Faraday & Future Inc.
Senior Network Engineer
El Segundo, California, United States · Senior
Stay score
odds of building a lasting career here
Sponsors, but it's cap-subject — you still face the weighted lottery (~30% per draw at Level II). Good if you win; have a cap-exempt backup on your list.
Lottery odds assume a STEM candidate.
Personalize to your clock →H-1B wage level
the lottery is wage-weighted — each level is one more entry
$6,842 more — $111,842 — moves this role to Level III and 3 lottery entries. That figure is inside the range the employer already advertised.
Based on the DOL prevailing wage for this occupation and worksite, a base salary of $111,842 would place this position at wage Level III. That figure is within the posted range, and I'd like to target it. This role classifies under "Network and Computer Systems Administrators" for prevailing-wage purposes.
DOL prevailing wage, 2026-27 wage year · Network and Computer Systems Administrators (15-1244) · Los Angeles-Long Beach-Anaheim, CA. Wage level is derived by USCIS from the offered wage, occupation and worksite; the occupation shown is inferred from the job title.
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from this employer's Department of Labor filings
Files H-1B transfers
Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.
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About 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.
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.
- 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.
- Build closed-loop automation from AI-driven insight to remediation with appropriate guardrails and human-in-the-loop approval.
- 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.
- Drive MTTR reduction through automation and AI-augmented analytics, and continuously improve network reliability.
- 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).
Requirements
- Networking Core: Deep expertise in routing & switching (BGP, OSPF, EIGRP, VLAN, STP, VXLAN), LAN/WLAN, WAN/SD-WAN, and load balancing.
- 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).
- 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.
- 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).
- Bachelor's degree or above in Computer Science, Network/Electrical Engineering, or a related field.
- 8+ years of network engineering experience designing and operating enterprise, data center, and/or cloud networks.
- Deep expertise in routing & switching (BGP, OSPF, EIGRP, VLAN, STP, VXLAN), LAN/WLAN, WAN/SD-WAN, and load balancing.
Nice to have
- 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.
- 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).
Compensation
- ($105,000.00 -$125,000.00 DOE), plus benefits and incentive plans
Benefits
- Perks + Benefits
- Healthcare + dental + vision benefits (Free for you/discounted for family)
Company info
- 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.
Equal opportunity
- equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
This listing is sourced directly from Faraday & Future Inc.'s careers page and normalized into a canonical job model.