Senior Network Engineer

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.
• 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.

Basic Qualifications:

• Education : Bachelor’s degree or above in Computer Science, Network/Electrical Engineering, or a related field.
• Experience : 8+ years of network engineering experience designing and operating enterprise, data center, and/or cloud networks.
• Networking Core : Deep expertise in routing & switching (BGP, OSPF, EIGRP, VLAN, STP, VXLAN), LAN/WLAN, WAN/SD-WAN, and load balancing.
• Network Automation : Hands-on automation with Python, Ansible, Terraform, and REST/NETCONF APIs, including Infrastructure-as-Code and version control (Git).
• AI / AIOps : Practical experience applying AI/ML or AIOps tools and LLM-based assistants to network monitoring, troubleshooting, or automation.
• Cloud Networking : Experience with cloud networking on AWS and/or Azure (VPC/VNet, transit/peering, VPN/Direct Connect/ExpressRoute, DNS).
• Network Security : Solid understanding of network security, firewalls, NAC, VPN, segmentation, and Zero Trust principles.
• Security : Hands-on experience with Cisco, Arista, Juniper, Palo Alto, Fortinet, or equivalent network platforms.
• Monitoring & Observability : Experience with network monitoring, telemetry, and observability tooling and proactive alerting.
• Collaboration : Strong troubleshooting, documentation, and cross-functional communication skills.
• Cluster & Storage : Experience with data center compute/GPU clusters and storage networking (SAN/NAS, iSCSI, NVMe-oF, Fibre Channel) and high-performance, low-latency lossless fabrics (RDMA/RoCE/InfiniBand).

Preferred Qualifications: </p&g