Senior Network HW System Engineer
Core
Develop and integrate scale-up and scale-out networking solutions for MAIA AI training and inference systems, translating AI/ML workload requirements into system-level networking specs.
Role type
Senior IC network hardware system engineer (AI infrastructure)
Builds
Rack-scale and cluster-scale AI infrastructure for training and inference
Domain
AI/ML, High-Performance Computing, Data Center Networking
Deliverable
production ML models | infrastructure
Required skills
High-speed SerDes (112G/224G, PAM4), Optical interconnects (OSFP/QSFP-DD, AOCs, LPO, LRO, CPO), Silicon photonics, Ethernet switching, NICs, FPGA/GPU/TPU integration, Telemetry & diagnostics, Test automation, Linux scripting, Signal/link integrity analysis
Preferred skills
AI workload communication patterns, Network collectives, Traffic profiling, IEEE Ethernet/OIF/CMIS standards, Hyperscale datacenter deployment
Technologies
PAM4 SerDes, DAC/AEC, OSFP/QSFP-DD, LPO, LRO, CPO, Silicon photonics, DR4/DR8/FR4, Linux, FPGA, GPU, TPU
Responsibilities
Evaluate architecture tradeoffs across performance, reliability, power, and cost; Develop end-to-end validation strategies for functionality, performance, and stress; Collaborate across silicon, firmware, hardware, software, and OS teams; Develop telemetry, diagnostics, and network health monitoring solutions
Seniority
Senior, hands-on IC
