Staff Software Engineer, Model ServingActive$192K
The opportunity
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI…
What you'll do
Design and implement core systems and APIs that power Databricks Model: Serving, ensuring scalability, reliability, and operational excellence.
Partner with product and engineering leadership to define the technical: roadmap and long-term architecture for serving workloads.
Drive architectural decisions and trade-offs to optimize performance,: throughput, autoscaling, and operational efficiency for CPU and GPU serving workloads.
Contribute directly to key components across the serving infrastructure: from model container builds and deployment workflows to runtime systems like routing, caching, observability, and intelligent autoscaling — ensuring smooth and efficient operations at scale.
Collaborate cross-functionally with product, platform, and research teams to: translate customer needs into reliable and performant systems.
Lead technical initiatives that improve latency, availability, and: cost-effectiveness across both customer-facing and foundational serving layers.
What they're looking for
- Establish best practices for code quality, testing, and operational: readiness, and mentor other engineers through design reviews and technical guidance.
- Represent the team in cross-organizational technical discussions and: influence Databricks’ broader AI platform strategy.
- + years of experience building and operating large-scale distributed systems.
- Deep expertise in model serving, inference systems, and related: infrastructure (e.g., routing, scheduling, autoscaling, and observability).
