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Network Engineer

Cognition · On-site · San Francisco

Posted by Cognition on their careers site · View the original posting

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Open 53 days

The posting, as Cognition wrote it

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.
  • Apply infrastructure-as-code, APIs, source control, and CI/CD to automate network configuration and deployment.
  • Use Devin and AI to improve network reliability, building the skills, context, and runbooks needed for effective troubleshooting and automation.

SECURE ACCESS AND S
[…]
s work through completion, and remains accountable across team and vendor boundaries.

  • Customer focus: Seeks direct feedback, translates user experience into technical improvements, and recognizes that a technically operational network may still be failing its customers.
  • Builder mindset: Solves immediate issues while improving architecture, automation, observability, documentation, and operating practices to prevent recurrence.
  • Curiosity: Continually tests assumptions, learns new technologies, and explores practical ways to use AI to improve network reliability, visibility, and engineering effectiveness.

BONUS POINTS

  • High-density wireless, modern Wi-Fi, or large multi-site campuses.
  • IaaS cloud networking in AWS, Google Cloud, or Azure.
  • Advanced routing, SD-WAN, SASE, or hybrid-cloud connectivity.
  • Network telemetry and analytics using NetFlow/IPFIX, gNMI, or similar tools.
  • Automation using NetBox, Ansible, Terraform, or similar platforms.
  • Applying AI or AIOps to reliability, capacity planning, or incident response.
  • CCNP Enterprise, CWNP, or equivalent demonstrated technical depth.

OUR COMMITMENT

Equal Opportunity. Cognition is an equal opportunity employer. We do not discriminate on the basis of any protected characteristic under applicable law. We are committed to providing reasonable accommodations for candidates with disabilities throughout the hiring process - please let us know if you need any. Cognition also considers applicants with criminal histories consistent with the SF Fair Chance Ordinance and similar local laws.

Data Privacy and Arbitration: By submitting your application, you agree to our Global Applicant and Job Candidate Privacy Notice https://cognition.com/documents/Cognition-Global-Applicant-and-Job-Candidate-Privacy-Notice.pdf. For US applicants, by submitting your application, you agree to the Applicant Arbitration Agreement https://cognition.com/documents/Cognition-Applicant-Arbitration-Agreement.pdf.