Spectral Integration Engineer (Expert Level) 112-153
Apply NowCompany: IC-CAP LLC
Location: Chantilly, VA 20152
Description:
Spectral Integration Engineer (Expert Level), with specific expertise in integration and deployment of spectral exploitation tools that serve as the foundation for a spectral exploitation environment used by Image Scientists to process, analyze and exploit literal and non-literal data. The candidate(s) is responsible for the engineering and deployment of a spectral exploitation environment and its integration within the broader NSG TCPED Enterprise. The candidate(s) will work with systems engineers, image scientists and developers to ensure applications and systems interoperate to deliver end-to-end mission solutions and maintain the integrity of the system-of-system enterprise.
Duties may include:
Education and Experience:
Required
Education and Experience:
Desired
Security Clearance:
IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.
Duties may include:
- Provides expert advice to the Government in the areas of relating vision, strategy, plans, needs, requirements, and process and capability developments.
- Assists the Government in the capture and translation of mission and customer requirements/needs into systems/capability requirements and solutions.
- Assists the Government in performing systems integration activities.
- Assists with the planning, analysis/traceability of user requirements, architectures traceability, procedures, and problems to automate or improve existing, workflow, and scheduling limitations.
- Assists the Government in strategic technical planning, project management, performance engineering, risk management and interface design.
- Lead the establishment of an integrated PED environment for spectral exploitation intended for image scientists to employ advanced tradecraft tools to process, analyze, and exploit literal and non-literal datasets.
Education and Experience:
Required
- 18+ years' experience.
- Bachelors degree or higher in Engineering, Computer Science, Imagery Analysis, or related STEM degree program, or related equivalent additional experience of 4 years with no degree or 2 years with a non-STEM degree.
- A minimum of 5 years of experience integrating sensor programs into large complex System of Systems or Service Oriented Architecture environments residing in cloud, on premise, or hybrid infrastructures.
- A minimum of 5 years NGA program/project work experience
- Experience integrating spectral data into spectral exploitation tools
- Experience integrating solutions using Cloud-based technologies.
- Experience with and strong understanding of systems engineering lifecycle.
Education and Experience:
Desired
- Masters degree or higher in Engineering, Computer Science, Imagery Analysis, or related STEM degree program.
- INCOSE Expert Systems engineering Professional (ESEP) certification.
- Experience integrating spectral exploitation tools within SAGE/CAP architecture
- Experience integrating solutions using advanced tradecraft tools used by NGA/ATS, such as Data Transformation Services and Full Spectrum Tool Kit.
- Working knowledge of Model-Based Systems Engineering, processes, tools, and languages.
- Demonstrated expertise in photogrammetry, remote sensing, image science, information sciences, geographic information systems, geomatics, or related fields.
- Demonstrated knowledge of the current NSG/ASG and NRO enterprises.
- Previous IC or DoD program/project work experience.
- Experience integrating solutions using Automation, Augmentation and Artificial Intelligence technologies.
Security Clearance:
- Active TS/SCI and the willingness to sit for a polygraph, if needed
IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.