Teams at Neysa

Own the Velocis AI cloud product ecosystem, including strategy, roadmap, prioritization, specifications, platform launches, and product economics. Lead a team of product managers, partner with engineering and go-to-market teams, support enterprise GPU offtake opportunities, and translate customer requirements into scalable platform capabilities. Drive GPU utilization, margins, tenant density, onboarding, reliability, adoption, and enterprise expansion.

Designs, deploys, operates, and optimizes NVIDIA and AMD GPU clusters for LLM training, inference, and HPC workloads. Responsibilities include Linux administration, kernel and driver tuning, Kubernetes orchestration, CUDA and GPU networking configuration, Slurm and MPI operations, infrastructure automation, monitoring, incident analysis, and customer support. The role owns deployments from architecture through production acceptance and requires strong cross-layer debugging, documentation, and collaboration skills.

Manage and troubleshoot Linux systems, storage, backup, hardware, applications, and infrastructure in a 24×7 data center environment. Resolve critical incidents and escalations, maintain availability and SLA compliance, support L1 teams, document procedures, and drive automation and service improvements. The role requires expertise in Linux, networking, storage, scripting, containers, orchestration, backup technologies, and infrastructure management.