Network Engineer
Network Engineers at AI companies design, deploy, and operate the corporate and infrastructure networks the business runs on—wired and wireless LAN, WAN connectivity between sites, VPN and remote access, network security, and the automation that keeps it all maintainable. The day-to-day is classical enterprise networking: configuring and troubleshooting switching and routing, designing for high availability and disaster recovery, implementing zero-trust and segmentation patterns, and using infrastructure-as-code tooling to manage configurations at scale. A subset of these jobs—at companies running large-scale ML training infrastructure—does extend into specialized GPU-fabric and HPC networking (RoCE, InfiniBand, collective communication), but that is a specialization within the role rather than the canonical scope. These engineers typically sit within IT, infrastructure, or platform networking teams, partnering with security, infrastructure, and operations counterparts.
Measured across 19 of 20 open postings.
“Use Devin and AI to improve network reliability, building the skills, context, and runbooks needed for effective troubleshooting and automation”
“Bring an automation-first mindset: proactively identifying ways to reduce manual work and staying current on AI-assisted tools for IT infrastructure and ops.”
Skills
What companies are looking for in this role.
Network engineering and operations
Incident response and reliability
Infrastructure automation and IaC
Monitoring and observability
Cloud infrastructure operations
Security engineering
Cloud and infrastructure security
Technical issue diagnosis
AI and GPU infrastructure operations
High-density AI infrastructure delivery
Technical team leadership and mentoring
Technical communication
Technical documentation
Technology
The tools and technologies that define this role.
Open Jobs
20 open Network Engineer jobs across 14 companies.
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