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  

• Perks at Work 

• LEAP Program  

• MyFlexPay 

We are an Equal Opportunity Employer and do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, or any other legally protected status. We are committed to creating an inclusive environment for all employees.