×
Register Here to Apply for Jobs or Post Jobs. X

Principal Engineer, Hardware Design - Networking

Job in Town of Texas, Marathon County, Wisconsin, USA
Listing for: Celestica Inc.
Full Time position
Listed on 2026-10-14
Job specializations:
  • Engineering
    Systems Engineer, Hardware Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 240000 USD Yearly USD 180000.00 240000.00 YEAR
Job Description & How to Apply Below
Location: Town of Texas

Select how often (in days) to receive an alert:

Principal Engineer, Hardware Design - Networking

Date: Aug 27, 2026

Location: Remote Employee US, TX, US

Req
Region:
Americas
Country: USA
State/Province:
New Hampshire
City:
Remote Employee US

Summary

Celestica is seeking a Principal Hardware Systems Architect for Networking Platforms to provide senior technical leadership for the architecture and development of next-generation AI, cloud, and high-performance data center networking platforms.

This role will lead networking-platform architecture spanning high-performance Ethernet and Infini Band-class fabrics, switching systems, NICs/DPUs, high-speed Ser Des, optical and electrical interconnects, and scale-out network architectures, while collaborating with peer domain architects and engineering leaders to define complete rack and multi-rack systems incorporating compute, power, thermal, mechanical, firmware, and system-management technologies.

This is a system and platform architecture role, not an ASIC/chip-design role or enterprise IT/network-operations role. The successful candidate will operate above the component level, translating customer requirements, technology roadmaps, and AI workload needs into scalable networking-platform architectures.

A critical aspect of the position is understanding that next-generation AI networking cannot be optimized independently from compute. The Network Architect will partner closely with Celestica’s Compute Architect and other domain experts to optimize the complete AI system from compute connectivity through rack and multi-rack network fabrics.

Skills & Responsibilities:
  • Define architecture for next-generation AI, cloud, hyperscale, and high-performance data center networking platforms.
  • Own architectural definition of:
    • Ethernet and Infini Band-class networking
    • Switch architectures
    • Switching silicon/NPU integration
    • NIC, SmartNIC, SuperNIC, and DPU architectures
    • High-speed Ser Des
    • 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.
Experience Requirements
  • 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.
  • Deep knowledge of Ethernet/Infini Band, switch architectures, NICs/DPUs, PCIe, Ser Des, and optical/electrical interconnects.
  • Strong understanding of switching NPUs/ASICs, 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.
Typical Education &

Preferred Qualifications
  • 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…
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary