Senior Robot Perception Engineer Visual Inspection MLOps

You will develop, optimize, and deploy visual-inspection algorithms and deep-learning models for production automation. You will build training and evaluation data pipelines, optimize GPU inference, establish MLOps practices, monitor deployed models, design inspection metrics, and support customer rollouts.

Responsibilities

• Develop and optimize visual-inspection algorithms for defect detection, anomaly detection, classification, and quality validation
• Optimize model inference for GPU deployment using CUDA and TensorRT
• Collaborate on illumination setups for inspection accuracy and robustness
• Build and maintain data pipelines for model training, evaluation, and improvement
• Establish MLOps practices for model versioning, experiment tracking, retraining, and monitoring
• Harden inspection solutions through monitoring, alerting, and graceful degradation
• Deploy inspection solutions and support customer rollouts
• Define metrics and benchmarks for inspection accuracy, throughput, and reliability

Requirements

• MS or PhD in Computer Science, Electrical Engineering, or a related field, or equivalent experience
• 5+ years of computer vision or machine learning experience
• Python programming skills
• PyTorch experience
• Experience optimizing ML models for production GPU inference
• Experience shipping ML or computer-vision models to production
• Experience with image acquisition, camera systems, and sensor integration