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Staff Software Engineer - AI Research Infrastructure

Databricks ·New York City, New York; San Francisco, California ·Onsite 9d ago
HPCKubernetesC++RustGoJavaScalaDistributed Systems

About the role

As a Staff Software Engineer, AI Research Infrastructure, you will develop and run the research stack that powers Databricks AI Research. You will design and build services that schedule, orchestrate, and observe large-scale training and inference experiment workloads across thousands of GPUs, improve dev tooling, and ensure researchers can iterate quickly without sacrificing reliability, efficiency, or security. You'll partner closely with research scientists, ML engineers, and platform teams.

Requirements

BS/MS or PhD in Computer Science or related field; 5+ years of software engineering experience with large-scale distributed systems or infrastructure; deep experience with distributed systems, data pipelines, or large-scale backend services involving GPUs, clusters, or cloud providers; proficiency in systems programming languages (C++, Rust, Go, Java, Scala); contributions to cluster schedulers or job orchestration systems (Kubernetes, Slurm, Ray); understanding of modern ML training and inferer

About the company

Databricks

Databricks offers a unified data analytics platform that enables data science, engineering, and machine learning teams to collaborate and build AI solutions. They operate in the data analytics and AI industry, providing a platform that aims to simplify complex data workflows and accelerate the delivery of AI-powered applications.

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$199k–270k
Onsite New York City, New York; San Francisco, CaliforniaNew York City, USSan Francisco, USNew York City, New YorkSan Francisco, California
Posted 9d ago
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About the company
Databricks
https://www.databricks.com

Databricks offers a unified data analytics platform that enables data science, engineering, and machine learning teams to collaborate and build AI solutions. They operate in the data analytics and AI industry, providing a platform that aims to simplify complex data workflows and accelerate the delivery of AI-powered applications.

View company page →