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Software Engineer Machine Learning

Job Description

Infoscitex (IST), a DCS company, has an opportunity for an entry to mid-level Software Engineer to support an extensive modeling, simulation and analysis effort in our Dayton, OH, office. Our team is developing software simulation models, algorithms and related materials in support of research in the areas of air vehicle autonomy and human-autonomous systems interactions. The developed software is being implemented in Java and C/C++ to support its use within AFSIM and other simulation environments.

AFSIM is a U.S. Air Force simulation environment written in C++ and utilized for engagement-level and mission-level analysis by military operations research analysts to evaluate combat effectiveness of advanced weapon system concepts. AFSIM is a Monte Carlo simulation tool which may be run either constructively to generate analytic results, or in real-time to support Operator in the Loop (OITL) Experimentation and Wargaming needs. AFSIM is now becoming accepted as a standard operations analysis tool across DoD and industry.

Essential Job Functions:

In this role, you will have the opportunity to support activities in the following areas:

Developing software models for AFSIM and other simulation environments

Developing automated tests and documentation for the software products that our team produces

Research in Machine Learning (ML) and Artificial Intelligence (AI) techniques as applied to military tactics and human behavior representations.

Development of Air to Air combat engagement capabilities utilizing AI algorithms and P6DOF models.

Effects based representation of Electronic Warfare techniques as applied to military operations.

Ongoing development of effects-based representations of aerospace vehicles, weapon systems, sensors (including tracking and fusion capabilities), Electronic Warfare (EW) techniques, cyber effects, and communication systems.

You could anticipate being asked to:

Develop simulation software, using C++ and/or Java, including mathematical and physics based algorithms and graphical user interfaces and visualization.

Participate within a software development team to design, develop, test, and deploy assigned modeling and simulation software.

Apply software best practices (software development processes, version control, automated testing, documentation, etc.) for all developed and modified software.

Interact with government and industry customers to define requirements and meet analytic needs.

Present results of the team’s development activities to government and industry customers.

Some short term travel may also be requested of you, from time to time.

Required Skills:

Due to the sensitivity of customer related requirements, U.S. Citizenship is required.

At least a BS degree in engineering, mathematics, computer science, or related technical discipline and some related experience. (We have multiple levels associated with this opportunity category. Candidates with varying degree and experience combinations may be considered for alternative classifications.)

Applicants selected will be subject to a U.S. Government background investigation and must meet eligibility requirements for access to classified information: must be able to attain at least a Secret level security clearance.

Experience developing object-oriented software using programming languages such as C++, C#, or Java.

Ability to work well in team oriented environments.

Ability to travel, if needed.

We feel an ideal candidate would also bring the following qualities, but not required:

Experience with any LINUX OS.

Proficiency solving mathematical and physics-based problems of moderate complexity.

Experience with CMake.

Experience with software version control tools (Git, Subversion, CVS, etc.).

Advanced skills developing software using C++ and Java

Knowledge and experience with Modeling and Simulation (M&S) environments (constructive and virtual) and Modeling, Simulation, and Analysis (MS&A) concepts.

Domain knowledge related to machine learning

Domain knowledge in an engineering discipline relating to aerospace and defense (e.g., Aero, G&C, EE).

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