Join an early-stage industrial wearable AI team building real-time tools for field technicians. You will own the product layer across smart glasses, backend services, and companion applications, helping deliver reliable AI assistance in demanding work environments.
Build the end-to-end experience connecting wearable devices, backend services, and companion applications.
Develop and optimize real-time video and streaming pipelines to meet low-latency requirements.
Own reliable, observable backend APIs and data services that support devices and AI capabilities.
Build 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 integrations.
Two to five years of post-graduate software engineering experience, ideally including early-stage startup work.
A track record of shipping complete products from initial build through real user adoption, including backend APIs, data systems, and user-facing applications.
Strong full-stack skills with technologies such as TypeScript, Python, React, React Native, Node.js, and cloud platforms including AWS or GCP.
Experience with real-time video, streaming, low-latency systems, mobile applications, or AI integrations in production.
Strong architectural judgment, product sense, and the ability to work across frontend, backend, and device systems.
A strong computer science or engineering foundation, or an equivalent record of building and shipping software.
Annual salary range: $180,000 to $240,000 USD. Visa sponsorship is available.
On-site in San Francisco, United States.
Job details are sourced from the employer's original posting.
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