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industries, spending $7 trillion annually on labor, but productivity losses cost $1.6 trillion per year due to outdated management tools.

Ironsite leverages wearable cameras combined with human labeling and AI vision language models to drive on-site productivity, safety & training for crafts workers. We put cameras on construction workers' hard hats and vests, then use advanced computer vision to analyze what's actually happening on job sites.

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.

We’ve raised over $13M from 8VC, South Park Commons, and 30+ leading operators and technologists, including Eric Glyman (Ramp), Jeff Dean (Google), and Scott Wu (Cognition). 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.

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. 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.

What You'll Do

Develop embedded software for platforms like Raspberry Pi, ESP32, and STM32
Write drivers and libraries for camera, audio, wireless, IMU, and environment sensing
Analyze sensor data with real-time algorithms and ML inference on device
Build reliable, secure infrastructure for provisioning, OTA updates, and telemetry
Maximize battery life during all-day use
Collaborate with hardware and manufacturing engineers across entire product lifecycle, from initial design and architecture through volume manufacturing

Job Requirements

Bachelor's degree in Electrical Engineering, Computer Engineering, or related field
4+ years of experience in embedded systems and firmware development
Proficiency in C/C++ for embedded systems with resource constraints
Experience with at least one industry-standard microcontroller platform (eg, STM32, ESP32, nRF)
Comfortable reading schematics and datasheets, and using typical HW lab tools (oscilloscope, logic analyzer, etc) to debug hardware-software integration issues

Preferred Qualifications

Delivered at least one full product lifecycle in wearables, cameras, or IoT devices
Experience with real-time operating systems such as FreeRTOS or Zephyr
Proficient in embedded security best-practices, including secure boot, factory provisioning, and device authentication
Familiarity with edge device ML inference frameworks

Location & Compensation

San Francisco Bay Area (on-site)
Hyper competitive salary and equity package
Full benefits including health, dental, vision, and 401k +6% match

Firmware Engineer

Job Description