Process AI Automation, Intern - US-TX-Austin OF, United States
Originally posted 28 September 2026 by the employer.
About the role
This intern role supports the implementation of Smart Visual Inspection within Austin Order Fulfillment and packaging operations. The work focuses on developing and validating a computer-vision-enabled inspection process for packaging and finished-product verification.
What you'll do
- Assist with the development and implementation of Smart Visual Inspection solutions.
- Study current inspection and pack-out processes, identify improvement opportunities, and translate operational requirements into structured inspection workflows.
- Capture, organize, and maintain image datasets under representative operating conditions.
- Train and test computer-vision models for object presence/absence verification, quantity verification, packaging-content validation, label/text recognition, and product position/orientation checks.
- Support the setup and optimization of cameras, fixtures, workstations, backgrounds, and diffuse lighting.
- Develop standard operating procedures, work instructions, training materials, and technical documentation.
What you'll need
- Currently pursuing a bachelor’s or master’s degree in Industrial Engineering, Manufacturing Engineering, Mechanical Engineering, Robotics, Automation, or a related technical discipline.
- 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 work effectively in a hands-on manufacturing or operations environment.
- Proficiency with Microsoft Excel, PowerPoint, and Word.
Nice to have
- Coursework or project experience in computer vision, machine learning, image processing, industrial automation, robotics, manufacturing systems, quality engineering, operations research, Lean manufacturing, Six Sigma, or data analytics.
- Experience using Python, MATLAB, OpenCV, or another analytical or image-processing tool.
- Experience collecting, cleaning, labeling, or analyzing image datasets.
- Familiarity with object detection, optical character recognition, classification, or anomaly-detection concepts.
- Experience with cameras, lighting, sensors, fixtures, or automated inspection equipment.
- Familiarity with process mapping, time studies, root-cause analysis, validation, or statistical analysis.
- Experience creating standard operating procedures, work instructions, test reports, or technical presentations.
Skills: Smart Visual Inspection, AI models, computer vision, inspection recipes, manufacturing environment
This role has been open 12 days — well below the 52-day median for Manufacturing/Industrial Engineering roles.
Manufacturing/Industrial Engineering · Manufacturing Equipment
|
Open roles in category
2432
|
Median days open
52 d
|
Median salary
$100k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | Keysight Technologies | All employers we track in this specialty (2432 roles · 77 employers) |
|---|---|---|
| Open roles in this specialty | 46 | 2432 |
| Open roles in the wider Process, Fab & Equipment family | 115 | 9739 · 108 employers |
| Median days open | 39 d | 52 d (−13 d vs this employer) |
| Median salary (USD postings) | — | $100k |
Skills observed across this category: Smart Visual Inspection, AI models, computer vision, inspection recipes, manufacturing environment
Who's hiring in this category
- Micron Technology · 385 open roles · median 81 d
- Entegris · 244 open roles · median 30 d
- Applied Materials · 231 open roles · median 38 d
- Lam Research · 105 open roles · median 53 d
- Infineon Technologies · 90 open roles · median 51 d
- ASML · 75 open roles · median 70 d
How we counted: 2432 open Manufacturing/Industrial Engineering (Manufacturing Equipment) roles from 77 employers tracked in the SemiconductorJobs index, counted 10 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Process, Fab & Equipment family row. Figures refresh nightly.