The opportunity
About the Team The Foundations team focuses on how model behavior changes as we scale models, data, and compute. The team studies the interactions between model architecture, optimization, and training data, and uses those insights to guide how new models are designed and trained.
What they're looking for
- Contribute to observability, correctness, and reliability of large-scale AI systems.
- Have experience building production inference systems, not just training or running models.
- Are comfortable with GPU-centric performance engineering, including memory: behavior and latency/throughput tradeoffs.
- Have worked on multi-GPU or distributed systems involving batching, scheduling, or runtime coordination.
