About the Role
Join an early-stage industrial AI team building wearable AI products for field technicians. You will own the product layer around the AI core, connecting wearable devices, backend services, and companion clients to deliver reliable tools for real-world work.
What You'll Do
Ship the end-to-end product experience across smart glasses, backend services, and companion applications.
Build cloud infrastructure for real-time video ingestion, APIs, and storage.
Own dependable, observable, and scalable backend APIs and data layers used by devices and AI services.
Develop mobile and desktop clients for setup, monitoring, and workflow configuration.
Establish safe deployment and release processes for software running on devices in the field.
Shape product architecture and engineering practices as the team grows.
Debug issues across frontend, backend, and device systems to unblock product development.
What We're Looking For
Two to five years of post-graduate software engineering experience, ideally including early-stage startup work.
Experience building and shipping a product end to end, including backend APIs, data layers, and user-facing web or mobile clients.
Ability to make sound architectural decisions and build scalable systems from an early stage.
Familiarity with a modern startup stack such as TypeScript, Python, React, React Native, Node.js, AWS, GCP, Supabase, or Railway.
Experience with real-time video, streaming, or low-latency systems is valuable, as is work integrating AI capabilities into products.
Mobile application experience, frontend and UX craft, or exposure to wearable devices, edge systems, and industrial environments is a plus.
Eligible to work in the United States; visa sponsorship is available.
Compensation & Benefits
Base salary is $180,000 to $240,000 annually. Equity is available.
Location
On-site in San Francisco, with a minimum of five days per week on-site.