As the first engineering hire, you will build the production-grade real-time video and audio pipelines connecting smart glasses to cloud-based vision-language models. You’ll own critical surfaces from edge-relay infrastructure to agentic co-pilot loops, transforming egocentric video into a data moat for physical AI while deploying directly to industrial environments.
Founding Software Engineer at Alcor Labs
Alcor Labs is building the AI co-pilot for skilled manual workers, delivered through smart glasses that see what they see and guide their hands in real time. As the first engineering hire, you'll own the production computer vision pipelines and edge-to-cloud infrastructure, working in-person in San Francisco to transform industrial labor into physical AI.
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Location
San Francisco, United States
Compensation
$160k-$220k + Equity
Company
Alcor Labs
Role overview
Vision AI, Wearable AI, field services, Robotics2–10+ employees
Building the AI co-pilot for manual workers starting with datacenter and energy infrastructure technicians. We give technicians smart-glasses with custom VLMs that automates hours of daily reporting, and can guide any user through any task. Already live with two multi-billion dollar companies.
Founders are: Elior - Harvard/NASA researcher in computer vision and physical AI (NeurIPS, ICCV) Gabriel - MIT Machine Learning, quant researcher in deep learning, quit to found Alcor.
What you will do
- Design and scale real-time video and audio streaming pipelines from wearable hardware through phone edge relays to cloud-based VLM inference engines.
- Build and maintain production-grade full-stack APIs, mobile integrations, and on-prem deployment systems for high-security customers in aerospace and defense.
- Implement observability and evaluation frameworks for vision-language models to ensure reliability and speed in high-stakes, real-world industrial environments.
Who this is a fit for
- A full-stack shipping generalist or AI/CV expert with less than 7 years of experience who has built and productionized software used by real people.
- Proven experience with applied AI, specifically visual perception or agentic reasoning loops, and a strong interest in deploying systems to industrial or physical-world settings.
- Thrives in high-intensity, in-person environments and is ready to work 6 days a week in San Francisco to build a category-defining company from scratch.
Why this role is remarkable
- Join as the first engineer at a $5M Seed-stage company led by technical founders from MIT and NASA, with backing from A* and strategic angels.
- Work on a tangible, high-impact product with live paying pilots at multi-billion-dollar enterprises like Equans and Park Place Technologies, generating immediate revenue.
- Secure a significant founding-team equity grant of up to 2% and the opportunity to architect the core infrastructure of a future physical-AI powerhouse.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
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What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Alcor Labs wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.