Software Integration Engineer

• Serve as the technical lead for solution engineering integrations involving satellite imagery and full motion video into UAS visual positioning, odometry, and navigation systems
• Interface with external integration partners, defense customers, and OEMs to support system demonstrations, field testing, and collaborative development on prototypes
• Conduct bench and field integration testing, including configuration of Jetson and Raspberry Pi series companion computers, autopilot stacks (PX4, ArduPilot), and analysis of telemetry, imagery, and positioning data
• Qualify integration feasibility, including SWaP requirements and solution design, and ensure successful deployment
• Develop and document integration procedures, test plans, and troubleshooting guides
• Provide technical input to product engineering teams to improve product usability, reliability, and performance under field conditions
• Lead the co-development of technical content for RFPs, RFIs, and tenders
• Collaborate across internal product, engineering, and field teams to define and validate interfaces and data flows between products and OEM systems such as flight controllers and companion computers
• Shape the positioning and technical articulation of capabilities with high-value customers

• Bachelor’s degree in a STEM discipline (e.g., Aerospace, Computer Science, Electrical or Mechanical Engineering, Math) or equivalent practical experience
• Experience supporting ISR, UAS, aerospace, or defense system integrations
• Demonstrated expertise and proficiency in Python and C++ for software integration, SDK adaptation, and prototype development
• Experience working with ISR-relevant imagery and video formats, such as GeoTIFF, MPEG-TS, KLV metadata, H.264/H.265, STANAG 4609, and MISB
• Understanding of 3D terrain data formats (e.g., DEM/DTED, Cesium 3D Tiles) and coordinate systems (e.g., WGS84, UTM)
• Familiarity with tools and frameworks like OpenCV, PyTorch, GDAL, Cesium, or Unity
• Practical knowledge of embedded Linux platforms (e.g., NVIDIA Jetson, Raspberry Pi, NXP) and their deployment environments
• Proven ability to collaborate across engineering, product, and field teams to deliver successful customer outcomes
• Willingness and ability to travel domestically or internationally (average ~25%, with peaks up to 50%)

• Equal opportunity employer committed to an inclusive workplace
• Consideration for qualified applicants without regard to protected characteristics
• Opportunity to work on mission-driven spatial intelligence and AI-powered products
• Opportunity to shape your own future, build the next big thing, and change the world