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Full-Stack Software Engineer (Industrial AI Wearables)

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Own the product layer for an early-stage industrial AI wearable platform across smart glasses, cloud services, and companion clients. Build and ship end-to-end experiences, backend APIs, data systems, mobile/desktop clients, and field deployment workflows. Requires 2-5 years of software engineering experience with full-stack cloud development and strong architectural judgment.

Key Highlights
Own end-to-end product experience across smart glasses, backend services, and companion clients
Build cloud services, APIs, storage, and scalable backend data systems
Create mobile and desktop clients plus field deployment and release workflows
Requires 2-5 years of software engineering experience and full-stack cloud skills
On-site in San Francisco, United States, five days per week
Key Responsibilities
Build and ship the end-to-end product experience across smart glasses, backend services, and companion applications
Develop cloud services for real-time video ingestion, APIs, and storage
Own reliable, observable, and scalable backend APIs and data systems used by devices and AI services
Build mobile and desktop clients for setup, monitoring, and workflow configuration
Create deployment and release workflows that safely deliver software updates to hardware in the field
Set product architecture and engineering practices
Debug across frontend, backend, and device systems to unblock product development
Technical Skills Required
TypeScript Python React
Benefits & Perks
Visa sponsorship
Nice to Have
Familiarity with real-time video, streaming, low-latency systems, AI product integrations, or mobile application development
Experience with WebRTC, PostgreSQL, Redis, Docker, REST APIs, and CI/CD
Interest in wearable computing, industrial AI, or tools for field and infrastructure teams

Job Description

About the Role

Join an early-stage industrial AI team building wearable tools for field technicians. You will own the product layer around the AI systems, connecting smart glasses, cloud services, and companion clients into a reliable experience customers can use in the field.

What You'll Do

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