**Company** Arlo Industries is building the sensing infrastructure layer for the drone age. \ We build distributed passive optical sensing systems for tracking drones and missiles. \ Our systems combine edge AI, optics, and distributed networking to create persistent aerial awareness without relying on traditional emitting radars.\ We are a YC-backed defence tech startup operating across the US, Europe, and Ukraine. **Role** You will own core parts of the perception stack: from raw sensor data to real-time detection, classification, tracking, and spatial fusion across distributed sensor nodes.\ This is not a research-only role.
You will ship systems that operate in real-world environments. **What you will work on** * Build and optimise CV/AI pipelines on edge hardware (NVIDIA Jetson, ARM SBCs) * Develop real-time multi-camera tracking and sensor fusion systems * Work on spatial fusion across distributed sensing nodes * Improve performance under noisy, degraded, and adversarial conditions * Optimise inference pipelines using CUDA/TensorRT * Participate in field testing and rapid hardware iteration **You are a strong fit if you** * Have shipped real-time CV/ML systems on constrained hardware * Have experience with EO/IR/multispectral sensor systems * Understand sensor fusion, tracking, or 3D spatial reasoning * Are comfortable operating in ambiguous, fast-moving environments * Want to work on real-world defence systems **Bonus** * Robotics, UAV, ISR, or defence background * Passive sensing or distributed sensor network experience * Familiarity with RF/comms systems or embedded networking **Compensation** * San Francisco, CA: $150k–250k USD * Troy, NY: $140k–200k USD * Helsinki: €85k–140k EUR * Kyiv: $45k–90k USD
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Track drones and missiles without radars - Accurate, Passive, Scalable