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AI role · Open offer

Computer Vision Engineer — event-based sensors

Prophesee

Permanent (CDI)
Full-time
Senior
Neuromorphic vision
Hybrid
74 Rue du Faubourg Saint-Antoine, Paris, IDF 75012, France · Hybrid
Paris, France
EUR 70k–95k/year + BSPCE

This listing is optimized for AI-native talent: clear skills and tools so candidates know if they fit before they apply—and so you spend less time screening mismatches.

4 skills1 tool

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At a glance

How you'll work, where, and key listing dates.

Employment: Permanent (CDI), Full-time
Workplace: Hybrid
Location: 74 Rue du Faubourg Saint-Antoine, Paris, IDF 75012, France · Hybrid
Compensation: EUR 70k–95k/year + BSPCE
Experience level: Senior
Team: Neuromorphic vision
Benefits & perks: BSPCE, capteurs événementiels, R&D deeptech.
How to apply: Modèle vision neuromorphique ou edge avec latence documentée.
Company site: www.prophesee.ai
Listed: Jul 6, 2026
Updated: Aug 3, 2026

About this role

What the team is looking for and how this position fits.

Prophesee is hiring a Senior Computer Vision Engineer — event-based sensors on the Neuromorphic vision team (Hybrid · Paris, France). This is a hands-on role in computer vision & geospatial AI—not a generic “AI enthusiast” post.

You will own vision, sensor, or geospatial models in production end to end: problem framing, offline evaluation, safe rollout, and iteration from production signals. Success is measured with clear metrics (quality, latency, cost, or business KPIs)—not slide decks alone.

Prophesee invente les capteurs de vision événementielle neuromorphiques pour automobile, industrie et IoT.

Computer Vision Engineer (hybride Paris 12e) : modèles sur flux événementiels, optimisation edge et benchmarks latence/énergie.

À propos de Prophesee

Deeptech française ; partenariats OEM et industriels.
R&D vision neuromorphique entre Paris et Grenoble.
Culture ingénierie C++/Python et déploiement embarqué.

Missions

Entraîner réseaux sur données événementielles synthétiques/réelles.
Quantifier et compiler modèles pour MCU/FPGA cibles.
Documenter jeux de tests régression hardware.

Stack & environnement

Python, PyTorch, C++, ONNX, TensorRT, SDK Prophesee.
Hybride Paris 12e.

Profil recherché

4+ ans computer vision ; edge ML ou sensors apprécié.
Éligibilité travail en France.

Skills we're hiring for

What each capability means for this role—not a keyword checklist.

Python
Production Python for data pipelines, model code, APIs, and automated tests—not notebook-only workflows.
PyTorch
Training and inference with PyTorch: reproducible experiments, checkpointing, and deployment-minded exports.
Computer Vision
Image or video models with clear eval harnesses (precision/recall, calibration, or domain-specific scores).
C++
Practical C++ experience applied to vision, sensor, or geospatial models in production in production or rigorous pilots.

Tools & stack

Platforms and products mentioned for this role (APIs, IDEs, vector DBs, CRMs, design tools, etc.).

DockerTool
Containerized services and reproducible dev environments for ML and LLM workloads.

You're a strong fit if…

Tailored to this listing—use it as a self-check before you apply.

You can show evidence in your application: Modèle vision neuromorphique ou edge avec latence documentée.
Several of these show up in recent shipped work—not only on your CV: Python, PyTorch, Computer Vision, C++, and Docker.
You have owned vision, sensor, or geospatial models in production in production: debugging live issues, running postmortems, and iterating from real user or business signals.
You are comfortable with the hybrid rhythm (Hybrid · Paris, France)—onsite collaboration when it matters, deep work when remote.
You explain trade-offs (quality, cost, latency, safety) in plain language—with numbers or examples, not buzzwords.
You read the full listing (comp: EUR 70k–95k/year + BSPCE, benefits in At a glance) and your expectations align.

Apply

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What the employer asked for

Modèle vision neuromorphique ou edge avec latence documentée.

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Register, add a headline and bio, then you can attach a CV link or PDF on My account before you apply. That keeps applications tied to your profile and makes it easier for employers to review your background.

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Computer Vision Engineer — event-based sensors

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Computer Vision Engineer — event-based sensors

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