R&D Software Engineering Intern

About the Role:

Our R&D software engineers are tasked with designing and developing innovative, breakthrough next-generation medical device software solutions that improve our core and disruptive products which improve the quality of patient lives around the world. The Interventional Oncology and Embolization (IO&E) unit has category leadership in minimally invasive therapies for cancer and vessel trauma, looking to continue to advance ways to support patients. Growth of the division is driven by unmet clinical need, under-diagnosed and under-treated patient populations, and heterogeneity of disease. IO&E offers innovations in embolization and interventional oncology.

Your Responsibilities will include:

• Use your problem-solving abilities to perform meaningful engineering work that pertains to cancer therapies.
• Grow your skillset through a combination of training, hands-on experience, and mentorship.
• Collaborate with a cross-functional team.
• Have opportunities to expand your professional network.
• Get exposure to what it is like working in a Fortune 500 medical device company in a growing division.
• Execute IO&E’s software strategy across the portfolio via enabled software tools.
• Support organic and co-development efforts to drive results.
• Generate recommendations from your work and communicate through presentations to cross-functional leadership.

Required Qualifications:

• Must graduate between Fall 2027 and Spring 2029
• Currently pursuing a bachelors degree in Computer Science, Software Engineering, or AI Engineering
• Must be able to commit to one of the following full internship program periods: May 17th – August 6th OR May 24th – August 13th
• Must be eligible to work in the U.S. without company sponsorship, now or in the future, for employment-based work authorization
• Must have reliable transportation to and from the Maple Grove, MN (Arbor Lakes) Boston Scientific Corporate location
• Must have experience with agile software development frameworks and/or AI technologies

Preferred Qualifications:

• Experience with medical device development and project management tools
• Ability to communicate effectively with diverse cross-functional teams.
• Ability and passion to learn new technologies and explore novel solutions.
• Imaging modality experience including cone beam CT, MRI