Perception Engineer (Edge CV/AI)

Arlo Industries is building next-generation aerial sensing systems for counter-UAS and ISR, designed to outperform traditional radar at a fraction of the cost using distributed, passive optical sensing networks.

Backed by Y Combinator and defence-focused angels, the company is actively working with partners across US and Europe to secure airspaces for critical infrastructure and defence applications.

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

We work on hard problems at the intersection of computational imaging, distributed systems, and ruggedised hardware. The constraints are adversarial: no reliable infrastructure, contested spectrum (jamming), and SnR limits.

• Intro call
• Technical screen: CV/perception problem
• Systems design conversation: how you would architect a multi-node fusion layer
• Reference check + offer