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Designs and optimizes low-level GPU kernels for AI inference, focusing on performance, correctness, and hardware efficiency while mentoring engineers and collaborating with ML teams.
Leads high-impact platform programs at Databricks, aligning engineering, product, and go-to-market teams to deliver scalable solutions for enterprise customers using cloud platforms.
Design and implement core database engine components like query optimization, distributed execution, and storage systems for Databricks' data platform, using distributed systems and performance tuning expertise.
Design and build AI-native, agentic systems for HR workflows like onboarding and analytics using Python, LangGraph, and Databricks, integrating enterprise HR platforms such as Workday.
Leads a team building and maintaining the frontend developer platform at Databricks, enabling hundreds of engineers to ship high-quality React-based features efficiently using TypeScript, GraphQL, and related tools.
Senior AI engineer at Databricks builds and deploys machine learning models to improve AutoML and other products, focusing on classification, forecasting, and recommendations using classical and deep learning techniques.
Senior Software Engineer at Databricks building and scaling AI Runtime, a managed GPU training platform for large-scale AI model training and fine-tuning, using distributed systems and cloud infrastructure.
Builds and scales Databricks' backend systems for log analytics, AI/BI, data governance, and app infrastructure, using Java/Scala/C++ and cloud technologies.
Designs and builds next-generation database engine internals for a unified data platform, focusing on query optimization, distributed execution, and storage systems using technologies like Apache Spark.
Senior Software Engineer at Databricks in Belgrade designing and building distributed data systems for the Lakehouse platform, using Java/Scala/C++ and big data technologies like Apache Spark.
Builds and improves Databricks' full-stack data and AI platform, focusing on user experience, scalability, and distributed systems in Vancouver.
Senior engineer builds and scales Databricks’ Model Serving platform, designing low-latency inference systems for CPU/GPU workloads and collaborating across teams to operationalize AI/ML models at enterprise scale.
Designs and builds billing, pricing, and cost-optimization systems for Databricks' SaaS platform, processing real-time usage data across AWS, GCP, and Azure.
Build intuitive, high-performance dashboarding tools in a data platform, using React, TypeScript, and cloud services to let users explore and share insights from large datasets.
Builds and maintains Databricks' data and AI infrastructure platform, focusing on distributed systems, cloud storage backends, and scalable backend services using Java, Scala, or C++.
Designs and builds next-generation database engine internals for Databricks' Lakehouse platform, focusing on query optimization, distributed execution, and storage systems to outperform specialized data warehouses.
Builds and optimizes Databricks' distributed data and AI infrastructure platform in Belgrade, focusing on storage and query engines using Java, Scala, or C++ and big data systems like Apache Spark.
P-1448 About the Role Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation in Apache Spark and a passion for customer engagement. This…
Designs and builds scalable backend services for a data/AI platform, focusing on distributed systems, cloud storage integration, and SaaS architecture.
Designs and scales backend systems for Databricks' data and AI platform, focusing on log analytics, AI/BI, or distributed data governance in Vancouver.
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