About Vantor
Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can shape your own future, build the next big thing, and change the world.
Job Details
We are seeking a Software Integration Engineer for Mission Systems to join our International Government (IG) Mission Acceleration Group. This role is focused on enabling customer success by supporting the integration and deployment of our advanced spatial intelligence and AI‑powered product suite into ISR platforms and environments such as UAVs.
The ideal candidate is a technically credible, mission‑oriented software engineering innovator who thrives in fast‑paced, customer‑facing environments. Additionally, this person will bring a systems‑level mindset, familiarity with embedded edge platforms, and a deep understanding of sensor data flows, navigation solutions and mission‑critical applications.
As a Software Integration Engineer for International Government, you will lead systems level technical and engineering engagements with UAV OEMs, defense integrators, and mission focused customers. Your focus will be on helping customers evaluate, integrate, and deploy our products, system components and early‑stage solutions, such as SDKs into a variety of environments including edge compute systems, environments supporting positioning and navigation, imagery, and real‑time analysis.
This position is ideal for a technically strong, hands‑on engineer who can bridge the gap between software algorithms, OEM systems and field testing, and who thrives in dynamic, cross‑functional environments.
Responsibilities
- Serve as the technical lead for solution engineering integrations involving satellite imagery and full motion video into systems such as 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, 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.
- Communicate and collaborate effectively 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 our capabilities with high‑value customers.
Minimum Qualifications
- 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%).
Preferred Qualifications
- Master’s degree in engineering, Computer Vision, Software Engineering or a related technical field.
- Exposure to Linux‐based embedded systems and configurations (e.g., systemd, Yocto, Docker).
- Familiarity with GNSS/INS navigation systems, video odometry, or visual‑inertial fusion stacks.
- Familiarity with UAV systems, including configuration, tuning, and troubleshooting of interfaces to autopilots.
- Familiarity with OGC geospatial standards (WMS, WMTS, WFS) or real‑time geospatial streaming protocols.
- Familiarity with lightweight messaging and data transport frameworks, such as ZeroMQ or Protobuf.
- Hands‑on experience building or modifying companion computer architectures (e.g., Jetson, Raspberry Pi, STM32MP1).
- Background in AI/ML applications related to computer vision, sensor fusion, or ISR analytics.
- Experience conducting technical feasibility assessments for mission‑critical platforms including UAVs and other edge deployments.
- Active UK or other European government security clearance.
EEO Policy
Vantor is an equal opportunity employer committed to an inclusive workplace. We believe in fostering an environment where all team members feel respected, valued, and encouraged to share their ideas. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender identity, sexual orientation, disability, protected veteran status, age, or any other characteristic protected by law.
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