Rinse provides dry cleaning and laundry delivery services to customers in twelve metropolitan areas in the US and Canada. We have sophisticated logistics optimization software, a polished consumer product, and firm business fundamentals. We're now over a decade old - this is a stable, yet consistently growing and innovating, company.
Our engineering team is distributed across the United States and internationally, and has been entirely remote for years now, but a desk can be provided in the above cities if you'd prefer.
We're open to both newly-graduated engineers or more senior engineers, provided they meet our bar. We're particularly interested in true full-stack engineers, with strong React / Typescript / CSS skills to complement comfort in a Python / Django environment. We're also seeking engineers with experience leveraging AI to automate complex operational processes.
Search term bingo: Logistics, Django, Python, Optimization, React, React Native, Postgres, Mobile Engineer, Automation, Delivery, OR-tools
EQTY Lab is focused on emerging governance and security paradigms for AI infrastructure. Our primary focus is verifiable computing using cryptographic capabilities to identify and govern agent behavior.
We're also focused on helping the industry advance with frontier tooling. From requesting the hooks feature in Claude Code, to building our own open-source integrated capabilities such as https://github.com/eqtylab/cupcake - we will continue to explore and share the things we develop for coding agents or any frontier tooling enterprise is quickly adopting.
We're seeking software engineers across the full stack. To include,
- engineers interested in governance tooling - sdk writing in TypeScript or Rust - or engineers with cryptographic security domain experience - or deeper hardware level focus (platforming on Kubernetes - confidential computing, custom firmware as it relates to GPUs). For all of this, we're seeking experienced devrel to help us communicate and build tooling the right way.Please email me directly: ramos@eqtylab.io