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Senior HPC Architect, Automation and At-Scale Deployment

US, CA, Santa Clara💼 Full-time💰 $184,000–$184,000🗓 2026-09-24 → 2026-09-25

Core

Architect and engineer large-scale GPU compute clusters, implementing at-scale system administration and tuning for high-performance computing and deep learning workloads.

Role type

Senior HPC Architect (Infrastructure & Systems)

Builds

Large-scale GPU-accelerated compute platforms and optimized workflows for scientific research and enterprise AI.

Domain

High-Performance Computing (HPC), Accelerated Computing, Datacenter Infrastructure

Deliverable

infrastructure

Required skills

Accelerated computing scheduling, I/O stacks, C/C++/Python/Bash scripting, parallel filesystems, system administration, performance tuning

Preferred skills

Deep Learning frameworks, telemetry and visualization pipelines, container technology, Linux performance tools

Technologies

GPU compute platforms, parallel filesystems, container technology, Linux

Responsibilities

Provide engineering solutions to operationalize GPU computing products and software stacks; act as an internal reference for system administration and at-scale system analysis; architect, develop, and bring up large-scale performance platforms with HPC and systems specialists.

Seniority

Senior, hands-on IC

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