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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Build and ship the end-to-end product experience across smart glasses, backend services, and companion applications.
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Develop cloud services for real-time video ingestion, APIs, and storage.
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Own reliable, observable, and scalable backend APIs and data systems used by devices and AI services.
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Build mobile and desktop clients for setup, monitoring, and workflow configuration.
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Create deployment and release workflows that safely deliver software updates to hardware in the field.
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Set product architecture and engineering practices, making sound decisions as the team grows.
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Debug across frontend, backend, and device systems to unblock product development.
What We're Looking For
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Two to five years of post-graduate software engineering experience, ideally including early-stage startup work.
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Experience taking a product from zero to launch, owning backend APIs, data, and a user-facing web or mobile client.
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Full-stack experience with modern cloud platforms and tools such as TypeScript, Python, React, React Native, Node.js, AWS, GCP, Supabase, or Railway.
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Strong architectural judgment and experience building scalable systems with real users.
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Familiarity with real-time video, streaming, low-latency systems, AI product integrations, or mobile application development.
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Experience with technologies such as WebRTC, PostgreSQL, Redis, Docker, REST APIs, and CI/CD is useful.
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Interest in wearable computing, industrial AI, or tools for field and infrastructure teams.
Compensation & Benefits
Base salary: $180,000 to $240,000 annually. Visa sponsorship is available.
Location
On-site in San Francisco, United States, five days per week.
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