
AI Engineering - Software Engineer Internships - Summer 2027 (Masters)
Santa Clara, CAFull-time$58.96/hrSeen 1w agoSeen in employer's feed 5 days ago
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Job overview
The Software Development Engineer Intern will design, build, and maintain software across the application stack, from user-facing interfaces to APIs, data stores, and cloud infrastructure. The role includes end-to-end feature development, system design, testing, code review, CI/CD and operational readiness, and collaboration with product and platform teams. The internship is for 12 weeks in summer 2027 and requires current pursuit of a master’s degree with graduation no earlier than May 2028.
Skills & qualifications
Skills
Qualifications
Benefits
Full job description
It all started when engineer Fred Luddy wrote code that automated a tedious task for his coworker, Phyllis. She cried tears of joy. That moment inspired Fred to build a company that could do that for everyone—freeing people from busywork so they could focus on meaningful work. Today, ServiceNow is the AI control tower for business reinvention. Our ServiceNow AI platform brings together any AI, any data, and any workflow— helping 85% of the Fortune 500® work smarter, faster, and better. We're building an AI-native culture where technology and talent are unstoppable together. And we're just getting started.
Join us to put AI to work for people.
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
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Full Software Development Lifecycle:
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Build features end-to-end—from design through deployment—building front-end (React/Angular/Vue) and back-end (REST/GraphQL, microservices) solutions
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System Design & Architecture
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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
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Code Quality Testing and Review
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Write comprehensive tests, uphold coding standards, and review code—including AI-generated code—for security, performance, and maintainability.
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Develop, maintain, and execute automated test suites to validate software functionality, catch defects early.
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CI/CD, DevOps & Operational Readiness
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Maintain CI/CD pipelines and infrastructure-as-code, monitor systems in production, and participate in incident response including AI-integrated components.
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Cross Functional Collaboration & Technical Communication
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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:
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Currently pursuing a Master’s degree in Computer Science, or related field; with a graduation date no earlier than May 2028
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Must be available to work full-time hours, for a 12- week period, either May – August or June – September in 2027
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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.
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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:
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Systems thinking: Understanding of trade-offs between consistency, availability, and performance, and working knowledge of distributed system patterns and API/database design.
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Working knowledge of software engineering fundamentals: Prior experience writing clean, secure, well-tested code and examples of treating code review as a quality practice.
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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.
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Technical communication: Demonstrated ability totranslate ambiguous requirements into clear technical plans and communicate trade-offs to technical and non-technical stakeholders alike.
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.
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.
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 (https://careers.servicenow.com/life-at-servicenow#workpersonas) . 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.
Equal Opportunity Employer
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, age, disability, gender identity, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
Accommodations
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact [email protected] for assistance.
Export Control Regulations
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
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