Develop computer vision and deep learning algorithms for visual inspection (defect detection, classification, quality validation) and vision-based navigation (localization, visual servoing, pose estimation)
Design data capture strategies, apply augmentation techniques, and train/fine-tune models for inspection and navigation tasks
Build and maintain data pipelines and MLOps workflows for training, evaluation, model versioning, and production monitoring
Collaborate with Mechanical engineers to design illumination setups and optimize imaging configurations
Support model inference optimization for GPU deployment using CUDA, TensorRT, and related frameworks
Harden perception solutions for production reliability and work with field teams on deployment and customer rollouts

Requirements

BS or MS in Computer Science, Electrical Engineering, Optics, or a related field with 1–3 years in computer vision/ML
Strong Python skills with experience in PyTorch or similar frameworks
Familiarity with image acquisition, camera systems, and sensor integration
Solid understanding of imaging systems (cameras, sensors, optics, lighting)
Familiarity with 3D geometry, pose estimation, and basic electronics for vision systems

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

computer visiondeep learningdefect detectionclassificationquality validationlocalizationvisual servoingpose estimationPythonPyTorch