Network Solution Engineer

Field Ai; Irvine (CA); On-site; USD 110,000 - 140,000; Full time

Job summary

FieldAI in Irvine, CA is seeking a Network Solution Engineer to own the connectivity backbone for field robots, from Wi‑Fi to customer private networks. You’ll bring up field routers, troubleshoot coverage on-site, and collaborate with customer IT to admit robots onto networks.

This role blends networking, field operations, and customer enablement. You’ll build monitoring, surface fleet health, turn field learnings into playbooks, and help ensure mission readiness across deployments.

Qualifications

• Strong networking fundamentals across Wi‑Fi bands/channels/DFS and roaming.
• Practical Wi‑Fi coverage sense and AP placement awareness.
• 2–3 years in field deployment, systems integration, network operations, or IT/NOC.
• Troubleshooting across software, hardware, and networking layers with proper attribution.
• Comfortable on Linux/SSH; scripting (Python/Bash) is a plus.

Responsibilities

• Own end-to-end connectivity for deployments (Wi‑Fi, cellular, routers, and private networks).
• Bring up, configure, test, and recover field routers to keep robots online and mission-ready.
• Partner with customer site IT on access-point placement, coverage, and network admission.
• Stand up monitoring and diagnostics surfacing fleet connectivity health.

Skills

Networking fundamentals

Wi-Fi troubleshooting

Field deployment

Linux/SSH

Customer communication

Tools

Linux

SSH

Python

Job 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.

Site Connectivity Deployment & Operations

• Own end‑to‑end connectivity for deployments — Wi‑Fi, cellular, routers, and customer private networks.
• Bring up, configure, test, and recover field routers so robots come online and stay mission‑ready.
• Partner with customer site IT on access‑point placement and coverage — flagging dead zones, interference, and weak spots along mission paths, and advising on placement, channel, and antenna adjustments.
• Resolve connectivity failures in the field: poor coverage, weak or failing cellular and SIMs, access‑point and backhaul issues, regulatory/DFS "no‑channels" states, and roaming problems.

Network Reliability & Triage

• Quickly root‑cause field issues across software, hardware, and networking layers — using connectivity telemetry (signal, latency, packet loss) to accurately attribute whether a fault is the network or the application — and route it to the right team to maintain uptime and mission success.
• Stand up and operate monitoring and diagnostics that surface connectivity health across the fleet.
• Gather and analyze field feedback, and partner with engineering to drive recurring fixes and automation into the tooling.

Customer & Site Enablement

• Bring robots onto customer private networks — supplying the correct device MAC addresses for allowlisting and coordinating with customer IT to get robots admitted.
• Translate connectivity status into clear, actionable updates for operators, site teams, and customer IT.
• Serve as a trusted connectivity point of contact who accelerates deployment and keeps sites running.

Cross‑Functional Collaboration

• Be the voice of the field for connectivity, bringing site network insights back to engineering and product.
• Collaborate across software, hardware, and platform teams to keep robots connected.
• Build scalable connectivity playbooks and runbooks for future rollouts.

Qualifications

• Strong networking fundamentals — Wi‑Fi (bands, channels, DFS, roaming), cellular (LTE/5G, APN, SIM provisioning), routers and access points, subnets/VLANs, DHCP, DNS, NAT, and MAC addressing/allowlisting.
• Practical Wi‑Fi coverage sense — able to spot dead zones and interference and understand how access‑point placement, channels, and antennas affect coverage and roaming — enough to have a productive conversation with the site team that owns the APs.
• 2–3 years in field deployment, systems integration, network operations, or IT/NOC; field robotics a plus.
• Strong troubleshooting and debugging across software, hardware, and networking layers, with the judgment to know which layer a problem actually lives in.
• Comfortable on Linux and in a terminal / over SSH; scripting (Python/Bash) to automate and extend tooling is a plus.
• A clear communicator who works directly with customers and IT in high‑stakes settings and translates technical issues for non‑technical audiences.
• Self‑starter who thrives in ambiguous, rapidly changing field environments.
• Willingness to travel and work on‑site with customers as needed.
• Comfort reading network and fleet telemetry — dashboards and logs — to diagnose issues (specific tools are easily picked up on the job).
• A track record deploying, operating, or maintaining mission‑critical systems in real‑world environments.

Our salary range is generous and we consider each individual’s background and experience when determining final compensation. Base pay may vary based on role scope, job‑related knowledge, skills, experience, and the Irvine, California market.

Why Join FieldAI in Irvine?

In Irvine, you will work where the robots are. Our local team builds and tests systems on real hardware with real sensors, then ships them to operate in unstructured, previously unknown environments around the world. We are solving one of robotics’ hardest challenges: reliable deployment outside the lab. Our Field Foundational Models raise the bar for perception, planning, localization, and manipulation, with an emphasis on explainability and safety for real‑world use.

You will collaborate with a world‑class team that thrives on creativity, resilience, and bold thinking. We bring deep experience from organizations such as DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise, Zoox, Toyota Research Institute, and SpaceX, along with a track record of field deployments and strong performance in DARPA challenge segments.

Be Part of the Next Robotics Revolution

We are looking for builders who want their work to leave the whiteboard and show up on robots. If you enjoy tackling tough, uncharted questions and working across disciplines, you will find your people here. Our teams span AI, software, robotics engineering, product, field deployment, and technical communication, all focused on shipping systems that perform in the real world.

Our headquarters is in Irvine, and we partner closely with teams there as well as colleagues across the US and around the world. Join us in Southern California and help define what dependable, field‑ready autonomy looks like.

We value diverse perspectives and are committed to fostering an inclusive workplace. We evaluate candidates and employees based on merit, qualifications, and performance, and we do not discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, or any other legally protected status.