Job description

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: 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. Job 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. Job Qualifications:** * 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. 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.

Requirements

Must-haves

Job 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.
Job Qualifications:**
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.
What’s in it for you Benefit Insurance
Flexible Spending Account (FSA)
Health Savings Account (HSA)
Paid Holidays, Vacation & Sick Days
Tuition Reimbursement

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aiagilemachine learningml

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

401k