NexTex AI is building machine-level intelligence for textile manufacturing.
Our platform combines industrial cameras, retrofit sensors, machine data, and AI models to detect textile defects, identify production anomalies, and generate sustainability intelligence across knitting, dyeing, finishing, and quality control operations.
Unlike traditional quality control systems, NexTex AI connects machine behavior, fabric quality, and sustainability performance through a unified industrial AI platform. By combining computer vision, machine signals, production metadata, and process parameters, we help manufacturers reduce fabric waste, rework, water consumption, energy usage, and CO₂ emissions while improving process stability and production quality.
Initial applications include needle-related defects, elastane failures, oil stains, fabric distortions, shade deviations (ΔE), machine start-stop anomalies, and process instabilities in large-scale textile production environments.
NexTex AI is currently preparing its EXIST startup funding application and collaborates with industrial partners including Terrot Textilmaschinen GmbH in Germany, as well as Ribana Tekstil and Nuryıldız Tekstil in Turkey. These partnerships provide direct access to real production environments, industrial machine fleets, textile defect scenarios, and manufacturing datasets.
We are looking for a Founding Computer Vision Engineer to join the core team and help build the AI technology behind NexTex AI from the ground up.
Tasks
Tasks
Design, develop, and deploy computer vision systems for industrial textile inspection
Build object detection, segmentation, classification, and anomaly detection models using real-world manufacturing data
Train, evaluate, and optimize deep learning models using modern computer vision architectures
Develop image acquisition, preprocessing, augmentation, labeling, and validation pipelines
Build and maintain large-scale industrial image and video datasets collected from textile production environments
Develop multimodal AI systems combining visual data, machine events, sensor signals, PLC/SCADA data, and production metadata
Optimize models for edge deployment and real-time inference in industrial environments
Develop model monitoring, validation, and continuous learning workflows
Work directly with real-world manufacturing challenges including needle-related defects, elastane failures, oil stains, fabric distortions, shade deviations (ΔE), and machine-process anomalies
Collaborate with textile engineers and industrial partners to translate manufacturing problems into scalable AI solutions
Contribute to the architecture of NexTex AI’s edge-to-cloud industrial AI platform
Participate in pilot deployments and industrial validation projects with textile manufacturers and machine technology partners
Help define the long-term AI strategy, technical roadmap, dataset strategy, and product architecture of NexTex AI
Requirements
Strong background in Computer Vision, Machine Learning, Artificial Intelligence, or related technical fields
Strong Python skills
Experience with PyTorch or TensorFlow
Experience with OpenCV
Understanding of object detection, image segmentation, anomaly detection, and classification
Experience training and evaluating deep learning models
Familiarity with Linux, Git, and collaborative software development
Strong analytical and problem-solving skills
Ability to work independently and take ownership of technical decisions
Entrepreneurial mindset and willingness to work in an early-stage startup environment
Fluent English
Nice to Have
Experience with YOLO, Detectron2, Vision Transformers, Segment Anything, or anomaly detection frameworks
Experience with CUDA, Docker, Kubernetes, or GPU-based training environments
Experience with MLOps, model deployment, and production-grade ML systems
Experience with edge AI deployment and real-time inference
Experience with industrial AI, robotics, manufacturing, IoT, or automation-related projects
Previous startup experience
Benefits
Benefits
Founding team position from day one
Equity participation of up to 15%, depending on experience, commitment, and long-term involvement
Monthly compensation of approximately €2,500 through the German EXIST Startup Grant program
Full health insurance coverage through the EXIST funding program
Opportunity for increased compensation following successful completion of the EXIST funding phase and company financing milestones