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Staff Software Engineer- Foundation Model Inference
Build and scale LLM inference infrastructure for enterprise AI workloads, enabling customers to serve and optimize frontier models with high reliability and performance.
Sr. Software Engineer- Backend
Build and scale the backend infrastructure that powers Databricks’ AI platform, including MLflow, model serving, and vector search, using Scala, Go, or Python.
Staff Software Engineer - GenAI inference
Lead the architecture and optimization of Databricks' GenAI inference engine, focusing on high-throughput, low-latency LLM serving across GPUs and accelerators.
Staff Software Engineer - GenAI Performance and Kernel
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.
Senior Applied AI Engineer
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, AI Runtime
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.
Senior Software Engineer - Database Engine Internals
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, Model Serving
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.
Software Engineer - Database Engine Internals
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.
Staff Software Engineer - Database Engine Internals
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.
Staff Software Engineer, Foundational Model Serving
Designs and builds high-scale APIs for serving large language models (LLMs) and GPU inference workloads, focusing on performance, reliability, and operational excellence.
Staff Software Engineer, Model Serving
Designs and builds scalable, low-latency AI/ML model serving infrastructure for Databricks, focusing on real-time inference, autoscaling, and cross-team collaboration.
Solutions Architect
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.
Sr. Manager – Data & AI Support Engineering
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 - Backend
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.
Staff Software Engineer - Machine Learning (Search)
Lead the development of AI-powered search ranking and relevance systems for Databricks' platform, focusing on query understanding, retrieval, and evaluation at scale.
Staff Software Engineer (Search Ranking)
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 ML & AI Technical Solutions Engineer
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 Applied ML Engineer - ML4Sys
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.
Senior Software Engineer - Security
Design and implement security systems to protect Databricks' data and AI platform, focusing on cryptography, identity management, and threat detection at scale.