The Company: Faraday Future (FFAI) is a California-based mobility company, leveraging the latest technologies and world’s best talent to realize exciting new possibilities in mobility. We’re producing user-centric, technology-first vehicles to establish new paradigms in human-vehicle interaction. We’re not just seeking to change how our cars work – we’re seeking to change the way we drive.

At FF, we’re creating something new, something connected, and something with a true global impact. Your 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.

Key Responsibilities

: 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.