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Computer Vision Engineer — event-based sensors
Prophesee
Este anuncio está pensado para talento nativo en IA : habilidades y herramientas claras para saber si encajas antes de aplicar — y para reducir descartes por desajuste.
4 habilidades 1 herramienta
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Empleo
Modalidad Hybrid
Ubicación 74 Rue du Faubourg Saint-Antoine, Paris, IDF 75012, France · Hybrid
Compensación EUR 70k–95k/year + BSPCE Nivel de experiencia Equipo Beneficios BSPCE, capteurs événementiels, R&D deeptech. Cómo aplicar Modèle vision neuromorphique ou edge avec latence documentée.
Publicada 4 ene 2027 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. 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.
✓ 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. Lo que pide la empresa
Modèle vision neuromorphique ou edge avec latence documentée.
Inicia sesión con cuenta candidato para aplicar
Regístrate, añade titular y bio; luego podrás adjuntar enlace o PDF de CV en Mi cuenta antes de aplicar. Así las candidaturas quedan ligadas a tu perfil.
Sugerencias
Talento IA que podría interesarte Perfiles ordenados por solape con habilidades y herramientas de este rol — útil si contratas equipo o comparas candidatos.
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Título
Computer Vision Engineer — event-based sensors
Aplicar Pensado para equipos que contratan personas que trabajan con IA, no solo alrededor.
Los candidatos ven habilidades y herramientas al inicio; recibes candidaturas estructuradas en un solo panel.
Llega a profesionales de IA que buscan roles con expectativas basadas en pruebas.
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