Sr. Product Engineer - National Imagery

Esri•Redlands, CA
•Onsite

About The Position

Help lead the development of advanced image analysis solutions for the defense and intelligence community. The Sr. Product Engineer designs, tests, documents, and deploys software solutions that apply scientific principles in photogrammetry, remote sensing, and AI to geospatial software capabilities. The role involves understanding how subsystems fit together, defining critical functionality, shaping user experiences, ensuring quality, and mentoring others.

Requirements

  • At least 5 years of engineering experience working on COTS or GOTS software products.
  • Advanced experience in remote sensing, image processing, photogrammetry, or image analysis.
  • Proven ability to lead major testing or design efforts and mentor others.
  • Strong skills in preparing and automating test strategies and cases.
  • Experience managing project timelines and dependencies.
  • Excellent written and verbal communication skills.
  • Ability to work with controlled unclassified information (CUI).
  • Bachelor’s degree in geography, engineering, remote sensing, photogrammetry, or a related field.
  • U.S. citizenship and ability to obtain a U.S. Top Secret clearance with SCI access.

Nice To Haves

  • Master’s degree in geography, engineering, remote sensing, photogrammetry, or a related field.
  • Experience in the defense and/or intelligence communities.
  • Proficiency in modern programming languages such as Python or C# for validation and sample development.
  • Familiarity with NITF format and multiple image modalities.
  • Experience with ArcGIS Pro, ENVI, Socet GXP, Erdas, or RemoteView.
  • Experience as a Scrum Master or project lead.

Responsibilities

  • Design, document, and test software solutions for imagery products supporting defense and intelligence formats such as NITF, GeoTIFF, CADRG, and MISB-compliant full-motion video (FMV).
  • Collaborate with software developers to integrate and test community analytical toolkits and libraries in ArcGIS.
  • Orchestrate and document results from holistic defense and intelligence lab testing.
  • Collaborate with software project teams to design and build software and plan future releases.
  • Define, document, and prioritize user requirements and develop best practices for using GIS software in real-world remote sensing scenarios.
  • Potentially lead the design, development, and documentation of automated QA plans and tests, including standard operating procedures (SOPs), image quality metric evaluations, and regression testing.
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