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Build and scale Databricks' managed GPU training platform (AI Runtime), designing systems for large-scale AI model training, fault tolerance, and developer experience.
Designs and scales Databricks' next-generation AI-powered search platform, combining vector, keyword, and hybrid retrieval to power enterprise knowledge management and AI applications.
Designs and builds scalable backend services for Databricks' Lakehouse Platform, focusing on reliability and performance for data infrastructure in London.
Builds and scales the unified API layer for large language models at Databricks, enabling real-time and batch inference for enterprise customers using partner and self-hosted models.
Build and scale LLM inference infrastructure for enterprise AI workloads, enabling customers to serve and optimize frontier models with high reliability and performance.
Build and scale the backend infrastructure that powers Databricks’ AI platform, including MLflow, model serving, and vector search, using Scala, Go, or Python.
Provide high-level administrative support to senior executives in Costa Rica and the U.S., managing complex calendars, travel, and confidential communications across time zones.
Senior Software Engineer at Databricks building data and AI infrastructure, focusing on front-end architecture and user experience for large-scale data workflows using modern JavaScript frameworks.
Senior Software Engineer designs and automates secure, scalable networking infrastructure for large-scale compute clusters across major cloud providers, powering Databricks' data and AI platform.
Build and lead AI-powered internal platforms at Databricks, defining technical strategy and mentoring engineers to drive business growth.
Leads cross-functional programs to improve the reliability, performance, and operational excellence of Databricks' multi-cloud infrastructure, partnering with senior engineering leaders to set strategy and execute multi-quarter initiatives.
Lead the architecture and optimization of Databricks' GenAI inference engine, focusing on high-throughput, low-latency LLM serving across GPUs and accelerators.
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.
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