System Architect - AI and Rack-Scale Systems Architect
Hyve Company Overview
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 Summary
We 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.
What’s in it for you
Benefit Insurance
- Flexible Spending Account (FSA)
- Health Savings Account (HSA)
- Mental Health Care
- 401K with match
- Paid Holidays, Vacation & Sick Days
- Tuition Reimbursement
- LEAP Program
- MyFlexPay