Principal Digital Engineering Solutions Architect

Key Skills

Data science techniques, Data Visualization, Descriptive analysis , Design, Digital Marketing/Sales, Effective communication skills, Machine learning techniques, Python Programming, Simulation software, Simulink, Software Development

Job Description

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.

Responsibilities

Draper’s Systems Engineering Directorate is seeking a Digital Engineering Solutions Architect to develop next generation Model-based Systems Engineering (MBSE) and Digital Engineering (DE) capabilities for domains such as: strategic deterrent systems, missile defense systems, hypersonic missiles, space systems, precision guided munitions, and autonomous air/sea vehicles. Our multidisciplinary teams develop innovative solutions that support the full system lifecycle from trade studies, to concept and architecture design, to integration, and to testing and operation.

Draper has adopted an integrated, model-driven digital approach to solving Systems Engineering problems spanning the entire lifecycle. From early conceptual system design and architecture, detailed modeling, model-driven development, integration and testing, to deployment and performance monitoring, Draper has a rich suite of Digital Engineering solutions. For this role, we need candidates with broad interests in Model-based Engineering, and in the trinity of data architecture, advanced computing, and intelligent algorithms to develop digital capabilities such as Digital twins and digital threads for our projects. Our approach supports - the entire lifecycle, from “as-designed” through “as-deployed” - phases in supporting uncompromised quality of solutions.

Qualifications

The required qualifications for this job include:

• An M.S. degree or higher in Aerospace, Mechanical, or Electrical Engineering, Physics, Mathematics, Computer Science, or related field
• 12+ years of relevant experience in enhancing National Security through the application of advanced technology to system level solutions
• Interdisciplinary expertise in some or all of these topics is needed - Systems Engineering, Model based Systems Engineering (MBSE), Trade Space Exploration (TSE), Digital twin, Digital thread.
• Demonstrated experience in full-lifecycle integration for complex systems
• Ability to create and present senior level communications for internal and external customers.
• Some travel is needed.

Desired qualifications include:

• Knowledge in Machine Learning and Data Science.
• Ability to develop and maintain effective working relationships with other leading national experts in science and technology from academia, national laboratories, and industry who may have ongoing competing priorities and viewpoints.
• Experience in leading or involvement in organizational transformations
• Experience in data visualization and story boarding
• Prior experience in architecture and development of Digital twin and thread
• Experience in design and development of Underwater systems.