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Designs and builds next-generation database engine internals for Databricks' Lakehouse platform, focusing on query optimization, distributed execution, and storage systems to outperform traditional data warehouses.
Builds and optimizes Databricks' distributed data and AI infrastructure platform, focusing on storage and query engines, while mentoring engineers and driving long-term technical vision.
Designs and builds high-scale APIs for serving large language models (LLMs) and GPU inference workloads, focusing on performance, reliability, and operational excellence.
Builds and improves Databricks' full-stack data and AI platform, focusing on user experience, scalability, and distributed systems in Vancouver.
Designs and builds scalable, low-latency AI/ML model serving infrastructure for Databricks, focusing on real-time inference, autoscaling, and cross-team collaboration.
Build scalable, customer-facing workflows and modular UI flows for Databricks' data and AI platform, collaborating with global teams to deliver robust, scalable products.
Senior Staff Software Engineer at Databricks in Bengaluru, India, building and scaling distributed systems to process exabytes of data daily for enterprise customers using cloud infrastructure and big data technologies.
Senior engineer builds and tunes hybrid search systems that power both human users and AI agents, blending keyword and vector retrieval with relevance metrics like nDCG and MRR.
A Solutions Architect at Databricks partners with enterprise clients in Mexico City to design and implement data-driven strategies using Databricks' ML & AI platform, requiring up to 50% travel in LATAM.
P-1388 As a Sr. Manager of the Data & AI Support Engineering team, you will lead and manage a team of Technical Solutions Engineers responsible for driving deep technical resolutions for complex customer issues…
Staff Software Engineer designing and scaling backend systems for Databricks' data and AI platform, working with distributed systems, cloud storage, and Scala/Kubernetes in Bengaluru.
Lead the development of AI-powered search ranking and relevance systems for Databricks' platform, focusing on query understanding, retrieval, and evaluation at scale.
Builds and optimizes search systems that power both AI agents and human users, focusing on hybrid retrieval, ranking models, and relevance metrics using Lucene/Elasticsearch and embeddings.
Leads the development of AI-powered search ranking and relevance systems for Databricks' platform, focusing on ML models, NLP pipelines, and evaluation frameworks to improve asset discovery at scale.
Senior role troubleshooting and optimizing GenAI/ML workloads on Databricks, advising customers on AI agents, vector search, and model serving while collaborating with engineering teams.
Senior ML engineer builds and deploys optimization models to tune Databricks’ distributed infrastructure, cutting cost and boosting performance across the stack from cluster scheduling to query execution.
As we continue to increase our presence in the world of Unified Data Analytics and AI, we're looking for a creative, driven, and execution-oriented Enterprise Account Executive to sell and maximize the huge market…
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…
Builds and scales Databricks' Lakehouse Platform backend services in Berlin, focusing on distributed systems, cloud storage integration, and high-performance data infrastructure.
Builds and scales backend infrastructure for Databricks' data and AI platform, focusing on distributed systems, cloud storage, and SaaS services using languages like Scala and Java.
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