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Alpine Eagle Tech Stack
Counter-UAS platform using ML and embedded systems for autonomous drone detection
Alpine Eagle builds counter-UAS (C-UAS) software using machine learning and embedded systems to detect and classify autonomous drones. The tech stack—C++, FPGA, ROS 2, TensorFlow, PyTorch, YOLO—reveals a hardware-in-the-loop organization bridging ML model development with real-time embedded execution on constraint-limited platforms. Engineering dominates hiring (22 of 29 roles), with active flight-test campaigns and SITL simulations indicating a hardware-validation-heavy development cycle typical of defense-adjacent hardware products.
Tech Stack 36 technologies
Core StackC++ Python TensorFlow PyTorch FreeRTOS Embedded Linux Yocto ROS 2 gdb Xilinx Zynq FPGA UART CAN Ethernet I2C AXI ROS PX4 Ardupilot FMEA YOLO Faster R-CNN SSD Arduino Raspberry Pi Microsoft Office ARM Neon CUDA Gazebo+6 more
What Alpine Eagle Is Building
◆Challenges
- Solutions not keeping pace
- Current solutions falling behind
- Protecting against rising drone threat
- Counter-drone solutions lagging
- Scalable uav operations
- Audit readiness
- Supplier quality management
- Defence and aerospace compliance
- Defences not keeping pace
- Rising threats
▲Active Projects
- High-fidelity sitl simulations
- Real-time object detection and classification
- Real-time object tracking
- Visual slam for outdoor navigation
- Uav flight testing for counter-uas systems
- Distributed sensor system embedded software
- Flight test campaigns
- Sensor fusion integration
- Quality management system implementation
- Supplier quality audits
Hiring Activity
30 roles · 20 in 30d
Department
Seniority
Company intelligence
