Solutions Engineer - New Products

Responsibilities

• Interface with existing Vantor Raptor customers worldwide to coordinate on integration of Raptor software into their systems architecture.
• Provide advice and guidance based on rigorous product knowledge and institutional experience base from past integrations.
• Travel to customer sites to deliver technical product expertise.
• Characterize product software performance of customer implementations and derive/capture technical requirements for feature improvements or additions.
• Assist customers with 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.
• Assist in generating engineering technical designs involving the use of satellite imagery and full motion video to accomplish UAS visual positioning, odometry, and navigation.
• Develop, document and convey technical and system requirements to product engineering team.
• Work within product engineering team development process to make code contributions.
• Communicate and collaborate across product, engineering, and GTM/sales teams to define and validate interfaces and data flows between Raptor products and OEM systems.

Requirements

• 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.
• Strong programming skills in C, C++, Python, shell scripting.
• Good understanding of embedded systems, SoCs, and SBCs.
• Hands-on experience with low-level Linux (troubleshooting, configuration, e.g., kernel device drivers, library dependencies).
• Experience in system design across hardware and software.
• Knowledge of networking and communication protocols (e.g., serial, TCP/IP, Wi-Fi).
• Experience in customer-facing roles, support, and solution design.
• Strong communication skills and sound judgment in customer communication.

QualificationsPreferred Qualifications

• Master’s degree in engineering, Computer Vision, Software Engineering or a related technical field.
• Video formats and streaming protocols (e.g., MPEG-TS, MP4, RTSP).
• Experience with multimedia frameworks (e.g., FFmpeg, GStreamer).
• Experience with GIS systems, use cases, and software tools.
• Image processing and computer vision.
• Practical exposure to cameras and optics (e.g., lens models, calibration, distortion).
• Understanding of aerial navigation (e.g., filtering, control theory, 3D spatial math).
• Experience with UAS/UAV hardware and software (e.g., electromechanics, PX4, ArduPilot).
• Experience with embedded Linux / edge compute platforms (e.g., NVIDIA Jetson, Qualcomm-based SoCs, Raspberry Pi).
• Strategic and business-aware mindset.
• Structured and pedagogical mindset.