GPU Solutions Architect - Cloud

Job Title: GPU Solutions Architect - Cloud

Location: Remote, US (Preferred: Santa Clara, CA)

Locations:

• Santa Clara, CA
• Remote (CA, WA, OR, TX)

Duration: 1 Year+

# of Roles: 3

Important Details

• Position can be fully remote within the US.
• Candidates near Santa Clara, CA are preferred.
• Overtime may be required, including weekends when necessary.
• Occasional travel is required.
• Expected contract duration is 1 year.

Required Qualifications

• BS, MS, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, Physics, or related discipline (or equivalent experience).
• 8+ years of experience in:
• Production Infrastructure
• Cloud Engineering
• Solutions Architecture
• Site Reliability Engineering (SRE)
• HPC Environments
• Similar technical disciplines OR
• 5+ years of exceptional specialist-level experience supporting large-scale GPU or AI infrastructure.

Technical Expertise: Experience building, operating, and optimizing distributed infrastructure in production environments. Deep hands-on expertise in one or more of the following:

GPU Infrastructure:

• DCGM
• BMC / Redfish
• Firmware Lifecycle Management
• Driver Lifecycle Management

Networking

• InfiniBand
• High-Speed Ethernet
• NCCL
• UFM

High-Performance Storage

• Lustre
• IBM Storage Scale (GPFS)
• WEKA
• VAST Data
• Similar Enterprise Storage Platforms

Platform Experience

Hands-on experience with:

• Kubernetes
• Slurm
• GPU Scheduling
• Multi-Tenancy Architecture

Observability

• Prometheus
• Grafana
• OpenTelemetry

Automation & Infrastructure as Code

• Terraform
• Ansible
• Argo CD
• Similar Automation Frameworks

Operating Systems & Scripting

• Linux Administration
• Python
• Bash
• Comparable scripting languages

Soft Skills

• Strong root-cause analysis and troubleshooting skills.
• Ability to communicate complex technical findings clearly.
• Experience leading technical initiatives without direct authority.
• Strong customer-facing communication skills.
• Ability to manage multiple partner engagements simultaneously.

Preferred Qualifications

Candidates will stand out if they have:

• Experience operating GPU cloud environments under production workloads.
• Experience managing large-scale AI platforms or HPC environments.
• Built or improved 24x7 operational support functions.
• Experience with:
• Observability platforms
• Incident management
• Problem management
• On-call systems

Highly Desired

Hands-on experience with:

• GB200 NVL72
• GB300 NVL72
• Spectrum-X
• UFM
• Base Command Manager
• Mission Control
• GPU Operators
• Network Operators