On-site · Engineering, Product & Tech · Full time San Francisco, California, United States
Description
Our client is a stealth, seed-stage startup building an AI-powered wearable platform for industrial field technicians - running a real-time computer-vision and agentic AI system directly on smart-glasses hardware, live today with major data-center, energy, and industrial customers across multiple countries. Backed by a $5M seed round and founded by researchers from Harvard/NASA (computer vision, published at NeurIPS and ICCV) and MIT (machine learning, ex-quant researcher).
The bet: computer vision and agentic vision-language models (VLMs) grounded in real integrations with legacy enterprise systems (ServiceNow, SAP, Salesforce) - not another LLM wrapper. The industrial data this generates is also laying the groundwork for robotics automation down the line.
This is the systems seat closest to the hardware: real work on the wearable device itself, plus the backend and edge layers around it. Firmware experience is a genuine requirement here.
What you’ll do
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Flash, patch, and adapt vendor firmware; work in embedded Linux/RTOS or device SDKs
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Evaluate camera/sensor hardware and define specs (FOV, battery, thermal, compute, latency) alongside the hardware ODM partner
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Build backend systems on a modern startup stack, comfortable close to the metal (C/C++/Rust)
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Own a real-time multimodal pipeline end-to-end: capture/encoding, low-latency transport, low-latency model serving
Location & culture
Fully on-site in the SF Bay Area. The founding team lives and works together for the first several months in a shared house before moving to a standard office — expect an intense, in-person, high-ownership culture. Hours flex for exceptional, senior talent; the priority is getting the right person, not saving on salary.
Requirements
Essential
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1–4 years software engineering (more if exceptional); founding-engineer/early-startup experience, or from an intense-culture company (e.g. Tesla, SpaceX, Anduril, top YC)
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Real firmware/embedded experience: vendor firmware work, embedded Linux/RTOS or device SDKs, hardware spec-writing
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Back-end-leaning full-stack on a modern stack (AWS, GCP, Supabase, Railway), comfortable in C/C++/Rust