We are an applied AI lab building end-to-end software agents.

We're the makers of Devin, the first AI software engineer.

Our team is extremely talent-dense. Among our founding team, we have world-class competitive programmers, former founders, and leaders from companies at the cutting edge of AI including Scale AI, Palantir, Cursor, Waymo, Tesla, Lunchclub, Modal, Google DeepMind, and Nuro.

Building Devin is just the first step—our hardest challenges still lie ahead. If you’re excited to solve some of the world’s biggest problems and build AI that can reason on real-world tasks, apply to join us.

About the role

We’re looking for a Network Engineer to own the reliability, security, and evolution of Cognition’s global office

networks.

Strong candidates have operated networks in a hypergrowth startup and thrive amid rapid change, ambiguity, and high ownership. They will apply deep wireless and routing expertise and a builder mindset to deliver scalable wired, wireless, and cloud-connected networks, repeatable office infrastructure, and strong observability and automation. Working across internal teams, carriers, and partners, they will own outcomes end to end and continuously improve the network through stakeholder feedback and operational data.

This role is onsite five days a week. We value teamwork and in-person collaboration.

What you’ll do

Own scalable networks and office delivery

• Design, deploy, and operate high-performance wired and wireless networks across offices, branches, and large campus environments, including RF optimization and resilient architectures using technologies such as VLANs, LACP, OSPF, BGP, VRFs, QoS, and redundant internet and core paths.

• Own network delivery for offices, expansions, and moves—from procurement, circuit turn-up, and vendor coordination through cutover and handoff—and, as Cognition scales, build secure connectivity across offices, cloud infrastructure, and Devin environments using VPC peering, transit networking, IPsec, GRE, or SD-WAN.

• Create repeatable reference architectures, configuration and lifecycle standards, high-availability patterns, capacity models, inventories, diagrams, runbooks, and deployment playbooks for a growing global footprint.

  Build observable and automated network operations

• Own network monitoring and observability across availability, performance, capacity, and employee experience, using telemetry and analytics to identify degradation before customers report it.

• Develop scripts, reusable tooling, and data pipelines in Python, Go, TypeScript, or another modern language to improve reliability and turn network data into actionable insight.