
Posted 22 days ago
Systems Engineer
AI Summary
Serves as a systems engineer and integrator at NRL in Washington, D.C., providing SETA and integration support across the systems lifecycle, from CONOPS and requirements through testing, transition and operations. Requires strong intelligence analytic background and data automation skills.
About this role
XMSTART is looking to add an experienced and strategic full-time SE to our team, at NRL in Washington, D.C. This position is 100% onsite.
The SE will be required to perform high-level experimental prototyping of system-to-user analytical processes. The SI will provide guidance and support to government customers on all aspects of the systems life cycle including CONOPS development, capturing requirements, working with developers to deliver capability, testing to ensure capabilities meet requirements, transition to operations and operations support.
The candidate should be an experienced system integrator with a strong Intelligence analytic background. The desired candidate should also have experience with data science techniques such as programming languages and or data automation.
RESPONSIBILITIES INCLUDE, BUT ARE NOT LIMITED TO THE FOLLOWING:
- End-to-end systems integration prototyping
- Data automation
- Providing Systems Engineering Technical Advisor (SETA) and Systems Engineering
- Integration services with a focus on integration and operations of a complex mission system and supporting IT infrastructure
- Working with the team leads, program managers, and acquisition professionals to validate an acquisition strategy and its ability to support a technically feasible outcome that meets the customer’s needs
- Integrating new systems and initiatives in support of customer’s requirements based off user’s operational needs
- Understanding system-to-system interfaces and act as an Integrator
- Assisting in preparation of presentations and reports
- Monitoring system and segment schedules, and recognizing dependencies
- Identifying risks and opportunities
Requirements
- Junior: A technical degree: 5 to 7 years with BS/BA or 3 to 5 years with MS/MA or 2 years with PhD
- Mid- A technical degree: 10 to 12 years with BS/BA or 8 to 10 years with MS/MA or 5 to 7 years with PhD
- Senior - A technical degree: Over 15 years with BS/BA or 10 to 12 years with MS/MA or 8 to 10 years with PhD
- An active TS/SCI with Poly
- Extensive Intelligence Analytic experience
- Experience as a System Engineer or System Integrator
- Experience with data automation analytics
- Experience with data science techniques and programming languages
- Experience with Collection Management and Multi-INT Systems
- Extensive experience with NRO Enterprise software applications
Desired Skills:
- JEMA
- Data Science: Python, SQL, R, JavaScript, HTML, XML, JSON, KML, jupyter notebook, Analyst notebook, API’s, Geoserver, ArcGIS Feature Services, WMS, WFS
- IC analytic tools: FADE MIST, bodhi, chatsurfer, Sentient, Clairvoyant, Mission Presenter
Skills
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