Systems Modeling and Analysis Engineer

Base pay range

$/yr - $/yr

• Develop and Analyze Modeling Frameworks:
  Design, develop, and maintain modeling and synthesis frameworks incorporating scenarios and critical mission threads based on customer needs.
• Apply Model-Based Systems Engineering (MBSE):
  Apply MBSE methods with tools like Cameo/Magic Draw to support system development activities, including requirements analysis, system design, and interface definition.
• Utilize modeling methodologies to enable the evaluation and optimization of design parameters and Figures of Merit during the system synthesis of complex aerospace systems
• Conduct Data Analytics and Optimization:
  Design and develop data-driven models and analytics applications using tools like Python, MATLAB, Mathcad and Simulink.
• Apply advanced analytical techniques, including statistical analysis, data mining, machine learning, and potentially deep learning, to extract insights from large datasets.
• Analyze complex datasets to identify trends, anomalies, and key performance indicators, enhancing model accuracy and providing actionable insights.
• Develop and implement algorithms that leverage analytical findings to optimize operational efficiencies.
• Perform operational and mission effectiveness analysis.
• Utilize data analytics for system performance monitoring, anomaly detection, and optimization.
• Collaborate with cross-functional teams, including government stakeholders, software developers, and domain experts.
• Communicate technical information effectively to both technical and non-technical audiences through reports and briefings.
• Translate user needs into technical system requirements and support concept development, trade studies, and subsystem reviews.
• Develop and maintain model artifacts, supporting documentation, and ensuring requirements traceability within MBSE models.
• Proactively identify opportunities to improve processes and solutions and contribute to the evolution of advanced technology solutions.

• Bachelor's degree in a STEM field (e.g., Systems Engineering, Computer Science, Electrical Engineering, Mathematics, Physics).
• 5 years of experience in Modeling & Analysis.
• Proficiency in programming languages such as C++, Python, or MATLAB.
• Experience with MBSE methodologies and tools (e.g., Cameo/Magic Draw, SysML).
• Demonstrated experience with data analytics and related tools/techniques.
• Experience in developing and analyzing complex system models and simulations.
• Strong understanding of systems engineering principles and methodologies.
• Excellent communication, interpersonal, and problem-solving skills.
• Ability to work both independently and collaboratively within a team environment.

• Background in machine learning, artificial intelligence, or data science.
• Familiarity with cloud platforms (e.g., AWS, Azure) and containerization technologies (e.g., Docker).
• Experience with version control tools such as Git or similar.
• Familiarity with Agile development methodologies.
• Experience working with large datasets and related tools (e.g., databases, visualization tools like Tableau or Power BI).

• Relocation assistance
• Excellent medical, dental, and vision insurance through a PPO plan (100% premium paid for individuals, ~70% for dependents)
• Company-paid life, AD&D, long-term disability, and short-term disability insurances
• Parental leave
• Generous PTO + 10 paid holidays
• 401(k) matching up to 6%
• Lunch and snacks provided every day, including accommodations for all dietary restrictions
• Monthly wellness stipend
• Monthly cell phone stipend
• Yearly education stipend to obtain certifications or take classes in your field
• Fun events, swag, and the occasional airship ride
• An opportunity to change the world and work with some of the smartest and the most talented experts from different fields

• Criminal background check clearance
• Drug test clearance wherever applicable

Mid-Senior level

Full-time

Aviation and Aerospace Component Manufacturing