Posting record
Open 11+ days
- Eqltech's site dates the posting
- Ghostless first sees this listing
- Last checked: still up
How we know
It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.
Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Eqltech, so its true age is longer.
Last checked Nov 1, 2026.
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Upload your resumeWhat it asks of you
- Visa sponsorship offered
What the posting discloses
- Pay
- $180k to $240k a year USD
Base: $180K–$240K (quoted from the posting)
Not stated: Real vacancy, AI screening.
Why these three
Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.
Skills mentioned
About the role
Founding Full-Stack Engineer
On-site · Engineering, Product & Tech · Full time San Francisco, California, United States
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.
As Founding Full-Stack Engineer, you'll own the product layer end-to-end: the real-time video/data pipeline connecting wearable hardware to the AI core under tight latency budgets and unreliable connectivity, the backend APIs and data layer, and the frontend/mobile client customers actually touch.
What you'll do
- Build and own the real-time pipeline linking wearable hardware to the AI system
- Design and ship backend APIs and the core data layer
- Build the frontend/mobile client customers use daily
- Work directly with the founding team in a small, high-ownership environment
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, roughly 9-9-6 pace. Hours flex for exceptional, senior talent; the priority is getting the right person, not saving on salary.
Requirements
Essential
- 2–5 years shipping scalable production systems end-to-end, ideally at an early-stage startup
- True full-stack range: backend/API/data layer AND frontend/mobile (React, React Native with native bridges)
- Real-time/low-latency systems experience — either streaming platforms (e.g. Twitch, YouTube, Mux, Cloudflare, Agora, LiveKit) or hardware-constrained domains (drones, robotics, autonomous driving)
- Some exposure to hardware-constrained/on-device work
Particularly valuable
- Real-time video specifically
- On-device/edge experience
- Strong front-end/UX craft
- Has shipped an AI/LLM/agent pipeline into production
Benefits
Compensation & benefits
- Base: $180K–$240K
- Equity: 0.25%–0.75%
- Visa sponsorship available (O-1, TN, E-3, H-1B1, H-1B transfer, F-1 OPT/STEM OPT)
How to apply: submit your resume and a brief note on the most real-time/latency-sensitive system you've shipped.
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