MATERIAL develops HYBRID3D™, a manufacturing platform that 3D-prints custom-shaped, full-stack batteries directly into the structure of any device.
About the role Own the network powering large-scale AI training and inference. Your expertise spans hardware and software including rack design, fabric topology, thermal management, collective communications, telemetry, and performance across thousands of compute nodes. What you'll do - Design rack layouts and cluster topologies - Inform thermal and power planning with facilities teams - Architect the network fabric - Tune collective communications for training and inference workloads - Build telemetry and observability - Drive performance, benchmarking, and incident response What you'll need - BS in CS, EE, or related field, or equivalent production experience - Rack-to-cluster deployment experience: cabling, power, and thermal management - Expertise in network fabric architecture across RoCEv2 and InfiniBand: routing, load balancing, topology, queueing, congestion control, and QoS - Experience tuning collective communications: NCCL, RCCL, or vendor-specific libraries - Experience with network telemetry: NIC counters, switch streaming (gNMI, sFlow, INT), and collective-level metrics - Experience operating large-scale GPU or ASIC clusters in production What we offer - Top-tier compensation structured to recognize and retain the best talent - Meaningful equity - Comprehensive medical, dental, vision, life, and disability insurance - Parental leave for all new parents, including adoptive and surrogate journeys - Flexible PTO - Paid Holidays - Relocation support Equal Employment Opportunity We're an Equal Opportunity Employer and do not discriminate on the basis of any protected status under applicable law.