MTS - Infrastructure Engineer
- Compensation
- Not disclosed
- Location
- San Francisco, USA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Devops
- Posted
Skills
Must have
- Deep infrastructure experience across cloud, distributed systems, and field networks. Ideally at the intersection of all three with hardware and edge devices. You've made real judgment calls on when t
- A track record of architecting and shipping data or ML training pipelines that scaled by orders of magnitude in throughput, storage, or user count, without over-engineering early or accumulating dead
- Deep experience with networks in the field, in the cloud, and at their intersection. You understand what it costs to move data at scale, and you know that the network is often the most important syste
- Strong systems thinking across the full stack, from IoT and embedded, to networking, to cloud and HPC. You have the judgment to know how choices in one layer propagate up and down.
- Comfort operating at the edge of what's known. You've worked on infrastructure problems where the right answer wasn't in a blog post or a textbook, and you've figured it out anyway.
- Typically 4+ years of experience, with at least 1-2 spent operating at a senior level.
- A background in Computer Science, Software Engineering, Mathematics, Physics, or a related technical field, or the equivalent hands-on experience.
Nice to have
- Deep experience with edge ML inference and neural accelerator chips.
- Background across IoT networking and traditional multi-environment HPC networking.
- A history of owning the full lifecycle of systems across hardware, firmware, and software integration.
- Strong instincts for observability across disciplines so you know what to measure and why.
- Experience with security patterns for edge devices and video data across long lifecycles.
- Genuine excitement about industries that have been underserved by software, and interest in becoming one of the engineers who builds the infrastructure the physical world runs on.
Full description
About Ironsite
Ironsite is building the intelligence layer for the physical world. We design our own wearable hardware, deploy it alongside craft workers, and transform a shift's footage into a next-morning report. Our internal team and purpose-built models label the data overnight and deliver actionable insights to superintendents by 5 AM.
We are accelerating the speed, efficiency, and predictability of construction, especially for complex, mission-critical infrastructure projects, including data centers, LNG facilities, sports stadiums, hospitals, and other large-scale developments, by training AI models on egocentric construction footage and labor productivity data. We are built with a pro-worker philosophy at our core: we believe technology should empower the workforce, not replace it. We're working to give craft workers and project leaders better visibility into what's happening on-site, while creating a system where the reality of construction and the chaos of each day are finally available to the people running the project.
Ironsite is deployed across several of the largest active construction projects in the country. To date, we've captured more than 100,000 hours of construction footage across seven states, now process thousands of hours of site activity every day, and maintain a worker opt-out rate below two percent. This is enabled by a workforce-first architecture that anonymizes devices, captures no audio, and never releases raw video.
Ironsite is backed by leading investors (8VC, South Park Commons, Saga Ventures) and prominent operators across technology and construction, including Eric Schmidt, Jeff Dean, Jeff Rothschild, Mark Leslie, Scott Wu, Eric Glyman, Karim Atiyeh, Russell Kaplan, and others, alongside over a dozen construction industry operators who have joined us as partners in building this.
Longer term, we believe Ironsite is the foundation for what construction becomes in the next decade. The systems we're building will be the operating system for how the physical world gets built. We see a future where craft workers are more valued, more visible, and better paid for the skill they bring, and where the industry finally has the intelligence layer that makes autonomous construction possible. Both start with the same foundation.
The Role
We're hiring an exceptional Infrastructure Engineer to build the systems that turn Ironsite's data into the intelligence layer we're building.
You'll own the backbone that connects ruggedized wearable devices in the harshest environments in American industry to the AI systems that make sense of what they capture. From the edge networks running on active jobsites, to device-to-cloud ingestion, to petabyte-scale video pipelines, to VLM inference on neural accelerators, to the compute orchestration that powers our research team. This is the infrastructure that decides how fast we can scale, how fast our models can learn, and how much of the physical world we can eventually make legible.