AI Software Development Intern

Diversity
- Innovation
- Caring
- Global Collaboration
- Winning Spirit
- High Performance

At Boston Scientific, we’ll give you the opportunity to harness all that’s within you by working in teams of diverse and high-performing employees, tackling some of the most important health industry challenges. With access to the latest tools, information and training, we’ll help you in advancing your skills and career. Here, you’ll be supported in progressing – whatever your ambitions.

We will consider qualified applicants of all ages who are starting (or restarting) their careers

At Boston Scientific, we value collaboration and synergy. This role follows an on-site work model, requiring employees to be in our local office at least four days per week.

Relocation and housing assistance may be available to those who meet the eligibility criteria.

Boston Scientific will not offer sponsorship or take over sponsorship of an employment VISA for this position at this time

Boston Scientific Cardiac Diagnostics is seeking an AI-Assisted Software Development Intern to join our Software Development team. This internship is for a student who enjoys building software and already has hands‑on experience using AI coding agents such as OpenAI Codex and Claude Code to complete meaningful development work.

You will work alongside software engineers, architects, AI/ML engineers, product teams, and other technical partners. A central focus of the internship is learning how to direct AI agents effectively: translating an engineering objective into clear instructions, supplying the right repository and product context, planning multi-step work, reviewing agent output, and iterating until the result meets defined requirements.

This is not a prompt-only role. You will be expected to understand the code you submit, validate AI-generated changes, and use sound software engineering judgment. You will apply AI as an engineering partner to explore codebases, implement features, automate repetitive work, create and run tests, investigate defects, refactor applications, and improve developer workflows in a real-world healthcare technology environment.

• Use OpenAI Codex, Claude Code, Git Hub Copilot, and similar tools to support day-to-day software development.
• Direct coding agents through multi-step assignments by defining the objective, constraints, acceptance criteria, available tools, and expected deliverables.
• Work with engineers to identify opportunities where AI-assisted development can improve productivity, quality, and deliverables time.
• Break ambiguous or complex problems into smaller tasks, guide the agent through implementation, and adjust the approach when results do not meet expectations.
• Use agents to navigate unfamiliar codebases, implement features, investigate defects, refactor code, generate documentation, and automate repetitive engineering work.
• Review AI-generated code for correctness, maintainability, security, performance, testability, and alignment with team standards.
• Develop automated unit, integration, or system tests that demonstrate the requested behavior and protect against regression.
• Document successful prompts, patterns, guardrails, and workflows so they can be reused by other engineers.
• Measure and communicate outcomes such as time saved, cycle-time improvement, code quality, test coverage, and reduction of repetitive work.
• Participate in code reviews, technical discussions, sprint planning, demonstrations, and other Agile development activities.

• Currently pursuing a bachelor’s or master’s degree in Computer Science, Software Engineering, or Computer Engineering
• Must graduate between Fall 2027 and Spring 2028
• Must be able to commit to one of the…