Senior Solutions Engineer, AI Infrastructure
Core
Customer-facing technical role designing, evaluating, and deploying infrastructure for large-scale AI, HPC, analytics, and data-intensive workloads.
Role type
Senior Solutions Architect (AI Infrastructure)
Builds
GPU clusters, high-performance storage systems, Kubernetes platforms, distributed training environments, inference platforms, and data pipelines.
Domain
AI Infrastructure, HPC, Cloud, Distributed Systems
Deliverable
production ML models
Required skills
Linux kernel internals, distributed systems (PAXOS, raft), storage implementations, high-performance networking, Kubernetes, GPU infrastructure, MLOps, systems debugging
Preferred skills
Large-scale GPU clusters, petabyte-scale storage, orchestration systems (Slurm, Ray, Spark), distributed filesystems (Lustre, Ceph, Weka), InfiniBand/RoCE/RDMA, CUDA/NCCL
Technologies
Kubernetes, Slurm, Ray, Spark, Lustre, Ceph, Weka, BeeGFS, GPFS, VAST, InfiniBand, RoCE, RDMA, NVIDIA/Mellanox, CUDA, NCCL, DCGM, GPUDirect
