Principal AI Network HW Systems Engineer
Core
Own AI networking architecture for MAIA training and inference systems across scale-up and scale-out deployments.
Role type
Principal AI Network HW Systems Engineer
Builds
AI networking architecture, switches, NICs, PHYs, optics, and high-speed SerDes technologies for MAIA systems.
Domain
AI infrastructure, high-speed networking, silicon photonics, hyperscale datacenter hardware.
Deliverable
production ML models | infrastructure
Required skills
AI accelerator system development (GPU/FPGA/TPU), high-speed interface architecture (SerDes), optical transceiver design (DR4/DR8/FR4), DSP architecture, optical link budget analysis, silicon photonics, IEEE Ethernet standards, OIF specifications, CMIS management frameworks, Linux environments, automation frameworks.
Preferred skills
collective communication efficiency optimization, latency and bandwidth utilization analysis, congestion management, large-scale distributed AI training environment experience, product ramp management (EVT/DVT/PVT).
Responsibilities
Lead integration and qualification of network components; define validation strategies for functionality, interoperability, and stress testing; optimize AI fabric performance; drive debugging and telemetry solutions.
Seniority
Principal, hands-on IC with strategy & mentorship
