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).
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
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
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
In order to enter Leidos facilities in the U.S. and to attend Leidos events outside our facilities, employees are required to be vaccinated for COVID-19 or maintain proof of a negative COVID-19 test within 96 hours of entry. In addition, we are receiving guidance from certain customers that onsite contractor personnel will need to be fully vaccinated to access customer facilities. If you are not vaccinated, please consider getting your COVID-19 vaccination as soon as possible. If you have any questions, please contact your Talent Acquisition POC.
Leidos is a Fortune 500® technology, engineering, and science solutions and services leader working to solve the world’s toughest challenges in the defense, intelligence, civil, and health markets. The company’s 43,000 employees support vital missions for government and commercial customers. Headquartered in Reston, Virginia, Leidos reported annual revenues of approximately $13.7 billion for the fiscal year ended December 31, 2021. For more information, visit www.Leidos.com.
Pay and Benefits
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Commitment to Diversity
All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.