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Research Engineer
Category: Other
  • Your pay will be discussed at your interview

Job code: lhw-e0-90662112

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The Raymond Corporation

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  Job posted:   Thu Jun 7, 2018
  Distance to work:   ? miles
  10 Views, 0 Applications  
Research Engineer
This opening in the Advanced Research group offers a unique opportunity to engage in projects that are shaping the future of material handling. We are looking for a Research Engineer who can apply his/her knowledge and skills in support of a wide variety of foundation and solution services projects that center on automation and robotics. Particular skill sets we are interested in include familiarity with ROS, computer vision, machine learning, and control systems. The ideal candidate will be a technology advocate who can identify how robotics can be applied in our industry in ways that bring value to both internal and external stakeholders. He/she will be responsible for executing this vision through proof-of-concept development to satisfy requirements.

Depending on experience level, responsibilities may include:

* Leading the discovery of automation/robotics technologies that complement our core product and services
* Designing and executing experiments
* Installing sensors and data acquisition equipment
* Interpreting data and developing control systems or training algorithms to demonstrate functional proofs-of-concept
* Coordinating with external or internal technical resources to ensure objectives are being met
Must have the ability to plan, organize, and carry out technical activities, as well as communicate effectively, both orally and in writing. Must be able to present technical material to technically diverse audiences.
Experience with programming languages and basic electronics is helpful, as is knowledge of vehicle communication buses (Ethernet, CAN, and RS-232) and their protocols. Familiarity with some of these tools is a plus: ROS, Linux, MATLAB/Simulink, LabVIEW, dSPACE.
We are looking for someone who is:

* Self-motivated - demonstrated ability to work independently and in teams toward near-term and long-term objectives
* Systems focused - proven interdisciplinary experience
* Inquisitive - mindset to ask the right questions and to design and execute scientific experiments to prove his/her hypothesis
* Data-driven - ability to interpret data and arrive at actionable insights
* A fast learner - demonstrated command of solid research fundamentals and the ability to quickly grasp new technical areas
* A team player - strong interpersonal skills, professional communication skills, experience with building relationships and facilitating active collaboration
* Flexible, adaptable, and eager to deliver timely results despite unanticipated challenges

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