Note: The job is a remote job and is open to candidates in USA. Celestica provides hardware platform and supply chain solutions for complex technology products. The company is seeking a Principal Hardware Systems Architect to lead the architecture and development of next-generation AI, cloud, and high-performance data center networking platforms. The role focuses on defining scalable networking architectures and collaborating across compute, power, thermal, mechanical, firmware, and system-management domains.
Responsibilities
- Define architecture for next-generation AI, cloud, hyperscale, and high-performance data center networking platforms
- Own architectural definition of: + Ethernet and InfiniBand-class networking + Switch architectures + Switching silicon/NPU integration + NIC, SmartNIC, SuperNIC, and DPU architectures + High-speed SerDes + Optical and electrical interconnects + Scale-out network fabrics + Network topology + Inter-rack connectivity
- Establish networking-system requirements, interfaces, partitioning, and architectural tradeoffs
- Evaluate alternatives based on bandwidth, latency, congestion, power, thermal density, reliability, cost, scalability, serviceability, and manufacturability
- Develop reusable networking-platform architectures and building blocks that can be leveraged across customers and programs
- Lead early architecture studies, feasibility assessments, proof-of-concept development, and platform definition
Skills
- * BS or MS in Electrical, Computer Engineering, Computer Science, Physics, or a related field
- * Typically 12+ years in hardware development with strong focus on networking, switching, AI, or cloud platforms
- * Proven experience defining system architecture for complex networking platforms
- * Deep knowledge of Ethernet/InfiniBand, switch architectures, NICs/DPUs, PCIe, SerDes, and optical/electrical interconnects
- * Strong understanding of switching NPASICs, CPUs, accelerators, PCIe/CXL, and system integration
- * Solid grasp of networking, compute, power, thermal, and mechanical architecture interplay
- * Track record of taking complex platforms from early architecture to production
- * Ability to evaluate tradeoffs across bandwidth, latency, cost, power, thermal, reliability, and schedule
- * Excellent technical communication and presentation skills
- * Proven ability to influence cross-functional technical teams without direct authority
- * Direct experience engaging with customers, silicon vendors, and partners
- * Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or related technical field. Educational Requirements may vary by geography
- * Architecting networking systems for large-scale AI training or inference clusters
- * High-performance Ethernet or InfiniBand architectures
- * Modern switching silicon, NIC, SmartNIC, SuperNIC, or DPU technologies
- * 800G, 1.6T, and next-generation high-speed networking
- * Advanced optics and evolving electrical/optical interconnect architectures
- * GPU scale-up fabrics and accelerator interconnect architectures
- * Rack-scale and multi-rack AI infrastructure
- * High-power, liquid-cooled networking or compute systems
- * Collaboration with hyperscale or cloud service provider customers
- * Developing reusable platform architectures
- * Contributing to roadmaps, standards, patents, or advanced development
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