Modern Technology Solutions, Inc. (MTSI) is seeking an Research and Development Engineer/Scientist to join our team. You will participate in research and development as an Engineer/Scientist, pursuant to the goals of the National Geospatial-Intelligence Agency.
At MTSI, our more than 1000 co-owners recognize the high demand for specialized professionals within our industry and that you have many options to choose. As an employee owned company were culture matters, we believe that by investing in our people we are investing in our company s future!
MTSI s core capabilities are Systems Engineering and Integration, Modeling and Simulation, Test and Evaluation, Acquisition and Program Support, and Mission Assurance services. Our expertise includes ballistic missile defense, air defense, air vehicle survivability, unmanned aircraft, flight test operations, intelligence support, and cyber/space/homeland defense.
Recognized as an " employee comes first " company with over 25 years of consecutive growth we challenge our co-owners to provide the highest level of support and service, and reward them with some of the best benefits in the industry. Day one all new co-workers start with 20 days PTO, 6% 401k match with immediate vesting, semi-annual bonuses, and eligibility to participate in our Employee Stock Ownership Plan (ESOP). We offer other employee focused benefits, including up to $10k in tuition reimbursement and an optional zero dollar deductible BCBS health insurance plan.
For additional company information, please visit: www.mtsi-va.com
MTSI is seeking an Research and Development Engineer/Scientist to join our team to participate in research and development as an Engineer/Scientist, pursuant to the goals of the National Geospatial-Intelligence Agency. You will learn and explore new technologies, demonstrate good analysis and problem-solving skills, and apply theory to observables or proxy data to address intelligence issues. This positions will be located in Springfield, VA.
You must satisfy one or more of the specialized focus areas listed below:
Analytic Automation - Data
Evaluate and establish specific data set criteria to include data create attributes, source diversity and source metadata.
Aggregate supplemental information from other sources as a means of enhancing performance of machine learning algorithms.
Emphasize quality and diversity of data sets as gathering methods are established.
Provide architectural design and dev-ops expertise to a Research group deploying solutions within cloud and on-premise modern GPU-compute environment.
Architect cloud environment such as AWS, Azure or another cloud environment in support of development teams.
Provide technical guidance and support to teams deploying containerized solutions in cloud and hybrid environments.
Understand CPU/GPU concepts, architectures, and support tools such as workload managers (SLURM), container management (Docker, Singularity) and registration (Kubernetes), and capacity planning highly desired.
Master s Degree in a Science, Technology, Engineering, Mathematics (STEM) or related field (19 years' of relevant work experience may be substituted in place of degree).
Activate TS/SCI clearance (with CI poly).
Please Note: U.S. Citizenship is required for this position.