Real-Time Full‑Stack Engineer — On‑Site SF with Equity

davidjoseph-co; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Job summary

Alcor Labs is hiring a Full Stack Engineer in San Francisco to own the product layer around the AI core and build scalable architectures for real‑time video pipelines and wearables. The role emphasizes front‑to‑back ownership, latency‑sensitive backend services, and cross‑stack collaboration with rapid iteration in a startup environment.

You will ship an end‑to‑end experience for customers using smart glasses, including mobile/desktop clients and deployment workflows.

Qualifications

• 2-5 years post‑grad SWE experience, ideally early‑stage startup exposure.
• Founding engineer (#1‑5) OR early startup experience that shipped
• Strong background in real‑time video/streaming pipelines and low-latency systems
• Shipped AI pipelines into a product (LLM/agent integration) is strongly preferred

Responsibilities

• Ship the end‑to‑end product experience: smart glasses backend companion app that real customers can use without an engineer present.
• Build and optimize the real‑time video/streaming pipeline connecting glasses to the AI core within tight latency budgets.
• Own the backend APIs and data layer the glasses and AI services depend on — reliable, observable, and scalable to early customer load.
• Build the mobile/desktop client for setup, monitoring, and workflow configuration.
• Stand up the deployment and release path so new builds reach hardware in the field safely.
• Define product architecture and engineering practices as the team scales, making smart, scalable decisions early that won't need reworking.
• Be the cross‑stack generalist who unblocks the team: debug from frontend through backend to device.

Skills

Full-stack development

Real-time video/streaming

System architecture

Frontend/Mobile development

Education

Strong CS/Eng background or equivalent shipping record

Tools

AWS

Supabase

Railway

GCP

WebRTC

Job description

Alcor Labs is hiring a Full Stack Engineer in San Francisco to own the product layer around the AI core and build scalable architectures for real‑time video pipelines and wearables. The role emphasizes front‑to‑back ownership, latency‑sensitive backend services, and cross‑stack collaboration with rapid iteration in a startup environment.

You will ship an end‑to‑end experience for customers using smart glasses, including mobile/desktop clients and deployment workflows.