Intern, Software Development Engineer [PSET-Access-ENG]

Position Overview

Autodesk’s Identity & Access Management team builds reliable, scalable services that support millions of Autodesk customers every day.

As an intern, you’ll work alongside experienced engineers, architects, and product managers to build and improve Autodesk’s membership platform. You’ll gain hands-on experience developing scalable, API-driven, cloud-native services and learn how production engineering teams build, test, and operate software at scale.

Responsibilities

• Collaborate with a self-organized agile team to design, build, and operate
  Autodesk’s membership service

• Contribute to features and capabilities that enhance performance, analytics,
  security, or software quality across our services

• Help improve testing and quality infrastructure, including unit, integration, and
  end-to-end test coverage

• Improve automated validation and quality gates to provide faster and more
  reliable development feedback

• Help maintain the health of the service and platform by assisting with
  monitoring, alerting, metrics, and troubleshooting

• Translate product and technical requirements into clean, scalable code with
  mentorship from senior engineers

• Explore developer and agent-friendly tooling that improves testing, code quality, and engineering workflows

Minimum Qualifications

• Currently enrolled in a Bachelor's degree program in Computer Science, Computer Engineering, or a related field, graduating in 2027 or 2028

• Strong understanding of object-oriented programming and design principles

• Familiarity with at least one programming language such as Go, Java, C++, C#, or Python

• Understanding of REST APIs and relational or NoSQL databases (MySQL,
  PostgreSQL, MongoDB, DynamoDB)

• Internship duration: 11 January - 25 June 2027, 6 months full-time (fixed dates)

Preferred Qualifications

• Exposure to automated testing, continuous integration, or cloud platforms (AWS preferred)

• Familiarity with performance monitoring or code quality tooling for web
  applications

• Interest in developer tooling, automation, or AI-assisted software development

• Strong communication skills to convey complex ideas clearly and effectively

• Interested in cloud-native application development and curious about AWS
  cloud ecosystems

Learning Benefits

• Platform-first engineering principles and cloud-native design patterns

• How modern cloud-native applications are built, tested, and maintained in
  production

• Best practices for secure, scalable API design and identity management

• Automated testing, continuous integration, code quality, and performance
  monitoring practices

• How modern engineering teams use automation and AI-assisted development
  workflows

• Collaboration skills in a global, fast-moving engineering environment

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