Network Engineer

• 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.

• 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)., * Certifications: CCNP / CCIE, AWS/Azure networking, or equivalent industry certifications.
• Network AIOps Platforms: Experience with AI/ML-driven network platforms such as Cisco DNA Center / ThousandEyes, Juniper Mist AI, or similar AIOps tooling.
• SD-WAN / SASE: Experience with SD-WAN and SASE/SSE solutions (Cisco, VMware VeloCloud, Palo Alto Prisma, Zscaler, etc.).
• Manufacturing / OT Networking: Experience with manufacturing, industrial, or OT/IT converged networks.
• Data Center Fabric: Experience with data center fabric, spine-leaf, and EVPN/VXLAN in high-throughput environments.
• Telemetry & Analytics: Experience building network telemetry, observability, and analytics pipelines (streaming telemetry, NetFlow, Grafana, ELK).
• NetDevOps at Scale: Proven track record of leading network automation / NetDevOps transformation at scale.
• AI Tooling & Scripting: Strong scripting/development background and experience integrating AI copilots/agents into IT and network operations.
• HPC / GPU Clusters: Experience supporting HPC / GPU cluster networking for AI/ML training (RoCE/InfiniBand fabrics, GPUDirect) and storage performance tuning (parallel/distributed file systems, NVMe-oF, tiered storage).

($105,000.00 -$125,000.00 DOE), plus benefits and incentive plans

Perks + Benefits

• Healthcare + dental + vision benefits (Free for you/discounted for family)
• 401(k) options
• Casual dress code + relaxed work environment
• Culturally diverse, progressive atmosphere

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.