Senior Network HW System Engineer
Core
Design, validate, and optimize high-performance networking infrastructure for rack-scale and cluster-scale AI systems, ensuring reliability and scalability for hyperscale deployments.
Role type
Senior IC network hardware system engineer (AI fabrics)
Builds
Scalable, reliable, and high-performance AI networking fabrics for MAIA AI systems
Domain
AI infrastructure / Hyperscale datacenter networking
Deliverable
production ML models | infrastructure
Required skills
Network subsystem architecture (switches, NICs, PHYs, optics, SerDes), automated qualification frameworks, telemetry and diagnostics development, root-cause analysis, fleet monitoring solutions, technology tradeoff evaluation, Linux automation, EVT/DVT/PVT product management
Preferred skills
GPU/FPGA/TPU/AI accelerator system development, AI workload communication patterns, large-scale distributed AI training environments, optical transceiver architectures (DR4/DR8/FR4), silicon photonics, CMIS management frameworks, Ultra Ethernet Consortium technologies, 224G/448G ecosystem knowledge, hyperscale datacenter deployment experience
Technologies
Linux, SerDes, Optical transceivers, Silicon photonics, IEEE Ethernet, OIF, CMIS, Ultra Ethernet Consortium
Responsibilities
Develop automated qualification frameworks for rack and cluster-scale AI environments; Drive end-to-end architecture, integration, and deployment of networking infrastructure; Lead bring-up and optimization of network subsystems including switches, NICs, and optics; Develop telemetry and automation solutions to improve network resiliency and operational efficiency; Evaluate next-generation networking technologies for future AI workloads; Manage products through EVT, DVT, PVT, and production ramps
Seniority
Senior, hands-on IC
