Job description

Overview: Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The 2,000 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 . Job Description Summary: The Data Retrieval, Engineering, Architecture, and Management (DREAM) Group at Draper is seeking a Digital Engineering Data Solutions Architect  to develop next generation Relational Cross Domain Data Digital Engineering Architecture for domains such as: strategic deterrent systems, missile defense systems, hypersonic missiles, space systems, precision guided munitions, and autonomous air/sea vehicles. Our multi-disciplinary teams innovate and develop solutions for full system development lifecycle in areas of importance for national security.   Draper has adopted an integrated, model-driven digital mindset in solving Systems Engineering problems spanning the entire lifecycle. From early-lifecycle conceptual system design and architecture, detailed modeling, model-driven customer reviews, verification and validation, integration and testing, to deployment, surveillance and performance monitoring, Draper has a suite of Digital Engineering solution needs across our projects. Our thinking spans the entire gamut, from “as-designed” to “as-deployed” lifecycle phases in supporting uncompromised delivery of solutions.   For this role, the ideal candidate will work as part of an interdisciplinary team. The candidate will support the development of digital capabilities like digital twins and digital threads, working closely with experienced engineers to learn and apply best practices. This role provides a foundation for growing expertise in data architecture, systems engineering, and advanced computing, with opportunities to contribute to innovative solutions. Communications and interpersonal skills are highly valued in this role.  The ability to communicate technical concepts effectively with customers, engineers, managers, and other stakeholders of all relevant disciplines is a must.  Flexibility to multi-task and adapt to evolving priorities will be required.  We value continuous learning and professional growth.   The preferred qualifications for this job include:   - An M.S. degree or higher in Aerospace, Mechanical, or Electrical Engineering, Physics, Mathematics, Computer Science, or related field   - Knowledge and interest in interdisciplinary work spanning Systems Engineering, Machine Learning and Data Science.   - Experience with relational Ontologies, APIs, designing schemas for workflows   - Experience with various types of data, data states, frequency, volume  - Experience in managing data from interdisciplinary and various program protection levels  Job Description: Duties/Responsibilities • Performs analysis approaches for a particular problem and independently execute assignments. • Independently execute system engineering lifecycle assignments; concept and architecture design, integration, testing and operation. • Contribute high quality content for technical reports and presentations with minimal guidance • Proactively identify needs and concerns associated with design decisions and communicate them to project leadership • Contribute to the updates of best practices and processes to reflect the most up to date tools and procedures. • Work in a collaborative multidisciplinary environment including stakeholders and external partners. • Contribute to translation of requirements into technical and architectural decisions. • Performs other duties as assigned. Skills/Abilities • Excellent mathematical skills. • Thorough understanding of engineering theories and procedures. • Ability to collaborate within a diverse and multidisciplinary team. • Excellent verbal and written communication skills. • Excellent organizational skills and attention to detail. • Excellent time management skills with the proven ability to meet deadlines. • Ability to become knowledgeable in various problem domains, identify relevant modeling and analysis techniques, and develop or integrate multi-domain qualitative models. • Ability to present results that support system-level analysis, performance trade-offs, and decision-making is critical, thus communications and interpersonal skills are highly valued in this role. • The ability to communicate technical concepts effectively with customers, engineers, managers, and other stakeholders of all relevant disciplines is a must. • Flexibility to multi-task and adapt to evolving priorities. • Knowledge and interest in interdisciplinary work spanning Systems Engineering, Model based Systems Engineering (MBSE), Trade Space Exploration (TSE), Machine Learning and Data Science. Education Bachelor’s degree in Aerospace, Electrical, Mechanical, or other relevant Engineering field. Master's degree preferred. Experience • Requires 3-5 years experience in systems analysis or related. • Experience in use of MBSE tools such as SysML, knowledge in MATLAB/Simulink. • Experience in integrating descriptive modeling tools with other simulation tools. Additional Job Description: Applicants selected for this position will be required to obtain and maintain a government security clearance. Connect With Draper for Future Opportunities! If you don t find the right posting in our Career Opportunities, you may submit your resume for future consideration. Job Location - City: Cambridge Job Location - State: Massachusetts Job Location - Postal Code: 02139-3563 The US base salary range for this full-time position is $75,000.00 - $150,000.00 Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Union ranges will be in compliance with the collective bargaining agreement s approved rates by location and role. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Please note that the compensation details listed in US role postings reflect the base salary only, and does not include bonuses or benefits. 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 . Draper is committed to creating an inclusive environment. We understand the value of inclusivity 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, 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 .

Requirements

Must-haves

An M.S. degree or higher in Aerospace, Mechanical, or Electrical Engineering, Physics, Mathematics, Computer Science, or related field
Knowledge and interest in interdisciplinary work spanning Systems Engineering, Machine Learning and Data Science.
Experience with relational Ontologies, APIs, designing schemas for workflows
Experience with various types of data, data states, frequency, volume
Experience in managing data from interdisciplinary and various program protection levels
Duties/Responsibilities
Performs analysis approaches for a particular problem and independently execute assignments.
Independently execute system engineering lifecycle assignments; concept and architecture design, integration, testing and operation.
Contribute high quality content for technical reports and presentations with minimal guidance
Proactively identify needs and concerns associated with design decisions and communicate them to project leadership
Contribute to the updates of best practices and processes to reflect the most up to date tools and procedures.
Work in a collaborative multidisciplinary environment including stakeholders and external partners.
Contribute to translation of requirements into technical and architectural decisions.
Performs other duties as assigned.
Skills/Abilities
Excellent mathematical skills.
Thorough understanding of engineering theories and procedures.
Ability to collaborate within a diverse and multidisciplinary team.
Excellent verbal and written communication skills.
Excellent organizational skills and attention to detail.
Excellent time management skills with the proven ability to meet deadlines.
Ability to become knowledgeable in various problem domains, identify relevant modeling and analysis techniques, and develop or integrate multi-domain qualitative models.

Nice-to-haves

The preferred qualifications for this job include:
Bachelor’s degree in Aerospace, Electrical, Mechanical, or other relevant Engineering field. Master's degree preferred.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learning

Platform: workday
Effort: long