Senior Staff Software Engineer, AI Runtime

The impact you will have

• 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.
• Work with research, product, and customers to decide what we build next and align teams on hard technical calls.
• Champion engineering excellence, raise the bar, and help us hire and grow great engineers.

What we look for

• 15+ years in large-scale distributed systems, with significant depth in GPU training, high-performance computing, or ML systems.
• Hands-on experience training large models with FSDP, DeepSpeed, or Megatron, and fluency in parallelism strategies.
• Expertise in GPU performance, including accelerator architecture, high-speed interconnects, and kernels.
• Strong understanding of training resilience patterns, such as checkpointing, failure detection, and automatic recovery.
• A background in building and running multi-tenant cloud platforms as products.
• A track record of setting technical direction across teams and seeing it through to business impact.
• The credibility to bring teams to agreement on difficult trade-offs, and a reputation as a mentor senior engineers seek out.
• BS in Computer Science or a related field (MS or PhD preferred).

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.