Ironsite Ai
Firmware Engineer
San Francisco, USA
Sponsorship not specifiedDetected 246 days ago
Computer VisionEmbedded Systems
About the role
- These cameras need to capture high-quality video continuously across 8+ hour shifts while managing power, connectivity, and on-device processing in extreme environments.
- We're scaling production for our public launch in Q1 2026.
- We've assembled a team that's never existed before in construction-engineers from DeepMind, Etched, Tesla, and NVIDIA working alongside construction veterans from Turner, DPR, and Cahill Construction.
Responsibilities
- Join our team to build firmware and embedded systems that power wearable devices for 11 million construction workers across the toughest jobsites in America.
- You'll work directly with our hardware and software engineers to develop firmware for ruggedized wearable cameras across multiple form factors including hard-hat and body-worn devices.
- We help teams reduce labor costs, improve safety, and deliver projects faster.
- To date, we've captured 50,000+ hours of construction footage across 7 states and have recently partnered with the nation's #2 hard-hat manufacturer, Studson, to develop custom hardware purpose-built for the field.
- Now, we're building the team to scale nationwide.
- The Role Join our team to build firmware and embedded systems that power wearable devices for 11 million construction workers across the toughest jobsites in America.
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industries, spending $7 trillion annually on labor, but productivity losses cost $1.6 trillion per year due to outdated management tools.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
- We put cameras on construction workers' hard hats and vests, then use advanced computer vision to analyze what's actually happening on job sites.
- 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.