Intern, Software Engineer, Quality Assurance

Hayden AISan Francisco, CA
6dHybrid

About The Position

As an Intern at Hayden AI, you will play a hands-on role in ensuring the quality and reliability of the technology that powers our automated enforcement solutions for cities and transit agencies around the world. In this role you will contribute to test automation efforts, build internal tools to support triage and debugging workflows, and assist with project coordination across the engineering organization. You will report into the Engineering Operations Team and work closely with QA Engineers, Technical Program Managers, and Project Engineers. We're looking for someone who is detail-oriented, enjoys solving operational problems, and has foundational experience in software development, scripting, or testing. Curiosity and a bias toward building practical solutions are a must. This position is based in San Francisco and follows a hybrid schedule with at least 3 days in-office per week.

Requirements

  • Currently in your final year of a Bachelor’s program, or enrolled in a Master’s or PhD program in Computer Science, Mechanical Engineering, or a related technical field.
  • Experience in one or more of the following programming languages: Python Typescript Cypress
  • Detail-oriented with a high bar for quality and accuracy.
  • Curious and self-driven, motivated to dig into problems and find root causes.
  • Strong communicator who can clearly document findings and surface issues to the right stakeholders.
  • Collaborative team player who thrives in cross-functional environments.
  • Organized and reliable, with the ability to manage multiple tasks and follow through consistently.
  • Comfortable with ambiguity and able to make progress with limited direction.

Nice To Haves

  • Some experience in: front end or front end testing, embedded systems validation, model evaluation

Responsibilities

  • Develop and maintain automated tests used in validation across software and system components
  • Build internal tools to assist with issue triage, debugging, and diagnostic workflows
  • Support project coordination activities including tracking milestones, documenting progress, and flagging blockers
  • Collaborate with engineers across disciplines to identify quality gaps and contribute to process improvements
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