AI & Rack-Scale Data Center Architect

SYNNEX Corporation; Portland (OR); On-site; USD 140,000 - 200,000; Full time

Benefits offered by this job

Health insurance

401(k) with match

Tuition reimbursement

Paid holidays

Job summary

Hyve Solutions Corporation is seeking a System Architect to design AI-optimized rack-scale data center systems. You will define power, cooling, networking, and storage strategies to support high-density AI workloads and high-performance computing.

You will evaluate hardware components and drive integration of complex hardware and software, providing technical leadership to ensure scalable, reliable operations. This role demands strong collaboration with engineering teams.

Qualifications

• Bachelor's or Master's degree in CS, ECE, or related field.
• Proven experience in Architecting Systems, Data Center Architecture.
• Strong understanding of Infrastructure Architecture principles.
• Experience with hardware development and AI/ML focused systems.
• Experience with Data Center Management and operational best practices.
• Ability to work independently and collaboratively in a fast-paced environment.

Responsibilities

• Lead architectural design of AI-optimized rack-scale data center systems.
• Define data center architecture strategies including power, cooling, networking, and storage.
• Evaluate hardware components (servers, GPUs, interconnects, storage) for performance/efficiency.
• Integrate complex hardware and software systems for scalability.
• Provide leadership on data center infrastructure management best practices.

Skills

System Architecture

Data Center Architecture

AI/ML platforms

Hardware Development

Rack-scale design

Networking topologies

Power & cooling

Communication skills

Education

Bachelor's or Master's degree in Computer Science, Electrical Engineering, or related field

Job description

Hyve Solutions Corporation is seeking a System Architect to design AI-optimized rack-scale data center systems. You will define power, cooling, networking, and storage strategies to support high-density AI workloads and high-performance computing.

You will evaluate hardware components and drive integration of complex hardware and software, providing technical leadership to ensure scalable, reliable operations. This role demands strong collaboration with engineering teams.