Über
Development of new digital technology solutions such as vision inspection systems, AI and M/L analysis of machine/sensor data. Analyse user/customer needs along with manufacturing problems and align them with product/technology opportunities. Contribute to and execution of IoT strategy and roadmap for selected areas. Monitor developments of new technologies for IoT potential in future projects Support analytical processes, like machine learning in use within proof-of-technology concepts to deployed IoT projects.Help execute real-world evaluation via vehicle/HIL/virtual testing and identify system problems/issues. Support and coordinate root-cause analysis with internal functions and external suppliers to ensure delivered system achieves feature requirements. What you'll need to be successful:
Essential:
Bachelor's degree in engineering or engineering-related areas: electrical, controls, systems, computer science, data science or equivalent experience Minimum Experience: 2+ years' experience in manufacturing equipment controls, network design, embedded systems, machine learning and/or data engineering with a focus on the automotive industry Understanding, extraction and interpretation of parameter data in a machine that represents the health of the machine components, proper operation, and effects on product quality. Knowledge of manufacturing equipment controls and logic - preferably in at least one of Mitsubishi, Rockwell, Siemens, or Omron PLCs. Understanding of computer vision algorithms such as segmentation, morphology, pose estimation, camera calibration, image enhancement, feature extraction, classification, 3D Vision and deep learning techniques. Experience implementing vision algorithms in C++, Python, HALCON, Matrox, Cognex, and/or Keyence, using traditional rules and/or deep learning. Experience with vibration, audio, or current signature analysis What you'll get:
Full benefits: medical, dental, vision, HSA and FSA 401K with a match and immediate vesting Short-term & Long-term disability, life insurance and other optional benefits Employee Assistance Program Employee Discounts Ongoing professional development opportunities including Technical Training and Leadership Development The opportunity to work on industry leading projects
Sprachkenntnisse
- English
Hinweis für Nutzer
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