Material Group

Solutions Engineer owning customer-facing technical engagements from pre-sales discovery through deployment, helping AI/ML teams architect and productionize infrastructure solutions. The role combines solution architecture, technical demonstrations, POCs, and close partnership with Sales, Product, and Engineering.

Own infrastructure security for the systems that train and serve frontier models, spanning Kubernetes, cloud infrastructure, identity, supply chain, runtime defense, and detection and response. This role protects model weights, training data, and thousands of compute nodes across multiple clouds.

Own and evolve the infrastructure platform powering an accelerator cloud, from bare-metal provisioning and Kubernetes to scheduling, automation, and observability. This role keeps thousands of compute nodes operating as one reliable, multi-tenant production system.

Build and optimize the inference runtime that powers frontier AI models at production scale, focusing on throughput, latency, and cost across thousands of nodes. This highly systems-oriented role spans model serving, accelerator programming, kernels, scheduling, and performance infrastructure.