Staff Software Engineer, Foundational Model Serving
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will design and build high-throughput, low-latency GPU inference systems and APIs. You will define architecture and technical roadmaps, optimize serving performance and autoscaling, improve operational readiness, mentor engineers, and translate customer needs into reliable systems.
Requirements
- Large-scale distributed system
- Backend system
- Algorithm
- Data structure
- System design
- Low-latency serving system
- Technical roadmap
- Mentoring
- Communication
Responsibilities
- Design and implement scalable serving systems and APIs
- Define the technical roadmap and long-term serving architecture
- Optimize performance, throughput, autoscaling, and operational efficiency
- Build serving infrastructure components including rate limiters and optimizers
- Translate customer needs into reliable and performant systems
- Establish code quality, testing, and operational-readiness practices
- Mentor engineers through design reviews and technical guidance
- Represent the team in cross-organizational technical discussions
Benefits
- Annual performance bonus eligibility
- Equity eligibility