Senior Computer Vision & AI Engineer (Edge/Real-Time)

Bloq.it

Porto

Híbrido

EUR 90 000 - 130 000

Tempo integral

14 dias+
Gerador de candidaturas

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Vantagens oferecidas por esta oferta de emprego

Remote-friendly policy
Flexible hours
Portuguese Health Insurance
Wellness membership
Unlimited days off

Resumo da oferta

Bloq.it is seeking a Senior Computer Vision / AI Engineer to join the Bloq.X team and help our hardware perceive the physical world of parcels in real time. You will design and optimize CV pipelines for real-time detection, tracking and recognition from video, with a focus on latency and robustness.

You’ll port performance-critical code for aarch64, using NEON/SIMD, quantization, threading, and profiling, and you’ll own benchmarking, sensor fusion, and end-to-end integration from sensor to

Qualificações

  • Deep experience in computer vision, both classical and applied, including OpenCV and image geometry.
  • Track record running CV on edge/embedded targets (ARM, embedded, mobile) not just cloud GPUs.
  • Strong Python, plus C/C++ for performance-critical paths.
  • Comfort with real-time video: pipelines, synchronization, tracking, temporal reasoning.
  • A first-principles approach with a habit of measuring impact.

Responsabilidades

  • Design and optimize computer-vision pipelines for real-time detection, tracking, and recognition from video.
  • Port and accelerate performance-critical code for aarch64 with NEON/SIMD, threading, and profiling.
  • Build temporal reasoning to stabilize noisy per-frame outputs.
  • Integrate sensor fusion to detect state/events in the physical environment.
  • Own benchmarking and ground-truth tooling to assess effectiveness.
  • Close the loop with firmware and product from sensor to decision.

Conhecimentos

Deep CV experience
Edge/embedded CV
Python
C/C++ performance
Real-time video

Ferramentas

OpenCV
NEON/SIMD

Descrição da oferta de emprego

Bloq.it is seeking a Senior Computer Vision / AI Engineer to join the Bloq.X team and help our hardware perceive the physical world of parcels in real time. You will design and optimize CV pipelines for real-time detection, tracking and recognition from video, with a focus on latency and robustness.

You’ll port performance-critical code for aarch64, using NEON/SIMD, quantization, threading, and profiling, and you’ll own benchmarking, sensor fusion, and end-to-end integration from sensor to

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