Senior Network Engineer

Faraday Future, El Segundo, California +1

The role

As Senior Network Engineer, you will own the design, deployment, and operation of Faraday Future’s enterprise and manufacturing network infrastructure across corporate offices, data centers, cloud environments, and the plant/production network. You will lead network architecture for highly available, secure, and scalable connectivity spanning campus LAN/WLAN, WAN/SD-WAN, data center, and multi-cloud (AWS/Azure) environments. Beyond traditional network engineering, you will champion AI-driven network operations (AIOps) — applying automation, machine learning, and AI assistants to monitoring, anomaly detection, capacity planning, and self-healing — to elevate the network from manually operated infrastructure into an intelligent, automated, and predictive platform that supports the company’s R&D, manufacturing, and business operations.

All jobs

Senior Network Engineer

Faraday Future, El Segundo, California +1

Posted pay

$105K–$125K

a year

Compared with similar jobs

This base pay is below the median for senior infrastructure, platform and SRE jobs in other US places.

Median: $182K a year
Other jobs in the group: 796

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.

Location: El Segundo, California +1
Work type: Not given
Level: Senior
Experience: 8+ years
Skills in the job text: Python
AWS
Azure
Terraform
Ansible
Grafana
Posted: Jun 30, 2026
Last check: 2 h ago
Job type: Infra, platform & SRE, Inference & ML systems, ML / AI engineering

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Faraday Future

Open tech jobs: 14
With posted pay: 86%
Median posted base: $153K–$180K

About Faraday Future: funding, hiring and pay

Faraday Future

About Faraday Future: funding, hiring and pay

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The role

What you will do

Network Architecture & Design: Design and implement enterprise, data center, and manufacturing/OT network architectures spanning campus LAN/WLAN, WAN/SD-WAN, routing, switching, and segmentation. Define standards for high availability, redundancy, and scalability across corporate offices, plants, data centers, and cloud. Lead network capacity planning, technology selection, and the long-term network roadmap.
Network Automation & Infrastructure as Code: Build network automation using Python, Ansible, Terraform, and device APIs (REST/NETCONF) to standardize provisioning, configuration management, and change deployment. Develop CI/CD pipelines and Infrastructure-as-Code (IaC) workflows for network changes to eliminate manual, error-prone operations. Create event-driven and self-service automation for routine network tasks.
AI-Driven Network Operations (AIOps): Apply AI/ML and AIOps to network monitoring, anomaly detection, predictive capacity planning, and automated root-cause analysis. Leverage LLM-based copilots and agents to accelerate troubleshooting, generate and review device configurations, parse logs, and automate runbooks. Build closed-loop automation from AI-driven insight to remediation with appropriate guardrails and human-in-the-loop approval.
Cloud & Hybrid Networking: Design and manage cloud and hybrid-cloud networking across AWS and/or Azure, including VPC/VNet design, transit gateways/peering, VPN/Direct Connect/ExpressRoute, load balancing, and DNS. Ensure secure, high-performance connectivity between on-premises, data center, and cloud workloads, and embed automation and observability into cloud network operations.
Network Security & Zero Trust: Implement network security controls including next-generation firewalls, NAC, micro-segmentation, VPN, and Zero Trust Network Access (ZTNA). Partner with security teams on threat detection, policy enforcement, and compliance. Use AI-assisted tooling for security event correlation, automated response, and continuous posture assessment.
Reliability, Monitoring & Observability: Deploy and operate the network monitoring and observability stack (streaming telemetry/SNMP, NetFlow, Grafana, ELK, network performance monitoring). Define SLAs/SLOs, alerting, on-call, and incident response. Drive MTTR reduction through automation and AI-augmented analytics, and continuously improve network reliability.
Data Center & Manufacturing Connectivity: Support data center networking (spine-leaf fabric, EVPN/VXLAN, high throughput), structured cabling standards, and plant/manufacturing connectivity (industrial Ethernet, OT/IT convergence, and wireless coverage). Ensure resilient, high-availability connectivity for production-critical and R&D systems.
Compute Cluster & Storage Networking: Design and operate high-performance networking for compute/GPU clusters and HPC environments (low-latency, high-bandwidth fabrics, RDMA/RoCE/InfiniBand) and storage networking (SAN/NAS, iSCSI, NVMe-oF, Fibre Channel). Ensure resilient, high-throughput, lossless connectivity between compute clusters, storage arrays, and the data center fabric to support AI/ML training, simulation, and R&D workloads.
Technical Leadership & Collaboration: As a senior engineer, lead network design reviews and key technical decisions, mentor junior engineers, and set best practices for automation and AI adoption in network operations. Collaborate cross-functionally with IT, security, cloud, and manufacturing teams, manage vendors and carriers, and drive the evolution toward intelligent, automated network operations.

Senior Network Engineer

The role

Senior Network Engineer

The role

What you will do

What you need

Nice to have

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Pay and benefits

About Faraday Future

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