System Architect - AI and Rack-Scale Systems Architecture

Hyve Solutions • Tracy, CA

3d

About The Position

Hyve Solutions Corporation is seeking a highly skilled System Architect specializing in AI and Rack-Scale Systems Architecture. This role involves designing and optimizing cutting-edge data center infrastructure to support advanced AI workloads and high-performance computing, driving innovation in hardware and systems integration.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
• Proven experience in Architecting Systems, particularly in Data Center Architecture and Data Center Infrastructure.
• Strong understanding of Infrastructure Architecture and Infrastructure Engineering principles.
• Extensive experience with Hardware Development and Systems Architecture, with a focus on AI/ML platforms.
• Demonstrated expertise in Data Center Management and operational best practices.
• Experience with complex system Integration, including hardware, software, and networking components.
• In-depth knowledge of rack-scale design, power delivery, cooling methodologies, and networking topologies for high-performance computing.
• Ability to work independently and collaboratively in a fast-paced, innovative environment.
• Excellent communication, presentation, and problem-solving skills.

Responsibilities

• Lead the architectural design and development of AI-optimized and rack-scale systems for data center environments.
• Define and implement data center architecture strategies, including power, cooling, networking, and storage, to support high-density AI deployments.
• Evaluate and select hardware components, including servers, GPUs, interconnects, and storage solutions, to meet performance and efficiency targets.
• Develop and manage the integration of complex hardware and software systems, ensuring seamless operation and scalability.
• Provide technical leadership and guidance on data center infrastructure management best practices.
• Collaborate with engineering teams on hardware development and system validation.
• Analyze emerging technologies and trends in AI, machine learning, and data center architecture to inform future system designs.
• Document architectural designs, specifications, and integration procedures.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior