Lead AI & Rack-Scale Systems Architect

SYNNEX Corporation; Portland (OR); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Insurance

HSA/FSA

401K with match

Paid holidays, vacation & sick days

Tuition reimbursement

LEAP Program

MyFlexPay

Job summary

Hyve Corporation seeks a System Architect specializing in AI and Rack-Scale Systems to design and implement scalable AI/HPC solutions for complex infrastructure. The role involves leading architecture, evaluating acceleration technologies, and guiding cross-functional teams.

You will define system requirements, mentor engineers, and contribute to IP while staying ahead of AI and HPC trends. A strong background in AI frameworks and hardware accelerators is essential.

Qualifications

• 10+ years of system architecture experience with AI/ML & HPC
• Proven rack-scale systems design experience including compute/storage/networking
• Deep knowledge of AI frameworks and hardware accelerators

Responsibilities

• Lead architectural design of scalable AI and rack-scale systems
• Evaluate and integrate AI acceleration technologies and interconnects
• Define system requirements aligned with business goals
• Collaborate with vendors and engineers on implementations
• Produce architecture docs and implementation guides
• Mentor junior architects and engineers
• Stay updated on AI/ML trends and HPC innovations
• Contribute to pre-sales with technical demos and presentations
• Troubleshoot complex systems and provide expert support
• Help develop intellectual property and innovative solutions

Skills

AI/ML systems

Rack-scale design

GPU CUDA

Interconnect tech

Virtualization

Cloud platforms

Education

Bachelor's or Master’s in CS/EE

Tools

TensorFlow

PyTorch

Job description

Hyve Corporation seeks a System Architect specializing in AI and Rack-Scale Systems to design and implement scalable AI/HPC solutions for complex infrastructure. The role involves leading architecture, evaluating acceleration technologies, and guiding cross-functional teams.

You will define system requirements, mentor engineers, and contribute to IP while staying ahead of AI and HPC trends. A strong background in AI frameworks and hardware accelerators is essential.