Modeling and Simulation Engineer

The Leidos Innovation Center currently has an opening for a Modeling and Simulation SME. This is an exciting opportunity to use your experience helping the AFRL Combat ID advanced research and developments. We perform research-level data analytics to advance the state-of-the-art in advanced machine learning and data fusion applications across multi-modal remote sensing systems on all domain platforms and verify mission improvement through model and simulation analysis to validate new and advanced concepts.

Primary Responsibilities:

• Perform modeling simulation and analysis tasks assessing operational relevance system survivability system effectiveness and overall system performance in engagement and mission-level scenarios.

• Develop performance models and algorithms threat models and command and control models for new and/or existing system simulation frameworks

• Perform high-level software development functions using Python C Java or similar languages including design development troubleshooting and debugging software programs.

• Collaborate with other experts within the program and in the user community to design develop and debug existing software and to design and develop enhancements that incorporate new capabilities into various components of the existing systems.

• Responsible for using sound software engineering principles to ensure that developed code is modifiable efficient reliable understandable fault tolerant and reusable including providing software process management and control throughout the coding portion of the software development process.

• Contribute to software development activities as a member of an agile team and actively participate in program increment planning Feature and Story development Sprint Planning Demos Iteration Retrospectives and related team activities.

• Provide input to the test report ensuring that all stated requirements and test objectives have been evaluated and the documented results adequately and accurately reflect the collected data and analysis conducted during the event.

• Author design and apply DOE and Combinatorial Testing (CT) to test case design.

• Author design and apply Statistical Test and Analysis Technique (STAT) to test events.

• Design and build test STAT/DOE frameworks.

• Setup deploy and operate the STAT/DOE tools for executing test cases.

Basic Qualifications:

• Bachelors degree with 4 years of prior relevant experience or Masters with 2 years of prior relevant experience

• Ability to apply M&S expertise through technology processes methodologies standards or frameworks.

• Demonstrated experience in applying STAT/DOE tools and applying STAT/DOE methodologies in an integrated test environment.

• Experience creating M&S scenarios of threat neutral and friendly aircraft ground units surface and subsurface platforms and their corresponding weapons and subsystems and their interactions in a realistic theater environment.

• Proficient in C and building solutions with cmake

• Significant experience and proficiency in Python and MATLAB

• Familiarity using git Jenkins svn JIRA or other version control technologies

• Familiarity with Linux and Windows operating systems

• Experience programming network connections (message generation formatting UDP and TCP/IP interfaces)

• Creating and running unit test

• Developing software documentation

• Working within an Agile team environment to include Program Increment Planning Iteration Planning Feature and Story development Sprint Planning and Iteration Retrospectives.

• Participating in demos for the team and program Sprint reviews

• Must be a US citizen possess and be able to maintain an active secret clearance

Preferred Qualifications.

• Ability to obtain and maintain a TS/SCI clearance

• Hands-on experience using STAT/DOE tools such as Design Expert Automated Combinatorial Testing for Software (ACTS) or JMP.

• Experience developing and/or supporting CI/CD pipelines (Ansible Jenkins)

• Familiarity with Gitlab and/or Jira - issue tracking and agile project management or similar tool

• Experience using AFSIM and successful completion of AFSIM training

• Experience performing model verification and validation

• Previous experience in sensor exploitations such as developing Automatic Target Recognition (ATR) Combat Identification (CID) tracking detection fusion or pattern of life algorithms and/or models

• Strong understanding of statistics such as Bayesian statistics

• Strong background in machine learning artificial intelligence or data science

• Familiarity with internet of things (IoT) sensing social network analysis supply chain analysis forensic accounting pattern of life natural language processing social media analysis classification algorithms and/or image processing

• Background with multi-statics radar research and development

Original Posting:

For U.S. Positions: While subject to change based on business needs Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

The Leidos pay range for this job level is a general guideline onlyand not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job education experience knowledge skills and abilities as well as internal equity alignment with market data applicable bargaining agreement (if any) or other law.