCL, or CUDA
  • Lustre and Infiniband maintenance and troubleshooting. Infiniband/fibre/network plumbing, configuration, and maintenance
  • Experience with deploying systems in both on-premise and Cloud environments, including AWS, Azure, or Google
  • Server hardware maintenance and troubleshooting
  • Created and maintained system documentation
  • RHEL and CentOS administration and ACE cluster administration for HPC clusters
  • Experience with supporting environments for massively parallel computation
  • Experience with certification and accreditation of containers
  • Experience with programming and implementing scientific and physics M&S algorithms, Big Data, and Data Science
  • Experience with optimizing applications to use AI and ML toolsets

Preferred Qualifications

  • Experience experimenting with natural language processing (NLP) techniques
  • Knowledge of analytics maturity model, data strategy, and data governance
  • Ability to independently build and evaluate data models and analyze results

Company Info.


Leidos, formerly known as Science Applications International Corporation, is an American defense, aviation, information technology, and biomedical research company headquartered in Reston, Virginia, that provides scientific, engineering, systems integration, and technical services.

  • Industry
    Information Technology
  • No. of Employees
  • Location
    La Jolla, San Diego, California, USA
  • Website
  • Jobs Posted

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