Intern, Software Engineer - Platform
About Us
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.
About the Team the Platform Team
The Platform team serves as the foundational layer that keeps Hayden's operations running reliably and at scale. This team is responsible for ensuring that Perception algorithms run smoothly across both purpose-built edge hardware and public cloud infrastructure. The team manages event processing, starting from device and ending at delivery to partners. It is also responsible for the fleet's health. Security, compliance, data governance, and data privacy is also within the responsibility of the Platform team.
About the Role
As a Platform Engineering Intern at Hayden AI, you’ll work on the foundational systems that power our entire product. This is not a sandbox role, you will contribute directly to the infrastructure, services, and data pipelines that ensure our Perception algorithms run reliably across edge devices and cloud environments.
You will partner closely with senior engineers to build and improve the systems that move data from devices in the field all the way through event processing and delivery to our partners. Your work may touch cloud services, backend systems, fleet health monitoring, data tooling, or internal platforms that support security, compliance, and governance.
This role is ideal for someone who wants to understand how large-scale AI systems operate in production—from edge hardware to cloud infrastructure—and is excited by reliability, performance, and scalability challenges.
You will gain hands-on experience designing, building, testing, and deploying production-grade systems while learning how high-performing infrastructure teams operate.
This position is based in San Francisco and follows a hybrid schedule with at least 3 days in-office per week.
Key Responsibilities
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.
Take ownership of a real project and see it through to completion
Build and ship features with support from senior engineers
Write clean, scalable code
Test your work and iterate quickly
Be involved in everything from design discussions to deployment
Collaborate with engineers in code reviews and team discussions
Participate in standups, sprint planning, and retrospectives
Support the team on ad hoc engineering tasks as they come up
Help improve performance, reliability, or usability where needed
Ask questions, seek feedback, and apply it quickly
Deliverables or project examples:
GPS data analysis
Train Deep learning model
Create AI datasets
Lidar/Camera data tooling
Test cases for end-to-end system performance
Develop a cloud service in the event processing pipeline
Add page or a new user flow to the Portal web application
Required Qualifications
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.
Technical Experience:
Experience in one or more of the following programming languages:
Go, Python
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.