GPU Fleet Engineer - ML Infra & Inference

Generalist AI; San Mateo (CA); Sur place; USD 185 000 - 235 000; Plein temps

Résumé du poste

Generalist is building large robot foundation models and relies on massive GPU infrastructure. You will own and optimize our GPU compute fleets and the data pipelines that feed both training and inference, ensuring researchers have fast, reliable access to resources.

We seek someone with deep experience in Slurm or Kubernetes for ML workloads, plus a strong background in the NVIDIA GPU ecosystem and high-scale data loaders, to run distributed, latency‑conscious systems across on‑prem and cloud

Qualifications

• Experience managing large GPU fleets for distributed training or inference.
• Deep knowledge of ML workload orchestration with Slurm or Kubernetes.
• Experience building high-scale ML data loaders and transport systems.

Responsabilités

• Owning our GPU compute fleets.
• Ensuring GPUs are easy for researchers to use and highly utilized.
• Optimizing ML data loading, transport and storage in distributed environments.
• Orchestrating robot inference fleets.

Connaissances

GPU fleet management

Kubernetes for ML

Slurm orchestration

ML data loaders

NVidia GPU ecosystem

Description du poste

Generalist is building large robot foundation models and relies on massive GPU infrastructure. You will own and optimize our GPU compute fleets and the data pipelines that feed both training and inference, ensuring researchers have fast, reliable access to resources.

We seek someone with deep experience in Slurm or Kubernetes for ML workloads, plus a strong background in the NVIDIA GPU ecosystem and high-scale data loaders, to run distributed, latency‑conscious systems across on‑prem and cloud