Databricks jobs

Principal Research Scientist leading Databricks' AI Scaling & Optimization team, focused on advancing large language model training and inference efficiency. You'll lead a multidisciplinary research team to define scaling research roadmaps, drive algorithmic innovations (optimizers, low-precision techniques, model adaptation), and optimize end-to-end ML systems for distributed training and inference. Required experience includes demonstrated expertise in large-scale machine learning, LLM training/inference systems, and a track record of publishing in top-tier venues and translating research into production. The role sits within Databricks AI Research in Mountain View or San Francisco, a company building the world's leading data and AI platform used across security, drug development, and other mission-critical domains. This is a principal-level position involving significant team leadership and external representation through publications and conference talks, with heavy emphasis on both foundational research rigor and pragmatic systems implementation.

Databricks is hiring a Senior Software Engineer for the Compute Infrastructure team in San Francisco, building the foundation that runs all Data, AI, and stateful workloads across major cloud providers. You'll design and build compute abstractions, workload orchestration systems, and fleet management infrastructure that launches tens of millions of VMs daily and operates thousands of Kubernetes clusters. The role requires a BS in Computer Science (or higher), 5+ years designing large-scale distributed systems, strong proficiency in Java, Scala, Go, or C++, and experience with cloud platforms and container orchestration technologies. Databricks powers infrastructure for 10,000+ organizations including over 50% of the Fortune 500, and the compensation package includes $164,200–$205,200 base salary plus equity and performance bonus eligibility. A key standout: this role directly shapes infrastructure at extreme scale, launching tens of millions of VMs per day while delivering both extreme elasticity and cost efficiency.