Principal Machine Vision Systems Engineer
| Company | Medtronic |
|---|---|
| Location | Minneapolis, MN, USA |
| Salary | $152800 – $229200 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior, Expert or higher |
Requirements
- Bachelor’s Degree and 7+ years of Engineering experience including Machine Vision Systems OR advanced degree and 5+ years of experience
Responsibilities
- Design and optimize image acquisition manufacturing equipment systems, including camera selection, optic lens selection, lighting, and calibration techniques
- Leverage commercial machine vision technologies such as Cognex, Keyence, Halcon, LMI and/or GigE components, where appropriate
- Collaborate with internal and external resources to integrate machine vision manufacturing equipment systems into manufacturing processes, ensuring seamless operation and compatibility.
- Develop and implement machine vision algorithms and systems for product quality, including image processing, object detection, recognition, and tracking
- Develops and communicates descriptive, diagnostic, predictive and prescriptive insights/algorithms
- Completes programming and implements efficiencies, performs testing and debugging
- Completes documentation and procedures for installation and maintenance
- Conduct feasibility studies, performance evaluations, including validation and verification (FAT/SAT) activities of machine vision manufacturing equipment systems
- Uses statistical techniques evaluate image systems and algorithms to improve product/system performance, quality, data management and accuracy
- Applies deep learning technologies to give computers the capability to visualize, learn and respond to complex situations
- Stay up-to-date with the latest advancements in machine vision technology imaging techniques and apply them to enhance our product quality
- Collaborate with regulatory and quality teams to ensure compliance with relevant standards and regulations governing medical devices
- Provide technical support and troubleshooting expertise for machine vision-related manufacturing equipment issues during the product development lifecycle
- Document and maintain comprehensive design specifications, test protocols, and reports
- Lead your own projects, synthesize requirements, and provide optimal technology solutions with an effective roadmap for the development of vision hardware and analytics applications
Preferred Qualifications
- Advanced degree in Engineering
- Vision and Automation manufacturing equipment system design experience
- Expertise with 2D and 3D hardware components commonly used in machine vision equipment systems, including cameras, lenses, lighting, and frame grabbers
- Solid understanding of machine vision principles and image processing techniques
- Experience in developing and implementing machine vision systems, preferably in the medical device industry
- Strong analytical and problem-solving skills, with the ability to translate complex requirements into practical solutions
- Excellent communication and teamwork abilities, with the capacity to collaborate effectively across multidisciplinary teams
- Experience deploying AI and deep learning algorithms to production
- Experience with regulatory requirements and standards for medical devices
- Attention to detail and a commitment to producing high-quality work
- Ability to work in a dynamic environment and find creative solutions for technology development roadblocks
- Ability to work both individually and collaboratively in teams to achieve project goals
- Strong communication skills, with the ability to explain complex technical issues to both technical and non-technical audiences
- Ability to travel up to 20% depending on project phases