---
title: 'GPU Cluster Engineer, Networking at Sciforium'
canonical: 'https://feeny.ai/job/gpu-cluster-engineer-networking-sciforium-san-francisco-594atsvfkbpv'
type: 'job'
last_seen: '2026-09-06'
---

# GPU Cluster Engineer, Networking at Sciforium

- **Company:** Sciforium
- **Location:** San Francisco, CA
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-08-06
- **Last confirmed live:** 2026-09-06
- **Apply:** https://jobs.ashbyhq.com/sciforium/2def66ac-5273-4730-86c0-b8ac0f045acb

## Job description

Sciforium is an AI infrastructure company developing next-generation multimodal AI models and a proprietary, high-efficiency serving platform. Backed by multi-million-dollar funding and direct sponsorship from AMD with hands-on support from AMD engineers the team is scaling rapidly to build the full stack powering frontier AI models and real-time applications.

## Role Overview

We are looking for a Senior Network Engineer to own the complete networking stack of our GPU clusters — from the RDMA compute fabric to the data center perimeter to cross-site and cloud connectivity. You will design the network architecture for new large-scale clusters, lead its bring-up, and operate it in production. This role owns everything from the NIC port outward: backend InfiniBand/RoCE fabrics, frontend and storage networks, out-of-band management, firewalls and edge security, and the links that connect our clusters to each other and to the cloud. You will work alongside our Hardware Operations team (physical install) and Systems & Platform team (host software stack) to deliver a fabric that never becomes the bottleneck.

## Key Responsibilities

- Fabric Architecture & Cluster Network Design
- Greenfield Design: Architect the full network for new GPU clusters — compute/backend fabric, storage network, in-band frontend, out-of-band management (BMC/IPMI), and perimeter — including topology (fat-tree/Clos, rail-optimized), oversubscription analysis, and growth planning.
- RDMA Fabric Selection: Design and justify InfiniBand (NDR/XDR, Quantum-class) vs. lossless Ethernet/RoCE v2 (Spectrum-X, Tomahawk-class) fabrics for training and inference workloads, including scale-up domains (NVLink/NVSwitch, NVL72-class rack systems).
- Hardware & Physical Plant: Specify switches, NICs (ConnectX/BlueField), optics (400/800G OSFP/QSFP-DD), and cabling plans; produce the port maps and cable schedules Hardware Operations executes.
- Logical Design: Own IP addressing plans, VLAN/VRF segmentation, and BGP/EVPN-VXLAN underlay-overlay architecture.
- RDMA & Performance Engineering
- Lossless Ethernet: Configure and validate RoCE v2 at scale — PFC, ECN/DCQCN congestion control, QoS/DSCP classification, buffer tuning — and prove no-drop behavior under full training load.
- InfiniBand Operations: Run subnet managers (UFM/OpenSM), adaptive routing, SHARP in-network aggregation, partition keys, and virtual-lane QoS.
- Fabric Validation: Benchmark and sign off new fabrics with perftest/ib_write_bw and nccl-tests/rccl-tests; verify GPUDirect RDMA paths and topology-aware placement with the Systems & Platform team.
- Performance Debugging: Root-cause fabric-level issues — congestion trees, ECMP polarization, link flaps, degraded optics, straggler nodes caused by the network.
- Production Network Operations & Security
- Routing & Switching: Configure and maintain BGP, OSPF, ECMP, and EVPN-VXLAN across multi-vendor NOSes (Arista EOS, NVIDIA Cumulus, Cisco NX-OS, Junos, SONiC).
- Perimeter & Security: Own firewalls, VPNs (WireGuard/IPsec), NAT, ACLs, and network segmentation between production, research, and management domains.
- Network as Code: Generate configs from a source of truth (NetBox), deploy via Ansible/Nornir/NAPALM with Git-reviewed, CI-validated changes and zero-touch provisioning for new switches.
- Telemetry: Build fabric observability — streaming telemetry/gNMI, sFlow, optics DOM, buffer/drop counters — into Prometheus/Grafana with actionable alerting.
- Lifecycle & On-Call: Run switch/NIC firmware upgrade campaigns with minimal workload disruption, and serve as escalation point for network incidents.
- Cross-Cluster & Cloud Connectivity
- Inter-Site Links: Design and operate dark fiber and DWDM capacity between sites, including latency budgeting and carrier/IX peering.
- Hybrid Cloud: Architect AWS Direct Connect / Azure ExpressRoute / GCP Interconnect links, VPC and Transit Gateway designs, and VPN failover paths.
- Data Movement: Engineer WAN QoS and traffic paths for cross-cluster replication, dataset transfer, and checkpoint traffic.

