Staff Backend Software Engineer- (AI Platform)

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About this role

Staff Backend Software Engineer- (AI Platform) San Francisco, California 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 infrastructure platform so our customers can use deep data insights to improve their business. Databricks' Model Serving product provides enterprises with a unified, scalable, and governed platform to deploy and manage AI/ML models - from traditional ML to fine-tuned and proprietary large language models. It offers real-time, low-latency inference, governance, monitoring, and lineage. As AI adoption accelerates, Model Serving is a core pillar of the Databricks platform, enabling customers to operationalize models at scale with strong SLAs and cost efficiency. As a Staff Engineer, you'll play a critical role in shaping both the product experience and the foundational infrastructure of Model Serving. You will design and build systems that enable high-throughput, low-latency inference across CPU and GPU workloads, influence architectural direction, and collaborate closely across platform, product, infrastructure, and research teams to deliver a world-class serving platform. The impact you will have: - 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

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