AI Engineering - Software Engineer Internships - Summer 2027 (Masters)

About the role

As a full stack Software Development Engineer Intern, you'll help design, build, and maintain software across the entire application stack from user-facing interfaces to APIs, data stores, and cloud infrastructure. You'll write well-tested, maintainable code, participate actively in code review, and use AI coding assistants to accelerate delivery while critically evaluating AI-generated output for correctness and security. Strong collaboration with product managers, designers, and peer engineers is essential to create resilient, scalable solutions.

What you do

• Full Software Development Lifecycle:
• Build features end-to-end-from design through deployment-building front-end (React/Angular/Vue) and back-end (REST/GraphQL, microservices) solutions
• System Design & Architecture
• Contribute to scalable system design: evaluate architectural trade-offs, define data models and API contracts, and choose the right cloud-native and persistence strategies for your project
• Code Quality Testing and Review
• Write comprehensive tests, uphold coding standards, and review code-including AI-generated code-for security, performance, and maintainability.
• Develop, maintain, and execute automated test suites to validate software functionality, catch defects early.
• CI/CD, DevOps & Operational Readiness
• Maintain CI/CD pipelines and infrastructure-as-code, monitor systems in production, and participate in incident response including AI-integrated components.
• Cross Functional Collaboration & Technical Communication
• Partner with product managers, designers, and platform teams to scope and deliver features, writing clear specs and communicating trade-offs to technical and non-technical audiences.

We hire in multiple locations including but not limited to: Santa Clara, CA, San Diego, CA, Kirkland, WA, West Palm Beach, FL and other geographical areas. Work location will be determined based on team growth strategies.

Minimum Qualifications

• Currently pursuing a Master's degree in Computer Science, or related field; with a graduation date no earlier than May 2028
• Must be available to work full-time hours, for a 12- week period, either May - August or June - September in 2027
• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry.
• Full-stack development skills: Hands on experience through coursework, research, projects, or internships with front-end frameworks (React/Angular/Vue), back-end languages (Node.js, Python, Java, Go), databases, REST/GraphQL APIs, and cloud platforms (AWS/Azure/GCP), plus comfort adopting emerging AI/ML tools.

Preferred Qualifications

• Systems thinking: Understanding of trade-offs between consistency, availability, and performance, and working knowledge of distributed system patterns and API/database design.
• Working knowledge of software engineering fundamentals: Prior experience writing clean, secure, well-tested code and examples of treating code review as a quality practice.
• AI fluency: Effectively incorporates AI coding assistants (Copilot, Cursor, Codeium, etc) and LLM APIs (OpenAI, Anthropic, open-weight models) to build features, and applies sound judgment when reviewing AI-generated code for correctness and security.
• Technical communication: Demonstrated ability to translate ambiguous requirements into clear technical plans and communicate trade-offs to technical and non-technical stakeholders alike.

Additional information

We know great candidates may not meet every preferred qualification. If you're excited about this opportunity and meet the minimum qualifications, we encourage you to apply.

Pay and benefits

For positions in this location, we offer a base pay of $58.96/hour, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location.

We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location.

Additional Information: Work Personas

We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here. To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.