At Hayden AI, we are on a mission to harness the power of computer vision to transform the way transit systems and other government agencies address real-world challenges.
From bus lane and bus stop enforcement to transportation optimization technologies and beyond, our innovative mobile perception system empowers our clients to accelerate transit, enhance street safety, and drive toward a sustainable future.
The Engineering Operations Team drives quality, tooling, and deployment across our systems and development lifecycle. We work on test automation, build internal tools to support triage and debugging workflows, and assist with project execution.
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.
Below are your primary responsibilities. These represent the core areas where you’ll make an impact. As part of a rapidly evolving team, we look forward to your impact expanding over time.
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
The qualifications below outline the experience and skills most relevant to success in this role. We recognize that skills and potential come in many forms, and we welcome diverse experiences that advance our mission.
Education:
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.
Technical Experience:
Experience in one or more of the following programming languages:
Python
Typescript
Cypress
Some experience in: front end or front end testing, embedded systems validation, model evaluation
Personal Attributes:
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.
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