Mill builds food recycling hardware, and its stack shows a full consumer-electronics operation: Altium, NX, Embedded Linux and MIPI CSI-2 camera interfaces on the device side, Shopify and Stripe for direct sales, and Snowflake, dbt, Airflow and Fivetran for analytics. Senior-heavy, engineering-led hiring plus projects around a commercial launch, DVT/PVT builds and camera subsystems point to a push from residential units into commercial and enterprise deployments.
Notable leadership hires: Full Stack Tech Lead, Marketing Lead
Mill designs food recycling solutions that keep food scraps out of landfills, serving households, workplaces and municipalities. The company is privately held, headquartered in San Bruno, California, and employs 51–200 people. It develops its own hardware, including embedded electronics, camera systems and mechanical design, alongside web software built with TypeScript, React and Node.js. Consumer sales run through Shopify with Stripe payments, while NetSuite supports finance. Hiring spans the United States and Mexico across engineering, data, manufacturing, finance, marketing and operations.
Mill uses Altium Designer, NX, Embedded Linux and Raspberry Pi for hardware, TypeScript, React, SvelteKit and Node.js for software, and Snowflake, dbt, Airflow, Fivetran and Tableau for data, plus NetSuite, Shopify and Stripe.
Mill is preparing a commercial food recycler launch, running DVT and PVT build planning, designing camera subsystems and mixed-signal PCBAs, modeling systems with CFD, and building a data warehouse model.
Mill is headquartered in San Bruno, California, and hires in the United States and Mexico, with engineering as the dominant hiring area and a senior-weighted mix.
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Mill's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.