System Architect - AI and Rack-Scale Systems Architect

Hyve Solutions transforms complex engineering challenges into production reality for technology innovators building AI, cloud, and connected infrastructure. As a US-based manufacturing partner, the company rapidly delivers fast, agile execution through deep technical partnerships and co-innovation, and supply chain clarity. Hyve’s integrated ODM, CM, and SI capabilities eliminate vendor complexity while accelerating time-to-market with single-partner accountability from design through scale. The company co-innovates with deep engineering expertise, treating customer success as its own while building tomorrow's digital infrastructure.

Responsibilities

• Lead the architectural design and development of scalable and robust AI and rack-scale systems, including hardware and software components.
• Evaluate, select, and integrate various AI acceleration technologies (e.g., GPUs, TPUs, FPGAs) and high-performance interconnects.
• Define system requirements and specifications, ensuring alignment with business objectives and industry best practices.
• Collaborate with engineering teams, vendors, and partners to ensure successful implementation and deployment of architectural solutions.
• Develop technical documentation, including architectural diagrams, design specifications, and implementation guides.
• Provide technical guidance and mentorship to junior architects and engineers.
• Stay abreast of emerging technologies and industry trends in AI, machine learning, and high-performance computing.
• Participate in pre-sales activities, including technical presentations and solution demonstrations to prospective clients.
• Troubleshoot complex system issues and provide expert-level support.
• Contribute to the development of intellectual property and innovative solutions.

Requirements

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related technical field.
• 10+ years of experience in system architecture, with a strong focus on AI, machine learning, and high-performance computing.
• Proven experience designing and implementing rack-scale systems, including compute, storage, and networking components.
• Deep understanding of AI/ML frameworks (e.g., TensorFlow, PyTorch) and their deployment on various hardware platforms.
• Expertise in GPU computing architectures (e.g., NVIDIA CUDA) and other AI accelerators.
• Strong knowledge of high-performance interconnect technologies (e.g., InfiniBand, Ethernet, NVLink).
• Experience with virtualization and containerization technologies (e.g., VMware, Kubernetes, Docker).
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) and their AI/ML services.
• Excellent communication, presentation, and interpersonal skills.
• Ability to work independently and as part of a cross-functional team.
• Strong problem-solving and analytical abilities.

Benefits

• Health, dental, and vision insurance
• Flexible Spending Account (FSA)
• Health Savings Account (HSA)
• Mental Health Care
• 401K with company match
• Paid holidays, vacation, and sick days
• Tuition reimbursement
• Perks at Work program
• LEAP Program
• MyFlexPay