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System Architect - AI and Rack-Scale Systems Architecture
Job in
Bend, Deschutes County, Oregon, 97707, USA
Listed on 2026-06-14
Listing for:
Hyve Solutions
Full Time
position Listed on 2026-06-14
Job specializations:
-
IT/Tech
Systems Engineer, Cloud Computing: Infrastructure & Operations, Hardware Engineer, Data Engineering
Job Description & How to Apply Below
@HYVE Solutions, missions to help customers, business partners, and employees achieve success through shared goals, strategies, resources, and technology solutions.
Job SummaryHyve 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.
- 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 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.
$206K to $282K
EEO StatementQualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
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