**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
Visa sponsorship is not available for this role.
