Baxter is looking to modernize its global manufacturing locations through the implementation of advanced automation and Industry 4.0 tools to improve operations' productivity goals and enable manufacturing sites to be smarter and leaner.
Requirements
- Experience with computer vision hardware (i.e., industrial cameras, lenses, optics, and lighting).
- Strong troubleshooting and debugging skills for both software and hardware in machine vision applications.
- Expertise in industrial vision system hardware and industrial controllers.
- Experience in integrating machine vision systems with external systems (e.g., SCADA & MES systems, cloud endpoints (e.g., AWS S3), and PLCs (e.g., Allen Bradley and Siemens).
- Familiarity with deep learning models (CNNs, transformers) for defect classification and anomaly detection.
- Experience selecting edge computing hardware, assembling components, and provisioning hardware with a Linux OS, installing drivers and software from a command line interface.
- Serve as a subject matter expert on some combination of industrial computer vision technologies including: Cameras/Sensors, Lighting, Lensing and optics, Programmable logic controllers (PLCs) (e.g., Allen-Bradley & Siemens)
Responsibilities
- As a product owner, partner with a team of cross-functional technical experts (e.g., software, machine learning, computer vision, mechanical and controls engineers, network administrators, and cloud computing architects) to develop and implement AI-based computer vision systems for complex industrial automation use cases.
- Support cross-functional teams at a Global scale to deploy advanced technologies at our manufacturing facilities.
- Effectively manage project deliverables and commitments.
- Proactively identify equipment/automation issues and implement improvements to improve system reliability, performance, and user experience.
- Support training workshops with regional and site manufacturing engineers on AE&I technologies with the goals of helping participants understand the intricacies of the technology and how to implement and sustain it themselves.
- Generate technical documentation in support of project deliverables and requirements, such as protocols, reports, user requirements specifications (URS), design specifications, validation test cases, manuals, work instructions, etc.
- Work with CoaXPress, GigE, and USB3 Vision industrial cameras, lenses, optics, and lighting to optimize vision system image quality on the manufacturing floor, including in cleanroom environments.
Other
- 3+ years of experience in a manufacturing environment.
- Business Travel:Support projects across Baxter’s Global manufacturing network. Sites and extended team members are distributed across different regions (UCAN, LATAM, EMEA, and APAC). Travel is often required for project scoping, system installation & commissioning, training local resources, etc.
- Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment visa at this time.
- Ability to organize and present technical information and project plans with minimal assistance.
- Ability to execute plans while effectively managing risks and opportunities.
