Hybrid HPC Systems Architect - GPU Cloud for AI

The Consensus; San Jose, Northern (CA, KY); Hybrid; USD 180,000 - 240,000; Full time

Benefits offered by this job

Cash compensation

Equity compensation

Health, dental and vision coverage

Wellness stipend

Job summary

Lambda is seeking a Senior HPC Systems Architect to lead the design, development, and testing of large-scale, liquid-cooled HPC infrastructures for AI workloads. This role demands deep expertise in GPU clusters, high-performance networking, and scalable storage, with a proven track record of architectural leadership.

The position involves guiding cross-functional teams, creating detailed architectural plans, and mentoring engineers to uphold best practices in HPC architecture.

Qualifications

• 8+ years of experience designing and architecting large-scale HPC and distributed computing systems.
• Expert-level knowledge of HPC hardware including GPU clusters, compute nodes, high-speed networking (InfiniBand, Ethernet), and distributed storage.
• Hands-on experience with direct-to-chip liquid cooling systems.
• Proven expertise in creating robust performance benchmarks, capacity planning, and system validation.
• Exceptional skills in system architecture, design documentation, and technical specifications.
• Ability to work collaboratively across teams, ensuring alignment of technical solutions with business objectives.
• Self-motivated, strategic thinker with strong analytical and problem-solving capabilities.

Responsibilities

• Design and architect advanced HPC systems optimized for large-scale computational workloads and AI applications.
• Collaborate with internal teams and stakeholders to define system requirements and performance goals.
• Develop comprehensive testing frameworks to rigorously assess system performance, scalability, and reliability.
• Evaluate emerging technologies and architectural approaches to continuously enhance infrastructure capabilities.
• Create detailed architectural plans, documentation, and blueprints to guide implementation teams.
• Provide technical leadership and mentoring to engineering teams, fostering best practices in HPC architecture.

Skills

HPC systems design

GPU clusters

High-speed networking

Liquid cooling

System validation

Technical leadership

Tools

Ansible

Terraform

Kubernetes

Job description

Lambda is seeking a Senior HPC Systems Architect to lead the design, development, and testing of large-scale, liquid-cooled HPC infrastructures for AI workloads. This role demands deep expertise in GPU clusters, high-performance networking, and scalable storage, with a proven track record of architectural leadership.

The position involves guiding cross-functional teams, creating detailed architectural plans, and mentoring engineers to uphold best practices in HPC architecture.