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Product Pulse

Product Pulse

Founding Full-Stack Engineer

San Francisco, USSur siteContratTemps plein

Publié 25 sept. 2026

Cet emploi est publié en EN

Founding Full-Stack Engineer

Seed physical-AI company, SF Bay Area

The company builds a wearable AI copilot for industrial field technicians, currently live in eight countries. It has raised a $5M seed round and is hiring four founding engineers to work in person in the Bay Area.

SF Bay Area (Burlingame)

On-site

Mid-level

$180k–$240k base + 0.25% to 0.75% Equity


The role

Own the product layer around the AI core end to end: the real-time video and data pipeline from glasses to model under tight latency budgets and bad connectivity, plus backend APIs, the data layer, and the frontend and mobile client customers touch.


What they are looking for


1. True full-stack range, including React and React Native with native bridges.

2. Real-time or low-latency systems background, such as live streaming, video infrastructure, edge networking, or hardware-constrained domains.

3. 2 to 5 years of experience and a track record of shipping scalable systems with real users, ideally at an early-stage company.

4. Based in the Bay Area and able to work fully in person.


Good to know


1. You should have enough hardware exposure to build for wearables, but deep firmware experience is not required.

2. Visa sponsorship is available for candidates already in the US.


How they interview


  1. Intro call with a co-founder

  2. Technical stage with both co-founders

  3. On-site with the team


Fill in the form, we will contact you...

Aperçu du poste

Type de poste

Temps plein

E-mail

support@workfully.com

Compétences requises

ReactReact NativeNative mobile bridges (writing native modules)Real-time / low-latency systems designLive video streaming and video infrastructureEdge networking and handling unreliable connectivityBackend API design and implementationData layer and data pipeline designFrontend and mobile client developmentWearable hardware integration / hardware exposure for wearablesShipping scalable production systems with real users (deployment & monitoring)Product ownership / end-to-end system ownership in an early-stage startupIntegrating AI/ML model inference pipelines with product systems

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