AI Automation Engineering Co-Op
Boost your chances before you apply.
Resonetics
Dayton, OH, US
Summary
The intern will design and develop AI-driven automation tools to optimize manufacturing workflows and build scripts for operational tasks. They will also assist in developing machine learning models and integrate AI solutions with existing systems like ERP and MES.
Job Description
Overview
Resonetics is a global leader in advanced engineering, prototyping, product development, and micro manufacturing, driving innovation in the medical device industry. With rapid expansion across all our locations, we continue to push the boundaries of technology while fostering a dynamic, employee-centered culture. Our commitment to excellence and continuous improvement makes Resonetics an exciting place for professionals passionate about shaping the future of micro-manufacturing and being part of something bigger.
Resonetics is a leader in advanced manufacturing solutions for the medical device and life sciences industries, specializing in precision laser processing, micro-manufacturing, and automation. We are expanding our capabilities by integrating AI-driven automation to enhance efficiency, quality, and scalability.
We are seeking a highly motivated AI Automation Engineering Intern to support the development and implementation of intelligent automation systems across manufacturing and business operations. This role blends software engineering, machine learning, and process automation to solve real-world engineering challenges.
Join Resonetics and be part of a team that’s redefining medical device manufacturing. If you’re passionate about innovation and thrive in a fast-paced environment, we’d love to hear from you.
Responsibilities
- Design and develop AI-driven automation tools to optimize manufacturing workflows
- Build scripts and pipelines to automate repetitive engineering and operational tasks
- Assist in developing machine learning models for predictive maintenance, quality control, or process optimization
- Integrate AI solutions with existing systems (ERP, MES, or internal tools)
- Analyze data from manufacturing systems to identify opportunities for automation
- Collaborate with cross-functional teams including engineering, IT, and operations
- Document processes, code, and system architectures
Required Qualifications
- Currently pursuing a degree in Computer Science, Engineering, Data Science, or related field
- Experience with programming languages such as Python, JavaScript, or C++
- Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch, or scikit-learn)
- Basic understanding of automation tools, APIs, or scripting
- Strong analytical and problem-solving skills
- Interest in manufacturing, robotics, or industrial automation is a plus
Preferred Qualifications
- Experience with computer vision or image processing
- Exposure to cloud platforms (AWS, Azure, or GCP)
- Knowledge of data pipelines, SQL, or data visualization tools
Compensation
The compensation for this role is competitive and will be based on experience and qualifications. The anticipated range is $22.00 to $24.00 per Hour.
For temp, temp-to-hire, and regular full-time positions, our company policy is that we are unable to provide visa sponsorship. Candidates must already be legally authorized to work in the United States without the need for sponsorship now or in the future.
Resonetics is a medical device contract development and manufacturing organization (CDMO) that partners with engineering and R&D teams, from early-stage startups to the world's leading medical device companies, to move precision components from prototype to production-scale manufacturing. With over 35 years of experience in medical device micro-manufacturing, we deliver the speed, innovation, and scale that device developers need to solve complex manufacturing challenges and accelerate time to market.
Core capabilities span laser processing, nitinol manufacturing, metal fabrication, and raw material supply. Our laser platform enables end-to-end laser processing across cutting, drilling, welding, and ablation at tolerances conventional machining cannot achieve. Nitinol processing extends from raw material through shape setting, electropolishing, and finished component assembly. Raw material capabilities include nitinol wire, sheet, and tubing, along with stainless steel thin-wall tube fabrication. Metal fabrication capabilities span centerless grinding, swiss machining, and photochemical machining.
As a vertically integrated CDMO, Resonetics supports programs across neurovascular, electrophysiology, ophthalmology, neuromodulation, structural heart, minimally invasive, and robotic surgery applications, providing a single manufacturing partner from early development through high-volume production.
The Lightspeed Development Lab is built to compress prototype-to-production timelines, enabling faster design iteration and manufacturing-ready submissions.
With 20 manufacturing facilities across the United States, Canada, Costa Rica, Israel, Switzerland, and the Netherlands, Resonetics operates as an integrated global network built to support complex supply chains and scale with customer demand. All facilities are certified to ISO 13485:2016, with lean manufacturing and continuous improvement practices embedded throughout.
Learn more at resonetics.com.
Founded
1987
Company size
1,001-5,000 employees
Industry
Micro manufacturing for life sciences
Org type
Privately Held
Headquarters
Nashua, New Hampshire
Resonetics is a medical device contract development and manufacturing organization (CDMO) that partners with engineering and R&D teams, from early-stage startups to the world's leading medical device companies, to move precision components from prototype to production-scale manufacturing. With over 35 years of experience in medical device micro-manufacturing, we deliver the speed, innovation, and scale that device developers need to solve complex manufacturing challenges and accelerate time to market.
Core capabilities span laser processing, nitinol manufacturing, metal fabrication, and raw material supply. Our laser platform enables end-to-end laser processing across cutting, drilling, welding, and ablation at tolerances conventional machining cannot achieve. Nitinol processing extends from raw material through shape setting, electropolishing, and finished component assembly. Raw material capabilities include nitinol wire, sheet, and tubing, along with stainless steel thin-wall tube fabrication. Metal fabrication capabilities span centerless grinding, swiss machining, and photochemical machining.
As a vertically integrated CDMO, Resonetics supports programs across neurovascular, electrophysiology, ophthalmology, neuromodulation, structural heart, minimally invasive, and robotic surgery applications, providing a single manufacturing partner from early development through high-volume production.
The Lightspeed Development Lab is built to compress prototype-to-production timelines, enabling faster design iteration and manufacturing-ready submissions.
With 20 manufacturing facilities across the United States, Canada, Costa Rica, Israel, Switzerland, and the Netherlands, Resonetics operates as an integrated global network built to support complex supply chains and scale with customer demand. All facilities are certified to ISO 13485:2016, with lean manufacturing and continuous improvement practices embedded throughout.
Learn more at resonetics.com.
Founded
1987
Company size
1,001-5,000 employees
Industry
Micro manufacturing for life sciences
Org type
Privately Held
Headquarters
Nashua, New Hampshire