## Qualifications

- Must-Haves:
- 7+ years designing and operating production data center networks, including at least one large-scale HPC/AI cluster fabric (InfiniBand or RoCE v2) you designed or ran.
- Expert-level routing and switching: BGP (including EVPN-VXLAN), OSPF, ECMP, VRF segmentation, across at least two major vendor platforms.
- Deep RDMA expertise: lossless RoCE v2 tuning (PFC/ECN/DCQCN) and/or InfiniBand fabric management (subnet managers, adaptive routing, SHARP).
- Hands-on experience with 100–800G optics, high-radix switching, and Clos/rail-optimized topologies.
- Production network security experience: enterprise firewalls, site-to-site and remote-access VPNs, segmentation design.
- Network automation proficiency: Python plus Ansible (or Nornir/NAPALM), with Git-based configuration workflows.
- Working knowledge of the host-side RDMA stack (MOFED/DOCA, NIC tuning, GPUDirect) and how NCCL/RCCL collectives map onto physical fabric.
- Cloud networking experience: VPC design and dedicated interconnects (Direct Connect/ExpressRoute class).
- Nice-to-Haves:
- Dark fiber / DWDM procurement and operations experience.
- BlueField DPU or SmartNIC deployments.
- Experience supporting distributed training at 1,000+ GPU scale, or multi-cluster/cross-site training.
- Kubernetes networking for GPU serving (CNI, SR-IOV, Multus).
- Expert certifications (CCIE/JNCIE) or NVIDIA networking certification (InfiniBand/Spectrum-X/UFM).

## BENEFITS INCLUDE

- Medical, dental, and vision insurance
- 401k plan
- Daily lunch, snacks, and beverages
- Flexible time off
- Competitive salary and equity

## EQUAL OPPORTUNITY

Sciforium is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.

## About Sciforium

## Company Overview
- **One-liner**: Sciforium is building a vertically integrated AI infrastructure platform that owns its hardware (AMD GPUs) to deliver cost-effective, high-performance inference and foundation model training across text, image, video, and audio modalities.
- **Entity Type**: Private (Seed Stage)
- **Headquarters**: San Francisco, California, United States
- **Founded**: 2024
- **Founders**: Hassan Akbari

## Core Business
- **Primary Industry**: AI Infrastructure / Generative AI
- **Target Customers**: B2B; AI teams and enterprises that need scalable, multimodal AI inference and model serving without managing their own infrastructure.
- **Mission**: To rebuild AI serving infrastructure from the ground up—owning the hardware and optimizing the entire pipeline end to end—so that any team, regardless of size or budget, can access the best AI capabilities across every modality without compromise.

## Products & Services
- **AI Inference API**: A drop-in replacement for the OpenAI API format, supporting streaming, tool use, structured outputs, and async generation. Runs on Sciforium’s own AMD hardware for lower cost and stronger privacy.
- **Evaluation Platform**: Built-in pipelines to monitor model performance in real time, catch regressions, and benchmark across models.
- **Native Agents Infrastructure**: Serverless platform for running AI agents at scale without managing servers.
- **Model Library**: Access to state-of-the-art open-source models across text, image, video, and audio (e.g., DeepSeek, Wan2, speech models).

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Total Funding of $3.9M (Seed round closed June 2024)
- **Notable Investors/Partners**: Backed by AMD and SignalFire
- **Growth Signals**: Headcount grew 160% YoY to 8 employees; 10 active job postings as of mid-2025; 99.98% uptime claimed; N+1 power and N+2 cooling redundancy with liquid-cooled infrastructure.

## Competitive Advantages
- **Vertical Integration**: Owns its own AMD hardware and runs its own data centers, removing intermediaries and markups—leading to lower costs and predictable performance.
- **Multimodal Native**: Built from the ground up to handle text, image, video, and audio in a single API, unlike many competitors that focus on text-only.
- **Privacy & Control**: By running on dedicated infrastructure (not shared servers), customers get stronger data privacy guarantees.
- **High Ambition Culture**: Team includes alumni from Google DeepMind, Microsoft, Amazon, Snowflake, Qualcomm, and Columbia University.

## Strategic Focus
- **Infrastructure Ownership**: Continuing to invest in its own AMD GPU clusters and data center operations to maintain cost and performance advantages.
- **Multimodal Expansion**: Scaling support for all data types (text, image, video, audio) with a single API.
- **Agent Readiness**: Building native support for AI agents at scale.
- **Open-Source Ecosystem**: Supporting the latest open-source models on day one.

## Why Work Here
- **Culture**: Highly independent, self-motivated, and creative environment. Small enough that your work is visible from day one. Principles include relentless quality, outcome ownership, and high ambition.
- **Work Policy**: Hybrid and in-office roles available. Offices in San Francisco (HQ) and Los Altos, California.
- **Team**: Small, high-caliber team with deep experience from Google DeepMind, Snowflake, Amazon, Qualcomm, and other top AI/infra companies.
- **Perks**: Work on hard infrastructure problems that matter, at a company backed by AMD and SignalFire. Opportunity to shape the foundation of AI infrastructure from an early stage.

## Sources
1. [sciforium.com](https://sciforium.com/)
2. [sciforium.com/company](https://sciforium.com/company)
3. [linkedin.com/company/sciforium](https://www.linkedin.com/company/sciforium)
4. [builtin.com/company/sciforium](https://builtin.com/company/sciforium)
5. [jobs.ashbyhq.com/sciforium](https://jobs.ashbyhq.com/sciforium)

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