AI Vision & Manufacturing Automation Intern

Anite; Austin (TX); On-site; USD 28,000 - 41,000; Part time

Job summary

Keysight is seeking an engineering intern to support the implementation of Smart Visual Inspection within our Austin Order Fulfillment and packaging operations. You will work with engineering, operations, quality, and production teams to develop and validate a computer-vision-enabled inspection process for packaging and finished-product verification.

The internship will provide hands-on experience with smart manufacturing, computer vision, machine learning, manufacturing process improvement,

Qualifications

• Basic understanding of manufacturing, engineering, quality, automation, computer vision, or data-analysis concepts.
• Strong analytical and structured problem-solving skills.
• Ability to collect, organize, analyze, and clearly present technical data.
• Ability to follow defined test methods and accurately document results.
• Ability to work effectively in a hands-on manufacturing or operations environment.
• Strong written and verbal communication skills.
• Ability to collaborate with engineers, operators, quality personnel, and other cross-functional stakeholders.

Responsibilities

• Assist with the development and implementation of Smart Visual Inspection solutions for Order Fulfillment, packaging, and finished-product inspection.
• Study current inspection and pack-out processes, identify improvement opportunities, and translate operational requirements into structured inspection workflows.
• Work with engineers and production personnel to identify representative products and packaging configurations for proof-of-concept testing.
• Capture, organize, and maintain image datasets under representative operating conditions.
• Label and annotate images used for computer-vision model training.
• Safely move, position, and prepare product cartons and packaging materials while capturing images from multiple angles for model development and validation.
• Develop and maintain digital inspection procedures and inspection recipes.
• Train and test computer-vision models for applications such as: Object presence/absence, Quantity verification, Packaging-content validation, Label/text recognition, Product-position/orientation checks, Region-based classification.
• Evaluate model performance and help adjust confidence thresholds to balance false accepts and false rejects.
• Conduct controlled tests using representative products, packaging materials, accessories, labels, and configurations.
• Support the setup and optimization of cameras, fixtures, workstations, backgrounds, and diffuse lighting.
• Evaluate how camera position, lighting, glare, shadows, object placement, and image quality affect inspection reliability.
• Record test results, model performance, inspection exceptions, process times, and identified improvement opportunities.
• Assist with root-cause analysis and troubleshooting when an inspection process produces inconsistent or unexpected results.
• Develop standard operating procedures, work instructions, training materials, and technical documentation.
• Support operator training and collect feedback during pilot deployment.
• Collaborate with cross-functional teams to incorporate operational feedback and improve the inspection process.
• Help establish a repeatable process for maintaining inspection procedures, trained models, configuration files, and revision history.
• Present project status, technical findings, validation results, and final recommendations to engineering and operations stakeholders.

Skills

Analytical skills

Data analysis

Communication skills

Team collaboration

Education

Bachelor's or master's degree in Industrial Eng / Manufacturing Eng / Mechanical Eng / Robotics/Automation

Tools

Python

MATLAB

OpenCV

Job description

Keysight is seeking an engineering intern to support the implementation of Smart Visual Inspection within our Austin Order Fulfillment and packaging operations. You will work with engineering, operations, quality, and production teams to develop and validate a computer-vision-enabled inspection process for packaging and finished-product verification.

The internship will provide hands-on experience with smart manufacturing, computer vision, machine learning, manufacturing process improvement,