Embedded Engineer – Counter-UAS Systems
Core
Design, build, and validate the embedded core of drone detection systems using edge compute platforms, combining embedded software, hardware evaluation, and real-world field testing.
Role type
Senior Embedded Engineer (C-UAS/Defense)
Builds
Ruggedized, deployable real-time physical systems for counter-unmanned aerial systems (C-UAS)
Domain
Defense / Autonomous Systems / Edge AI
Deliverable
production ML models
Required skills
Embedded systems development on Linux-based edge hardware, C/C++, Python, Camera interfaces (MIPI CSI, GMSL), Real-time video streaming pipelines, Neural network model deployment on edge hardware (TensorRT, ONNX), Hardware evaluation and bench-testing, Field test campaign execution
Preferred skills
Automotive ADAS systems background, Drone piloting/UAV operations, Defence/aerospace industry experience, Ruggedized hardware standards knowledge
Technologies
NVIDIA Jetson, Xavier, TensorRT, ONNX, MIPI CSI, GMSL
Responsibilities
Bring up ADAS camera modules and sensor interfaces on edge hardware, Build and optimize real-time video processing pipelines, Deploy and update deep learning models on edge devices, Evaluate and bench-test camera modules against performance limits, Execute field test campaigns for drone detection, Collaborate on physical and structural hardware integration
Seniority
Senior, hands-on IC
