Mission Systems Software Integration Engineer

Vantor Holdings, Inc.; United States; Remote; USD 110,000 - 170,000; Full time

Job summary

Vantor Holdings, Inc. is seeking a Software Integration Engineer for Mission Systems to enable customer success by integrating spatial intelligence and AI tools into ISR platforms, including UAVs.

You will lead software integrations, perform field testing, and work with OEMs and defense customers to deploy our SDKs across edge and onboard systems. The ideal candidate has strong Python and C++ skills, experience with embedded platforms, and a systems mindset for end-to-end integration in dynamic

Qualifications

• Bachelor’s degree in a STEM field or equivalent practical experience.
• Experience supporting ISR/UAS or defense system integrations.
• Proficiency in Python and C++ for software integration and prototyping.
• Familiarity with imagery/video formats and geospatial data.

Responsibilities

• Lead solution engineering integrations for satellite imagery and video into UAS systems.
• Interface with partners and OEMs to support demonstrations and field testing.
• Configure Jetson and Raspberry Pi based companions and analyze telemetry data.
• Document integration procedures, test plans, and troubleshooting guides.
• Provide input to product teams to improve usability and performance in field conditions.
• Contribute to RFP/RFI content and coordinate data interfaces across teams.
• Collaborate across engineering, product, and field teams to validate interfaces.

Skills

Python

C++

Systems integration

Field testing

Team collaboration

Education

Bachelor’s degree in STEM

Tools

OpenCV

PyTorch

GDAL

Cesium

Unity

Job description

Vantor Holdings, Inc. is seeking a Software Integration Engineer for Mission Systems to enable customer success by integrating spatial intelligence and AI tools into ISR platforms, including UAVs.

You will lead software integrations, perform field testing, and work with OEMs and defense customers to deploy our SDKs across edge and onboard systems. The ideal candidate has strong Python and C++ skills, experience with embedded platforms, and a systems mindset for end-to-end integration in dynamic