Staff Software Engineer- Foundation Model Inference
$190k - $265k • Remote • San Francisco, California
Posted 5d ago
About the job
The Foundation Model Inference team is the backbone of Databricks’ generative AI capabilities. We build the infrastructure that enables our customers to serve, scale, and optimize frontier models with enterprise-grade reliability and performance. Our Foundation Model APIs provide a unified platform that gives customers access to LLMs with the governance, flexibility, and scalability required for enterprise production workloads. We are looking for high-agency engineers who are excited to work on powering model inference at enterprise scale.
Responsibilities
- Build LLM infrastructure powering large-scale inference workloads for customers through partner models (OpenAI, Anthropic, Gemini) and self-hosted models (Qwen, GPT-OSS, Llama).
- Improve reliability, latency, and efficiency of distributed AI workloads.
- Collaborate with platform, infra, and ML teams to deliver seamless end-to-end experiences.
- Shape how developers and data scientists build and interact with AI on Databricks.
Requirements
- 8+ years of experience in backend or infrastructure engineering.
- Experience with distributed systems, scalable APIs, or cloud-native infrastructure.
- Experience with real-time serving, ML infrastructure, or GPU orchestration.
- Familiarity with service-oriented architecture, deployment pipelines, and system observability.
Benefits
- Eligibility for annual performance bonus
- Equity
- Comprehensive benefits and perks