Network Solution Engineer
Field Ai
| Company | Field Ai |
| Category | Engineering |
| Location | Irvine |
| Remote | On-site (inferred) |
| Employment | Full-time |
| Level | Not stated |
| Salary | USD 115k–135k |
| Posted | 17 Jul 2026 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (lever) |
Description
FieldAI’s Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California’s robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field.
We're looking for a Network Solution Engineer to own the network backbone that keeps our robots online, mission-ready, and connected — from Wi-Fi and cellular to routers and customer private networks. Robots can't run missions if they can't stay connected, and you'll be the person who makes sure they do: bringing up field routers, troubleshooting coverage and interference on-site, and partnering with customer IT to get robots admitted onto their networks.
This role sits at the intersection of networking, field operations, and customer enablement. You'll triage issues across software, hardware, and networking layers, build the monitoring and tooling that surfaces connectivity health across the fleet, and turn what you learn in the field into playbooks and product feedback that make every future deployment smoother
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