About the Role
Join an early-stage industrial AI team building wearable AI tools for field technicians working with critical infrastructure. You will own the product experience across smart glasses, backend services, and companion apps, helping make real-time AI assistance reliable and practical in the field.
What You'll Do
Build end-to-end product experiences connecting wearable devices, backend services, AI systems, 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 features.
Build mobile and desktop tools for device setup, monitoring, and workflow configuration.
Create safe deployment and release processes for software updates reaching devices in the field.
Shape product architecture and engineering practices, and troubleshoot across the full stack.
What We're Looking For
Two to five years of post-graduate software engineering experience, ideally including early-stage startup work or other experience shipping products from zero to one.
Experience owning a complete application, including backend services, APIs, data, and a user-facing web or mobile client.
Strong full-stack skills with TypeScript, Python, React, React Native, Node.js, and cloud platforms such as AWS or GCP.
Experience with real-time video, streaming, WebRTC, low-latency systems, or shipping AI features into a product.
Sound architectural judgment, strong CS or engineering fundamentals, and a track record of building and shipping user-focused software.
Experience with PostgreSQL, Redis, Docker, REST APIs, or CI/CD is useful.
Compensation & Benefits
Annual base salary is $180,000 to $240,000. Visa sponsorship is available.
Location
This is an on-site role in San Francisco, California.