Principal Systems Engineer
Role details
Job location
Tech stack
Requirements
architectures using qualitative and quantitative techniques and exploring large tradespaces
Basic Qualifications:
- Bachelor's degree in Engineering, Physics, Mathematics, Systems Engineering, Computer Engineering, Computer Science, or related technical discipline, or equivalent combination of related education and work experience
- Minimum of 10 years of related experience with a Bachelor's degree; or 8 years and a Master's degree; or a PhD with relevant experience
- Must be a U.S. citizen with ability to possess and maintain a DoD clearance
- This position requires a minimum of 4 days a week on-site
Preferred Qualifications:
- Active Secret or TS/SCI clearance
- Advanced degree in a relevant field
- Deep expertise in systems and enterprise architecture, with broad systems engineering experience across concept development, requirements, design, test, evaluation, and risk assessment
- Strong proficiency with modern systems engineering and digital engineering methods and tools (e.g., MBSE, SysML/UML, Cameo/MagicDraw, DOORS, Rhapsody), including developing plugins and integrating models across applications
- Experience in quantitative analysis and multi-disciplinary modeling and simulation using tools and languages such as MATLAB, Mathematica, Python/R, AFSIM, STK, Command PE, and data analytics environments
- Proven leadership in complex, multi-disciplinary environments, including leading teams and analyses, mentoring staff, developing new work, and objectively evaluating vendor solutions
- Demonstrated track record of innovation or research (e.g., publications) in systems, mission, or digital engineering, with strong interpersonal skills to build trusted advisor relationships and communicate across technical disciplines
- Excellent communication and interpersonal skills, with the, ability to build
Benefits & conditions
trusted advisor relationships and clearly convey complex technical concepts to diverse stakeholders,
This requisition requires the candidate to have a minimum of the following clearance(s):
SecretThis requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Top SecretSalary compensation range and midpoint:
$162,400 - $203,000 - $243,600 AnnualWork Location Type:
OnsiteIt is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to
About the company
Department Summary:
MITRE Technology and Engineering's Systems Engineering Division delivers innovative, multidisciplinary systems engineering solutions that support MITRE and its diverse sponsor base. The division is a leader across government, industry, and academia in advancing next-generation systems engineering and applying best practices to complex national security and public sector challenges. Its technical expertise includes:
- Mission, Enterprise, and Domain Engineering
- Systems Engineering, Architecting, and Lifecycle Integration
- Digital Engineering, Prototyping, and Modernization
- Architecture, Interfaces, and Open Systems
- Performance Analysis, Test, and Evaluation
- AI-Enabled Systems Engineering
The division applies these capabilities across sponsors to address broad national challenges, integrate lessons learned across domains, and continuously strengthen MITRE's impact and differentiated value in systems engineering.
Roles & Responsibilities:
As a Principal Mission Engineer, you will leverage and grow your systems engineering expertise to support the design, implementation, and integration of enterprise systems and systems-of-systems and analysis of missions for federal agencies. Specific responsibilities may include:
- Using your understanding of systems and mission engineering and an awareness of sponsor needs to determine areas where MITRE can have an impact
- Applying modern methods and tools such as Model-Based Systems Engineering, Digital Engineering, Mission Engineering, Machine Learning, and Data Analytics to assess capability needs, requirements, architectures, designs, performance constraints and gaps, proposed changes, and verification and test approaches
- Evaluating and comparing alternative