| Location | Fremont, California |
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 dep 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.
Job SummaryWe are seeking a highly skilled and innovative System Architect specializing in AI and Rack-Scale Systems to join Hyve Corporation. This role will be responsible for designing, developing, and implementing cutting-edge AI and high-performance computing solutions, driving technological advancements and supporting our partners' complex infrastructure needs.Job 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.Job Qualifications* 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.
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