Ironsite Ai
Member of Technical Staff - Infrastructure
San Francisco, USA · Staff+
Sponsorship not specifiedDetected 107 days ago
About the role
- From device-to-cloud ingestion to foundation model training at scale, you'll bridge the gap between job site hardware and cutting-edge AI-across some of the harshest environments in American industry.
- We're scaling toward 2.5 million hours of job site footage in 2026.
- We've assembled a team that's never existed before in construction-engineers from DeepMind, YouTube, Etched, Meta, Apple and NVIDIA working alongside construction veterans from Turner, DPR, and Cahill Construction.
Responsibilities
- We're seeking an exceptional Infrastructure Engineer to build the backbone that connects ruggedized wearable devices on 11 million construction workers to the AI systems making sense of what they capture.
- You'll work directly with our folks across our engineering org to own the pipelines that ingest massive amounts of egocentric video data and the systems that power VLM inference on neural accelerator chips.
- The Role We're seeking an exceptional Infrastructure Engineer to build the backbone that connects ruggedized wearable devices on 11 million construction workers to the AI systems making sense of what they capture.
Compensation
- About Ironsite Construction is one of the most complex and labor-intensive industries, spending $7 trillion annually on labor, but productivity losses cost $1.6 trillion per year due to outdated management tools.
Benefits
- Ironsite leverages wearable cameras combined with human labeling and AI vision language models to drive on-site productivity, safety & training for crafts workers.
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This listing is sourced directly from Ironsite Ai's careers page and normalized into a canonical job model.