Vision System Engineer

CHEP; Orlando (FL); Remote; USD 72,000 - 107,000; Full time

Job summary

An innovative firm seeks a skilled technical engineer to support machine vision and machine learning systems. This remote role involves troubleshooting and maintaining automated inspection systems while collaborating with teams to enhance operational performance. With 50% travel required, the ideal candidate will have a strong technical background in machine vision technologies and a knack for problem-solving. Join a forward-thinking organization that values continuous improvement and offers a competitive salary range. If you're passionate about technology and eager to make a difference, this opportunity is perfect for you.

Qualifications

• Experience with machine vision and machine learning systems is essential.
• Strong problem-solving skills and ability to work under pressure.

Responsibilities

• Provide maintenance and troubleshooting for automated vision inspection systems.
• Support quality performance and capability improvement programs.

Skills

Technical Support

Problem Solving

Teamwork

Machine Vision Technologies

Rockwell PLC Concepts

Spanish

Education

Technical Engineer

Computer/Software/Electrical Engineer

Tools

3D Laser Profiling

2D/3D Cameras

Lighting Techniques

Job description

This resource will remotely and field support technical problem solving and support activities to achieve quick resolutions to performance and efficiency challenges with the automated machine vision / machine learning systems. This resource will also assist deployment and support future projects associated with implementing machine vision and machine learning inspection systems in the CHEP Americas Region.

This is a remote role with 50% travel. Candidates must be located near a major US airport.

Key Responsibilities May Include:

• Provide continuous maintenance and troubleshooting support to service centers to ensure sustained automated vision inspection system performance
• Support vision inspection system quality performance and capability improvement programs
• Monitor and support automated inspection system performance, consistency and predictability
• Support automated machine vision and learning system integration for new development projects
• Work with wider teams to improve regional operations performance to achieve shared targets
• Work with wider teams to deploy and sustain defined best practices and continuous lessons learned

Qualifications and Experience

• Technical Engineer
• Desirable: Computer/Software/Electrical Engineer
• Functional know-how is critical to this position.
• Machine Vision systems knowledge and technical understanding with cameras, lasers and other lighting techniques.

Skills and Knowledge

• Technical understanding of machine vision technologies such as 3D laser profiling, stereoscopic systems, 2D/3D cameras, lighting techniques, ToF pattern projection, inspection program design, etc.
• Technical Support experience with machine vision / machine learning systems
• Technical Training experience with machine vision / machine learning systems
• Problem solving skills and working under pressure
• Self-starter / ability to operate without much supervision
• Teamwork
• Rockwell PLC concepts understanding
• Ability to work in a Matrix Organization
• Spanish

Base Salary Range is $72,000- 107,000 annually

Salary ranges provided take into account a wide variety of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications, geographic differentials and other business and organizational needs. Therefore, actual amounts offered may be higher or lower than the range provided. If you have questions, please speak to your Talent Acquisition Partner about the flexibility and detail of our compensation philosophy.

Dependent on the position offered, other forms of compensation may be part of a total offering beyond medical & retirement benefits and may include other monetary incentives or business benefits.

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Engineering, Information Technology, and Customer Service

Industries

Transportation, Logistics, Supply Chain and Storage