Founding ML Infra Engineer — Large-Scale Video Models

Wintermeyer Ventures; San Francisco (CA); On-site; USD 200,000 - 375,000; Full time

Job summary

Wintermeyer Ventures is seeking a founding training infrastructure engineer for an early-stage robotics AI company in San Francisco. You will own the compute used by the research team, building GPU and data clusters largely from scratch and shaping the pace of model iteration as runs scale to hundreds of GPUs.

You will own distributed training end-to-end, from parallelism strategy to data path and fault-tolerance, delivering production-grade infra for fast experimentation and reliable research.

Qualifications

• 3+ years building or operating distributed training infra for large-scale pretraining.
• Expertise across training infra stack: distributed training, storage-to-GPU paths, fault tolerance, evaluation systems, observability.
• Experience with multi-GPU or multi-node setups at 100+ GPUs.
• Hands-on with large-scale video or world models (vision-language-action, image-to-video, or robot policies).
• Production experience with PyTorch or JAX and strong Python fundamentals.
• Startup environment experience or sole ownership of training infra is a plus.
• Eligible to work in the United States without visa sponsorship.

Responsibilities

• Own distributed training end-to-end: parallelism strategy, multi-node performance, scaling efficiency, and GPU capacity.
• Build the full data path from storage to GPU, including high-throughput loaders and sampling infrastructure.
• Design fault tolerance for long-running training jobs: checkpointing and automatic restart.
• Build an evaluation harness that runs automatically against checkpoints.
• Own observability and reproducibility: experiment tracking, environment pinning, profiling.
• Translate research requirements into production-grade infra for fast experimentation.

Skills

Distributed training infra

Python fundamentals

GPU optimization

Observability

Experiment tracking

Tools

PyTorch

JAX

Job description

Wintermeyer Ventures is seeking a founding training infrastructure engineer for an early-stage robotics AI company in San Francisco. You will own the compute used by the research team, building GPU and data clusters largely from scratch and shaping the pace of model iteration as runs scale to hundreds of GPUs.

You will own distributed training end-to-end, from parallelism strategy to data path and fault-tolerance, delivering production-grade infra for fast experimentation and reliable research.