Senior Computer Vision / AI Engineer

Stack

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Description

You've probably walked past our lockers on the streets of your city. That's where it starts! But we're building something much bigger: the infrastructure layer for how Europe receives deliveries. We've scaled past €100M in revenue across 9 countries in under four years, with tens of millions of people using our products every month. And we're now one of the fastest growing tech scale-ups in Europe. We are in search of a Senior Computer Vision / AI Engineer to join our innovative team as our new #bloqstar . X team and you'll be helping us getting our hardware to see and understand the physical world of parcels and storage reliably and in real time. Fair warning: we're scaling fast and the data and reporting capabilities are scaling with us. You'll often need to pull from multiple systems and build the picture yourself before you can analyse it. If you need everything pre-structured to do good work, this isn't the role. What you’ll be doing: Design and optimize computer-vision pipelines for real-time detection, tracking, and recognition from video, with latency and robustness front of mind. Port and accelerate the performance-critical code for aarch64, using NEON/SIMD, quantization, threading, and a lot of honest profiling. Build the temporal reasoning that turns noisy per-frame output into something you can trust. Integrate sensor fusion to detect state and events out in the physical environment. Own the benchmarking and ground-truth tooling, because without it there's no real way to know what works. Close the loop with firmware and product, all the way from the sensor to the operational decision. What you’ll bring to the table: Deep experience in computer vision, both the classical side and the applied side. Real OpenCV, image geometry, signal processing. A track record of running CV on the edge or on resource-constrained targets (ARM, embedded, mobile), not only on cloud GPUs. Strong Python, plus C/C+

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