This is where you save and sustain lives At Baxter, we are deeply connected by our mission. No matter your role at Baxter, your work makes a positive impact on people around the world. You’ll feel a sense of purpose throughout the organization, as we know our work improves outcomes for millions of patients. Baxter’s products and therapies are found in almost every hospital worldwide, in clinics and in the home. For over 85 years, we have pioneered significant medical innovations that transform healthcare. Together, we create a place where we are happy, successful and inspire each other. This is where you can do your best work. Join us at the intersection of saving and sustaining lives— where your purpose accelerates our mission. Your role at Baxter

This is where your expertise helps people Baxter is on a mission to modernize our global manufacturing locations through the implementation of advanced automation and Industry 4.0 tools. These tools are designed to improve our operations’ productivity goals and enable manufacturing sites to be smarter and leaner. Our team is seeking a Senior Computer Vision Engineer to develop and implement advanced machine vision solutions for pharmaceutical and medical device manufacturing. The ideal candidate will be responsible for designing, deploying, and optimizing computer vision systems for quality control, defect detection, and regulatory compliance in highly regulated environments. This role requires expertise in image processing, deep learning, and real-time computer vision applications, with experience integrating vision systems into pharmaceutical and medical device automation processes. Your team

Advanced Engineering & Digital Transformation is a team of inquisitive individuals who embrace a collaborative environment to tackle sophisticated challenges that meet the needs of our patients. We often need to change directions and respond to issues to avoid disruptions in our fast-paced manufacturing environment. Together, we build and maintain a positive work environment. When you join us, you will work with a team of committed individuals who trust each other to deliver on the tasks at hand. We support innovation and out-of-the-box thinking balanced with collaboration across functions and other teams. Our leadership understands the need for continuous education and provides opportunities for further development. What you'll be doing

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. Identify equipment/automation issues and recommend/implement improvements to Digital Transformation products and technologies. Support training workshops with regional and site manufacturing engineers on Digital Transformation 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. In this position you will learn to effectively use the command line in Linux (i.e., terminal) to provision hardware, interact with various command lines tools (e.g., Docker, AWS CLI, etc.), collect diagnostic information, and perform troubleshooting. Work with CoaXPress, GigE, and USB3 Vision cameras, optics, and lighting to optimize vision system image quality on the manufacturing floor, including in cleanroom environments. Provision AI Vision system PCs with all the required software, configure for use, and troubleshoot and debug hardware and software issues that may arise during commissioning and after validation. Work with Global and Local Quality teams to validate vision system systems for use in production. Support up to 30% business travel to global manufacturing locations. Collaborate with quality assurance, regulatory affairs, automation engineers, and production teams to enhance vision system performance, manufacturing efficiency, and compliance. Serve as a subject matter expert on some combination of industrial computer vision technologies including: Cameras/Sensors, Lighting, and Lensing and optics. Full stack web applications for the orchestration layer of the vision system application AWS cloud services such as S3, EC2, ECR, OpenSearch, and SageMaker for cloud-based application hosting, storage, search capabilities, and AI/ML integration. Python programming, including using libraries such as OpenCV, TensorFlow, PyTorch, and Halcon for image processing, algorithm and AI model development Programmable logic controllers (PLCs) (e.g., Allen-Bradley & Siemens) Stay up to date with emerging technologies in AI-based defect detection, hyperspectral imaging, and 3D vision for pharmaceutical and medical device What you'll bring

3+ years of experience in a manufacturing environment. Bachelor’s degree in engineering, computer science, or related technical field. Advanced computer literacy/proficiency is required – members of this team go well beyond basic word processing and generalized PC use. An ideal candidate will be able to successfully demonstrate a passion for learning software, coding, and related IT skills. 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. Experience with computer vision hardware (i.e., industrial cameras, lenses, optics, and lighting). Experience engaging and effectively managing outside contractors, vendors, suppliers, etc. 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. Possess a working knowledge of manufacturing and operations processes Ability to organize and present technical information and project plans with minimal assistance. Ability to execute plans while effectively managing risks and opportunities. Proficient English written and oral communication skills. Healthcare or other regulated industry experience in a manufacturing setting is strongly preferred. 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. Baxter is committed to supporting the needs for flexibility in the workplace. We do so through our flexible workplace policy which includes a required minimum number of days a week onsite. This policy provides the benefits of connecting and collaborating in-person in support of our Mission. The flexible workplace policy is subject to local laws and legal requirements. At its discretion, Baxter may decide to adjust, suspend, or discontinue as business needs change. #LI-RS US Benefits at Baxter (except for Puerto Rico)