AI Engineering - Assoc Software Engineer Internships - Summer 2027 (Bachelors)

ServiceNow
Santa Clara, CA, United States
11 days ago
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Role details

Contract type
Internship / Graduate position
Employment type
Full-time (> 32 hours)
Compensation
$115,565.0
Working hours
Shift work

Tech stack

Clean Code Principles Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Automation of Tests Microsoft Azure Cloud Computing Cloud Engineering Code Generation Code Review Databases
+29 more
Continuous Integration Data Stores Cursor DevOps Distributed Systems Python (Programming Language) Node.Js Software Architecture OpenAI Microsoft Copilot Software Engineering Application Enhancement Tool ReactJS Large Language Models AI Coding Agents Backend Vue.js AngularJS Code Testing Graphql Machine Learning Operations Front End Software Development Api Design Software Coding Api Management Servicenow Golang Programming Languages Microservices

Job description

As a full stack Associate Software Development Engineer Intern, you’ll partner with senior level engineers to help design, build, and maintain software across the application stack from user-facing interfaces to APIs, data stores, and cloud infrastructure. You’ll write well-tested, maintainable code, take part in code reviews, and use AI coding assistants to accelerate delivery while critically evaluating AI-generated output for correctness and security. You’ll also collaborate with product managers, designers, and peer engineers is essential to create resilient, scalable solutions., + Build features end-to-end, with guidance from your team, from design through deployment-across front-end (React/Angular/Vue) and back-end (REST/GraphQL, microservices) solutions

  • System Design & Architecture
  • Contribute to system design discussions: learn how the team evaluates architectural trade-offs and help define data models, API contracts, and cloud-native and persistence approaches for your project
  • Code Quality Testing and Review
  • Write comprehensive tests, follow 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
  • Use and help maintain CI/CD pipelines and infrastructure- as-code, learn to monitor systems in production, and support incident response, including for AI-integrated components
  • Cross Functional Collaboration & Technical Communication
  • Partner with product managers, designers, and platform teams to scope and deliver features, document your work clearly, and explain trade-offs to technical and non-technical audiences., 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.

Requirements

  • Currently pursuing a Bachelor’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: Exposure through coursework, personal projects, internships, or hackathons to 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:

  • Foundational systems thinking: Exposure to software architecture concepts, API design, databases, or distributed systems through coursework or projects
  • Software engineering fundamentals: Familiar with writing clean, secure, well-tested code, along with understanding of how to treat code review as a quality practice.
  • AI fluency: Exposure to AI coding assistants (Copilot, Cursor, Codeium, etc) and LLM APIs (OpenAI, Anthropic, open-weight models) to build features, and understanding the need for sound judgment when reviewing AI-generated code for correctness and security.
  • Technical communication: Ability to break down requirements into actionable tasks and communicate effectively with technical and non-technical stakeholders.

Benefits & conditions

For positions in this location, we offer a base pay of $55.56/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.

About the company

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.

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