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Draper Principal Systems Engineer for Model-Based Design & Architecture in Cambridge, Massachusetts

Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 1,800 employees of Draper tackle important national challenges with a promise of delivering successful and usable solutions. From military defense and space exploration to biomedical engineering, lives often depend on the solutions we provide. Our multidisciplinary teams of engineers and scientists work in a collaborative environment that inspires the cross-fertilization of ideas necessary for true innovation. For more information about Draper, visit www.draper.com.

Our work is very important to us, but so is our life outside of work. Draper supports many programs to improve work-life balance including workplace flexibility, employee clubs ranging from photography to yoga, health and finance workshops, off site social events and discounts to local museums and cultural activities. If this specific job opportunity and the chance to work at a nationally renowned R&D innovation company appeals to you, apply now www.draper.com/careers.

Equal Employment Opportunity

Draper is committed to creating a diverse environment and is proud to be an affirmative action and equal opportunity employer. We understand the value of diversity and its impact on a high-performance culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.

Draper is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. To request reasonable accommodation, please contact hr@draper.com.

The Draper System Modeling and Assurance Division is seeking a self-motivated systems engineer to perform systems design and analysis in a multi-disciplinary manner with model-based methodologies.

Using architectural modeling tools, such as MagicDraw, you will join a team designing innovative, first-of-a-kind complex systems that integrate advanced technologies in order to solve challenging national problems while satisfying requirements and maximizing stakeholder value. To effectively address these challenges, the ideal candidate would have the ability to become knowledgeable in various problem domains, identify relevant modeling and analysis techniques, develop or integrate multi-domain quantitative models and present results that support system-level analysis, performance trade-offs, and decision-making.

Typical job duties may range across architecting, developing, and validating models and infrastructure for design, assessment, and analysis of complex systems. In addition, the candidate will work as a member of a cross-functional engineering team to frame the challenges of customers in military, space, intelligence, and commercial applications to help the customers better articulate drivers of system performance or value and understand key design trade-offs. Communication and interpersonal skills are highly valued in this role. A working knowledge of advanced methods for conceptual design is highly desired.

Required Qualifications:

  • MS or PhD degree in engineering (ME, EE, Aero, Computer) or relevant technical field of study.

  • Experience or education in systems engineering and systems architecting using model-based engineering processes and tools such as SysML.

  • Excellent oral and written communication skills.

  • Demonstrated leadership skills and ability to work well in cross-functional project teams.

Preferred Qualifications:

  • Model-based Systems Engineering (MBSE) frameworks and integrated modeling tools such as MagicDraw and related products.

  • INCOSE Systems Engineering Handbook or other government or industry Systems Engineering standards.

  • Experience formulating and developing quantitative models or applications in MATLAB, Simulink, C/C++, or Python.

  • Requirements exploration, prioritization and analysis methods such as quality function deployment (QFD), analytical hierarchy process (AHP), affinity diagrams or design of experiments (DOE).

  • Risk and uncertainty analysis or using probabilistic design methods such as Monte Carlo simulation or real options analysis.

Security Requirement:

  • Applicants selected for this position will be required to obtain and maintain a government security Government security clearance requires proof of US citizenship.

ID: 2020-4852

External Company Name: The Charles Stark Draper Laboratory Inc

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