Summary
Sabel Systems designs and delivers digital engineering ecosystems for Department of Defense programs, connecting data, systems, and personnel within secure, scalable environments. The Systems Engineer will analyze systems-level problems, support integration across Digital Engineering environments, develop technical artifacts, engage with customers and stakeholders, and help resolve ambiguous engineering challenges.
Responsibilities
- Analyze systems-level problems involving requirements, interfaces, dependencies, engineering data, tools, workflows, and multiple technical disciplines
- Apply Systems Engineering fundamentals to understand requirements, interfaces, data flows, dependencies, tradeoffs, integration challenges, and verification of technical outcomes
- Quickly learn unfamiliar engineering problems, tools, standards, and domains and begin contributing without already being the established SME
- Apply analytical and data-driven thinking across mechanical, electrical, software, systems, and technical data problem sets
- Support integration and interoperability of engineering applications, data, models, and workflows across Digital Engineering environments
- Work across MBSE, PLM, requirements management, digital threads, technical data, CAD and engineering data, and related engineering workflows as customer needs require
- Drive productive customer-facing technical conversations, ask the right questions, uncover the underlying need, and communicate effectively across engineers, SMEs, program personnel, and leadership
- Take ownership of ambiguous technical problems by researching the issue, structuring the problem, identifying gaps, engaging the right SMEs, and helping drive resolution
- Develop technical artifacts such as requirements analyses, interface definitions, data-flow descriptions, trade studies, workflow mappings, verification approaches, and integration concepts
- Progressively develop the technical depth and confidence to independently lead engineering discussions and workstreams
- Contribute as a practical, hands-on engineer who is willing to work directly in the problem space, not only coordinate the work
Skills
- Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Analytics, or another relevant technical discipline
- U.S. Citizenship and ability to obtain a DoD Secret clearance
- Strong technical problem-solving ability and demonstrated capacity to learn unfamiliar engineering concepts, tools, standards, and domains quickly
- Working knowledge of Systems Engineering fundamentals, including requirements, interfaces, dependencies, data flows, integration, tradeoffs, and verification
- Systems-level thinking and the ability to understand how engineering disciplines, technical data, applications, and workflows interact within a larger system
- Strong analytical skills and the ability to apply a data-driven mindset outside a candidate's primary technical specialty
- Ability to communicate effectively with technical and non-technical stakeholders and contribute confidently in customer-facing engineering discussions
- Ability to work through ambiguity, independently research technical issues, identify gaps, seek appropriate SME input, and drive problems toward resolution
- Experience working with or integrating data between applications, engineering tools, analytics platforms, or technical systems
- Strong written communication and technical documentation skills
- Experience supporting defense, aerospace, complex product development, manufacturing, sustainment, or another engineering-intensive environment
- Exposure to MBSE, PLM, digital threads, requirements management, CAD or product data, technical data, Digital Twins, ALM or DevSecOps, or engineering analytics
- Experience with interoperability, data modeling, APIs, data transformation, or cross-tool workflows
- Exposure to engineering or lifecycle tools such as Cameo, Teamcenter, Windchill, Jira, GitLab, CAD platforms, requirements tools, or comparable technologies
- Current DoD Secret clearance
- Master's degree in Systems Engineering, Engineering, Data Science, Analytics, Computer Science, or another relevant technical discipline preferred
Qualifications
Must Haves
- Bachelor's degree in Systems Engineering, Engineering, Computer Science, Data Science, Analytics, or another relevant technical discipline
- U.S. Citizenship and ability to obtain a DoD Secret clearance
- Strong technical problem-solving ability and demonstrated capacity to learn unfamiliar engineering concepts, tools, standards, and domains quickly
- Working knowledge of Systems Engineering fundamentals, including requirements, interfaces, dependencies, data flows, integration, tradeoffs, and verification
- Systems-level thinking and the ability to understand how engineering disciplines, technical data, applications, and workflows interact within a larger system
- Strong analytical skills and the ability to apply a data-driven mindset outside a candidate's primary technical specialty
- Ability to communicate effectively with technical and non-technical stakeholders and contribute confidently in customer-facing engineering discussions
- Ability to work through ambiguity, independently research technical issues, identify gaps, seek appropriate SME input, and drive problems toward resolution
- Experience working with or integrating data between applications, engineering tools, analytics platforms, or technical systems
- Strong written communication and technical documentation skills
Nice to Haves
- Experience supporting defense, aerospace, complex product development, manufacturing, sustainment, or another engineering-intensive environment
- Exposure to MBSE, PLM, digital threads, requirements management, CAD or product data, technical data, Digital Twins, ALM or DevSecOps, or engineering analytics
- Experience with interoperability, data modeling, APIs, data transformation, or cross-tool workflows
- Exposure to engineering or lifecycle tools such as Cameo, Teamcenter, Windchill, Jira, GitLab, CAD platforms, requirements tools, or comparable technologies
- Current DoD Secret clearance
- Master's degree in Systems Engineering, Engineering, Data Science, Analytics, Computer Science, or another relevant technical discipline preferred
Benefits
- Fully remote work arrangement
- Healthcare
- Financial assistance in the event of illness, injury, disability, loss of work, or death
- Health savings accounts
- Retirement plans
- Paid time off
- Paid holidays
- Education and training program reimbursement