P-1930

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.
The impact you will have:

• 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

What we look for:

• 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

Bonus points for:

• Exposure to platforms like SageMaker, Vertex AI, or Azure ML
• Contributions to OSS projects like MLflow, PyTorch, Ray, vLLM, SGLang
• Built developer platforms or internal tools supporting AI workflows

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.

Local Pay Range

$190,000-$265,000 USD