Position: Computer Scientist
Location: Springfield, VA
• *FULL TIME POSITION, 100% on-site (may be telework opportunity as needed), TS/SCI*** Are...
you looking for an opportunity to combine your technical 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. You will help in the 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. Your ability to translate mission needs into technical solutions,
makes you an integral part of delivering a customer-focused engineering solution. As a systems
and DevOps engineer on our team, you have the chance to shape the geospatial intelligence
mission by being a part of, or leading, a multi-functional accelerated-compute engineering
team. Your customer will trust you to not only architect and engineer these environments, but
also evolve them with advanced technology solutions. On our team, you’ll be able to broaden
your skillset into areas like DevOps, accelerated-compute, GPU-processing, and cluster
management. Grow your skills by merging systems engineering, on-premise environments,
Cloud and virtual architecture, and AI and ML frameworks to create a high-performance
environment. Join our team and create the future of accelerated compute in the GEOINT
mission. Empower change with us. The selected candidate will have:
-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 To apply: Please email your most up to date resume to James Scott Group LLC Tel: 646 - 481 – 5257 Email: www.Jamesscottgroup.com
United States

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