Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform. Backed by Battery, Insight and Kleiner Perkins.
About the role
As a Senior Staff Software Engineer, you'll work on the systems behind all of this, solving the hardest technical problems and shaping where AI Runtime goes next. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- Drive AI Runtime's architecture and lead Databricks' long-term technical direction in AI training infrastructure
- Define the reliability and observability strategy for a fleet that keeps growing in scale and complexity
- Shape AI Runtime's developer experience for people and agents, so even the largest training jobs feel as simple as a first experiment
- Anticipate industry trends and choose the technical bets that prepare AI Runtime for new GPU generations and workload types
- Take on the hardest multi-node training problems yourself, from orchestration and GPU scheduling to data loading and checkpointing
- Make training faster and cheaper by raising efficiency across model architectures and GPU accelerators
More about this role
P-1096
At Databricks, we run the world's largest AI platform. We believe the next breakthroughs will come from models trained on domain-specific enterprise data, not from bigger general-purpose models alone.
That's why we built AI Runtime , a serverless product that makes GPU training of any size feel simple, so companies can train their own models the way frontier labs do. Customers across industries train on it, right next to the enterprise data already in Databricks. Among them are Rivian in automotive, Robinhood in fintech, and Merck, which builds foundation models for drug discovery. Our own AI researchers use it to post-train models with hundreds of billions to nearly a trillion parameters.
It takes a lot of engineering to make that work, and we've written about it on our blog: how we keep GPUs reliable , make training fault-tolerant , and speed up fine-tuning with fused kernels and smart sequence packing. AI agents now launch experiments too, and on our research team they've already increased training jobs 8x .
As a Senior Staff Software Engineer, you'll work on the systems behind all of this, solving the hardest technical problems and shaping where AI Runtime goes next.
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