Member of Technical Staff - ML Infrastructure Engineer

Voio is a healthcare AI company building foundation models for medicine using large multimodal medical datasets. The ML Infrastructure Engineer will own GPU cluster operations, scalable medical data pipelines, experiment tooling, observability, and infrastructure reliability for the research team.

Responsibilities:

• GPU cluster operations. Run and scale our GPU cluster across cloud providers. Job orchestration with SkyPilot, multi-node training reliability, capacity planning, and cost optimization. You'll be the person who makes a 64-GPU run "just work."
• Data infrastructure at scale. Manage petabyte-scale medical imaging and clinical data, such as DICOM, NIfTI, parquet, raw EHR. Build and maintain the data pipeline tiers (object store → NFS → NVMe scratch) so GPUs are never starved
• Experiment tracking and developer experience. Own our W&B integration. Build the abstractions, CLIs, and templates that turn a complex distributed training job into a one-line submission. Make it easy for researchers to launch, track, compare, and resume experiments
• Observability and on-call. Grafana dashboards, structured alert tiers routed through Slack and PagerDuty. Catch problems before researchers do
• Reliability culture. Postmortems, runbooks, sane defaults. The bar is that no researcher is ever blocked on infrastructure for more than a few minutes