Machine Vision & Robotics Engineer - Innovate AI

As a Machine Vision/Robotics Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Valley has 120+ robots and 145+ vision systems, as well as more being installed. Here, you will make an impact by:

• As a Machine Vision/Robotics Engineer, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by:

• Leading in employing emerging technologies including deep learning to enhance the performance and capability of machine vision systems and advance manufacturing profitability

• Consulting with internal business partners and assessing potential applications to identify high-value opportunities for machine vision technology integration

• Providing effective robotic system solutions to a variety of new and existing automated process equipment

• Selecting hardware and providing software to run new process equipment

• Providing support for machine installation and commissioning

Your Skills and Expertise:

To set you up for success in this role from day one, 3M requires (at a minimum) the following qualifications:

• Bachelor’s degree or higher in engineering (completed and verified prior to start) from an accredited institution

• Two (2) years of experience in one or more of the following areas: machine/computer vision, automated inspection, industrial automation, manufacturing technology, robotics, and/or controls systems in a private, public, government or military environment

Additional qualifications that could help you succeed even further in this role include:

• Possess a Bachelor’s degree or higher (completed and verified prior to start) in Electrical Engineering, Computer Engineering or similar major from an accredited institution

• Experience with Fanuc or Keyence or Cognex machine vision platforms

• Experience with automation and/or robotics

• Knowledge in machine learning and data analytics

• Experience with Rockwell/Allen-Bradley systems and hardware

Location:

Valley, NE (On-site)

Travel:
May include up to 10% domestic/international

Relocation Assistance:
May be authorized

Must be legally authorized to work in country of employment without sponsorship for employment visa status (e.g., H1B status).

Supporting Your Well-being

3M offers many programs to help you live your best life – both physically and financially. To ensure competitive pay and benefits, 3M regularly benchmarks with other companies that are comparable in size and scope.

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Applicable to US Applicants Only:

The expected compensation range for this position is $93,033 - $113,708, which includes base pay plus variable incentive pay, if eligible. This range represents a good faith estimate for this position. The specific compensation offered to a candidate may vary based on factors including, but not limited to, the candidate’s relevant knowledge, training, skills, work location, and/or experience. In addition, this position may be eligible for a range of benefits (e.g., Medical, Dental & Vision, Health Savings Accounts, Health Care & Dependent Care Flexible Spending Accounts, Disability Benefits, Life Insurance, Voluntary Benefits, Paid Absences and Retirement Benefits, etc.).

Additional information is available at:

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Responsibilities of this position include that corporate policies, procedures and security standards are complied with while performing assigned duties.

Our approach to flexibility is called Work Your Way, which puts employees first and drives well-being in ways that enable 3M’s business and performance goals. You have flexibility in where and when work gets done. It all depends on where and when you can do your best work.

Pay & Benefits Overview:

3M is an equal opportunity employer. 3M will not discriminate against any applicant for employment on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.

Please note:

your application may not be considered if you do not provide your education and work history, either by:
1) uploading a resume, or
2) entering the information into the application fields directly.