- Employment
- Full-time
- Seniority
- Staff
About the role
We are seeking a skilled engineer to lead the modeling and simulation efforts for Camgian. The modeling and simulation lead will play a critical role in not only in the test and evaluation of Camgian’s diverse product set but also integrating model driven engineering into the full development lifecycle to reduce risk and increase development velocity. They will be responsible for directly developing and validating models at various levels of complexity as well as advising and overseeing their development within other functional areas. This position will involve coordination with a diverse set of stakeholders and will require excellent written and verbal communication skills.
Qualifications
Bachelor’s degree in engineering, math, or related technical field with at least 15+ years of applicable experience.
Strong foundation in mathematics
Parametric modeling
Experience with defense simulation systems
Experience with AI/ML model training and integration for simulating behaviors
Experience with user/human factor models
Experience in combat system modeling
Experience modeling distributed multi agent systems
Strong ability to mitigate technical risks
Proficiency with multiple languages and modeling frameworks including C++ and Python
United States Citizenship
Desired Skills
Experience with Model Based Engineering tools (Enterprise Architect, Cameo, etc.)
Experience with graphical modeling languages like UML, SysML, and defense frameworks
Experience with simulation standards like DIS and HLA
Experience with discrete event models
Domain experience in combat systems and sensor fusion
Experience with AFSIM
Domain experience in AI/ML, data science, and prognostics
Master’s or PhD in related field
Key Responsibilities
Define simulation needs across the board from ML model training through mission effectiveness
The creation of models across several levels of abstraction
Perform operational and mission effectiveness analysis
Scenario definition
Verification and validation of existing models
Simulation result analysis
Assist in risk management and identify approaches for technical risk burndown
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