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Sciforium

GPU Cluster Engineer, Hardware Operations

San Jose, CA
Salary
$150K - $180K
Level
Mid
Work type
On-site · San Jose

Not stated in the posting: visa.

Open. First seen 2 October 2026.

About the role

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 dedicated Hardware Operations Engineer to own the physical health and foundational infrastructure of our GPU clusters. You will be the primary custodian of our compute hardware, responsible for everything from data center vendor coordination up to the base Linux OS layer. You will ensure our research and product teams have a stable, secure, and fully operational physical environment to run their demanding compute workloads on.

Key Responsibilities

  • System Health & Hardware Reliability
  • On-Call Response: Serve as the primary point of contact for physical system outages, hardware failures, and network interruptions to minimize downtime.
  • Cluster Monitoring: Proactively monitor hardware health, including GPU thermals, power draw, and physical system loads, catching anomalies before they impact active workloads.
  • Vendor Liaison: Work closely with data center facility staff and third-party hardware vendors to coordinate RMA processes, physical repairs, part replacements, and routine maintenance.
  • Hardware Deployment: Rack, cable, and lead the physical bring-up of new GPU nodes, ensuring power and network connectivity are fully integrated into the existing cluster.
  • Linux & Network Administration
  • OS Management: Install, patch, and maintain Linux operating systems (Ubuntu/CentOS/RHEL) across the cluster bare-metal servers.
  • Security & Access: Configure and maintain edge and internal networking, including firewalls, VPNs, and strict SSH access controls to secure our infrastructure.
  • Identity & Storage Management: Administer LDAP/Active Directory for centralized user authentication and ensure network storage systems (NFS/GPFS/Lustre) are reliably mounted and properly permissioned.

Qualifications

  • Must-Haves:
  • 3+ years of experience in Linux Systems Administration (deep knowledge of boot processes, systemd, disk management, etc.).
  • Strong background in server hardware troubleshooting, specifically within high-density environments (power, cooling, PCIe topologies).
  • Experience managing networking security (VPNs, iptables/firewalld, VLANs) and directory services (LDAP/FreeIPA/Active Directory).
  • Proficiency in Bash scripting for essential system automation.
  • Nice-to-Haves:
  • Experience using configuration management tools like Ansible, SaltStack, or Terraform for OS provisioning.
  • Familiarity with data center operations, cooling requirements for high-TDP accelerators (like NVIDIA B200 or AMD MI355x).

Benefits include

  • Medical, dental, and vision insurance
  • 401k plan
  • Daily lunch, snacks, and beverages
  • Flexible time off
  • Competitive salary and equity
Sciforium's standard text

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.

What this role asks for

Particular to this role

Active Directory

Rare in Sciforium's other 11 open postings.

92% of this description is written for the role. The rest is Sciforium's standard text, folded away below.

Read against Sciforium's other open postings on this site.

The team: Engineering HIRES STEADILY

This role is one of 12 open in Engineering. 3 were posted in the last 30 days and the oldest in November: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

Python (10 of 12), LLM (8 of 12), Machine Learning (8 of 12), CUDA (6 of 12), C++ (5 of 12), Kubernetes (5 of 12), PyTorch (5 of 12)

OTHER ROLES ON THIS TEAM

From the team and dates on Sciforium's own job board.

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