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Manufacturing Project Engineer-AI Vision Inspection

Caterpillar

Manufacturing Project Engineer-AI Vision Inspection

Caterpillar

Wuxi, Jiangsu

·

On-site

·

Full-time

·

4d ago

Career Area:

Manufacturing

Job Description:

Your Work Shapes the World at Caterpillar Inc.

When you join Caterpillar, you're joining a global team who cares not just about the work we do – but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here – we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.

Role Definition

This role will support the advancement of automation projects across Caterpillar’s Asia-Pacific region. The ideal candidate is expected to have solid experience in computer vision applications, including but not limited to visual measurement, defect detection in manufacturing environments, OCR / text recognition for quality control and product traceability, etc.

Key Job Responsibilities

  • Deliver and support AI-based inspection projects in manufacturing environments.
  • Develop and deploy computer vision solutions for defect detection, visual measurement, and OCR applications.
  • Support system integration with automation equipment and quality/traceability systems.
  • Optimize model performance and ensure stable operation in production.
  • Collaborate with manufacturing, quality, and automation teams to drive project success.

Key Requirements

  • Bachelor’s degree or above in Computer Science, Automation, Electrical Engineering, Artificial Intelligence, or a related technical field.
  • 5+ years of relevant experience in AI vision inspection, industrial automation, or manufacturing-related AI projects.
  • Solid understanding of end-to-end industrial vision system architecture, with hands-on experience in camera, lens, and lighting selection and setup.
  • Proficient in image acquisition and calibration processes.
  • Ability to independently deploy end-to-end AI vision inspection solutions, from data collection and model training to system deployment in production environments.
  • Strong Python programming skills, with hands-on experience using mainstream AI / machine learning frameworks.
  • Capable of integrating AI model outputs with downstream systems, enabling deployment within business systems or industrial applications.
  • Demonstrated project management capability, including coordination across functions and delivery against project timelines.

Additional Information:

The position requires the candidate to work a 5-day-a-week schedule in the office.

Posting Dates:

三月 10, 2026 - 三月 24, 2026

Caterpillar is an Equal Opportunity Employer. Qualified applicants of any age are encouraged to apply

Not ready to apply? Join our Talent Community.

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About Caterpillar

Caterpillar

Caterpillar Inc. is an American construction, mining, and other engineering equipment manufacturer. The company is the world's largest manufacturer of construction equipment. In 2018, Caterpillar was ranked number 73 on the Fortune 500 list and number 265 on the Global Fortune 500 list.

10,001+

Employees

Peoria

Headquarters

Reviews

3.5

3 reviews

Work Life Balance

2.5

Compensation

3.0

Culture

2.0

Career

2.0

Management

2.5

25%

Recommend to a Friend

Pros

Strong company brand and reputation

Supportive management willing to fund training

Trusted team member with recognized expertise

Cons

Limited internal advancement opportunities

Company loyalty not rewarded with career growth

Heavy extroverted culture difficult for introverts

Salary Ranges

3 data points

Mid/L4

Principal/L7

Senior/L5

Staff/L6

Mid/L4 · Data Scientist Grade 21

0 reports

$117,078

total / year

Base

-

Stock

-

Bonus

-

$99,517

$134,639

Interview Experience

7 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

43%

Experience

Positive 43%

Neutral 43%

Negative 14%

Interview Process

1

Application Review

2

Online Assessment

3

Technical Interview

4

Final Round Interview

5

Offer

Common Questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience