Senior Computer Vision & Edge AI Engineer

Descripción de la empresa INETUM

*Somos un Consultora digital, internacional y ágil. En la era de la post\-transformación digital, nos esforzamos para que cada uno de nuestros 28\.000 profesionales pueda renovarse continuamente.*

*Cada uno de ellos puede diseñar su itinerario profesional de acuerdo a sus preferencias, emprender junto a sus clientes para construir en la práctica un mundo más positivo, innovar en cada uno de los 27 países y conciliar su carrera profesional con su bienestar personal.*

*Nuestros 28\.000 atletas digitales están orgullosos de haberse certificado Top Employer Europe 2024*

Descripción del empleo

Senior engineer with full, end\-to\-end technical ownership of the vision core of an industrial visual inspection product built on the NVIDIA platform. Combines deep expertise in unsupervised anomaly detection and defect segmentation with production\-grade GPU inference optimization and complete model lifecycle management. Also able to design and lead the evolution of the pipeline orchestration toward a high\-performance native C\+\+ core, delivering real\-time decisions on the factory floor.

Requisitos Deep Learning \& Computer Vision

• Expert\-level PyTorch: CNN / transformer vision architectures, training, evaluation and rigorous ONNX export (zero train/serve skew).


• One\-class / unsupervised anomaly detection: PatchCore, EfficientAD, PaDiM, student–teacher, normalizing flows, and their real failure modes (reference\-set contamination, threshold calibration with few or no defective samples, synthetic defects via cut\-paste / DRAEM, over\-rejection, drift).


• Supervised defect segmentation and detection (encoder–decoder, DETR\-family): training, acceptance criteria and imbalanced datasets.


• Methodological rigor: AUROC / AUPRO alongside plant\-level metrics (escape rate, false\-reject rate) and regression validation against recorded data.

• Expert\-level modern C\+\+ (C\+\+17/20\) for real\-time vision pipelines, in addition to expert Python.


• High\-performance systems design: native pipeline/orchestrator coordinating capture, pre\-processing, inference and post\-processing while keeping data in memory and avoiding unnecessary copies and hops.


• Hard latency budgets: determinism, watchdogs and graceful degradation.


• Linux, Docker, Git and CI as the natural working environment.

• Solid CUDA: execution model, streams, CUDA Graphs, memory management (pinned, unified, pre\-allocation), writing and debugging custom kernels.


• GPU libraries: cuBLAS, NPP, CV\-CUDA, Thrust or equivalents for accelerated image pre\-processing and scoring.


• TensorRT in production: engine building, mixed FP16 / INT8 precision with custom quantization calibration, precision\-degradation diagnosis and dynamic batching.


• Triton Inference Server in production.


• Profiling with Nsight Systems / Nsight Compute; p99 latency characterization per stage and finding the real bottleneck before optimizing.

• Model versioning and registry (MLflow or equivalent), reproducibility and dataset curation (CVAT).


• Traceability: able to demonstrate which model, data and version produced a given result.


• Models in production: monitoring, drift detection and a retraining / rollback policy.

• Custom TensorRT plugins.


• Industrial cameras — GigE Vision (ideally Basler pylon); optics, lighting and photometric calibration (flat\-field).


• Anomalib (advanced use or upstream contributions).


• Manufacturing / quality context (automotive or another regulated industry); ISA\-95 and IEC 62443\.


• Public cloud and cloud MLOps (ideally Azure: IoT Edge, ML).


• Publications, talks or open source in vision / anomaly detection.

• Formarás parte de un gran equipo de profesionales con inquietud y motivación por el desarrollo y la programación y participaras en nuevos y punteros proyectos para la compañia.


• Trabajarás a jornada completa con un horario flexible bajo un modelo de trabajo 100% remoto.


• 22 días de vacaciones \+ 2 de asuntos propios.


• Formación por parte de la empresa para que puedas seguir desarrollándote y promocionar dentro del plan de carrera que existe para ti.


• Podrás asistir a eventos y conferencias relevantes del sector.


• Contrato indefinido.


• Estabilidad y buen clima laboral.


• Salario Competitivo.


• Acceso a ventajas del grupo de empresa


• Retribución flexible y más beneficios

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