MTS - Infrastructure, Field Engineer

Ironsite AI•San Francisco, CA

3h•$225,000 - $275,000•Onsite

About The Position

Ironsite is hiring an engineer to own the field infrastructure that keeps wearable cameras recording, charging, and uploading at large construction jobsites. The role owns the path from devices to the cloud, beginning with the network and compute in a ruggedized on-site rack equipped with edge compute, industrial switching, satellite backhaul, power and battery systems, charging drawers, and I/O to site equipment. The engineer will develop the software running on this infrastructure, ship updates to deployed equipment, and build monitoring to identify problems early. The work spans jobsite networks, edge workloads, rack infrastructure, fleet management, video ingestion, site launches, network observability, and hardware inventory and lifecycle. Sites may have unreliable power and satellite or cellular connectivity, and conditions change as construction progresses. Systems must operate with limited bandwidth, recover from extended periods offline, fit fixed power and thermal constraints, and be remotely manageable across thousands of devices and dozens of sites. The position is on-site in the San Francisco Bay Area and requires travel to jobsites for network setup and in-person debugging. The base salary is $225,000–$275,000 per year, commensurate with experience. Ironsite also offers early-stage team equity, full health, dental, and vision benefits, a 401(k) with 6% match, daily catered lunch, and the ability to purchase xPU or devices for development.

Requirements

Strong programming skills in Rust, C++, or C, with production software experience on resource-constrained Linux systems.
Hands-on experience designing and operating networks in difficult environments, including WAN/LAN, Wi-Fi planning, satellite and cellular backhaul, VPNs or overlay networks, and failover.
Deep Linux and systems expertise, including building OS images and debugging kernel and driver issues, while working within storage, power, and thermal limits on edge hardware.
Experience with infrastructure as code, such as Nix, Terraform/OpenTofu, Ansible, or similar.
Experience operating device fleets with staged rollouts, remote management, monitoring, and alerting.
Willingness to travel to jobsites for network setup and in-person debugging.
Typically 4 or more years of experience in infrastructure, networking, or fleet operations.
A degree in computer science, electrical engineering, or a related field, or equivalent experience.

Nice To Haves

Production experience with NixOS or other reproducible, declarative systems.
IoT, industrial, or OT networking experience, including PoE, ruggedized equipment, and harsh RF environments.
Experience with high-throughput transfers over unreliable links, including store-and-forward, resumable transfers, or delta sync.
Video encoding and processing experience, including hardware encoders or FFmpeg/GStreamer pipelines.
Experience with hardware interfaces such as GPIO, ADC, PWM, serial, and fieldbus, and collaboration with electrical engineering and firmware teams.
Experience monitoring and collecting telemetry across distributed sites, including SNMP or streaming telemetry, flow data, synthetic probes, and Prometheus-compatible metrics with Grafana.
Security fundamentals for edge fleets, including device identity, certificate rotation, and secure remote access.
Field deployment experience in construction, energy, telecom, or similar industries.

Responsibilities

Design and stand up jobsite networks, including satellite and cellular backhaul with failover, Wi-Fi, and zero-trust access to the cloud.
Build edge workloads for video compression and preprocessing, upload scheduling, and moving site footage using Rust, C++, or C.
Own the compute and network components of the on-site rack, including industrial switching, backhaul, power and battery telemetry, and digital, analog, and PWM I/O.
Create reproducible NixOS images, staged rollouts with canaries and rollback, and automatic updates that work after extended offline periods.
Build device-to-cloud ingestion that supports overnight uploads over constrained, metered links, including resumable transfers, bandwidth shaping, and on-site buffering.
Develop a repeatable site-launch playbook covering hardware kits, charging, network bring-up, and remote checks before the first shift.
Monitor network health, including uplink latency, loss, throughput, backhaul failovers, Wi-Fi and RF health, switch and port telemetry, and upload rates; alert promptly to outages or saturation.
Work with hardware and platform teams on fleet-wide device monitoring.
Track cameras, routers, and edge boxes through shipping and decommissioning, and keep firmware, operating systems, kernels, and certificates current.
Travel to jobsites to bring up networks and debug issues in person.