Databricks

1 month ago

Staff Software Engineer, AI Search

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Lead the design and evolution of Databricks' next-generation AI search stack, spanning vector, keyword, and hybrid retrieval. Drive scalable, low-latency search across multimodal data, mentor engineers, and shape APIs and long-term technical direction to enable production-grade AI search applications.

Location: Mountain View

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Drive the architecture and evolution of the Search product, delivering scalable, low-latency, and high-quality retrieval across massive multimodal datasets.
•Identify and solve challenges in indexing, storage, query execution, and ranking — blending innovations in vector search, keyword search, and hybrid retrieval techniques.
•Partner with infrastructure, product, and research teams to shape APIs and developer experiences that make it easy to build production-grade, AI-powered and search-driven applications.
•Lead end-to-end engineering efforts — from design to production rollout — ensuring high standards for performance, correctness, and reliability.
•Make direct, high-impact contributions to core systems powering search, discovery, and recommendation experiences.

Key Requirements

•10+ years of experience building and operating large-scale distributed systems.
•Deep expertise in Search technologies (vector, keyword, hybrid) and related domains such as indexing, ranking, retrieval infrastructure, and relevance optimization.
•Familiarity with storage systems, recommendation engines, and database internals.
•Strong foundation in algorithms, data structures, and system design as applied to large-scale retrieval and data systems.
•Proven ability to deliver technically complex, high-impact initiatives that create customer or business value.

Experience:10+ yearsSearchDistributed systemsAIRetrievalDatabases

Skills:Vector searchKeyword searchHybrid retrievalAlgorithmsData structuresSystem designDistributed systemsAPI designMentoringCommunication

Languages:English

Tech Stack:Vector searchKeyword searchRetrievalDatabasesStorage systemsAlgorithmsData structuresSystem designAPIs

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn

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Databricks

1 month ago

Staff Software Engineer, AI Search

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 8 hours agoStatus: Live

Job Summary

Location: Mountain View

Workplace: Onsite

Employment Type: Full time

Job Function: Software Engineering

Seniority: Sr. Manager level

Key Responsibilities

•Drive the architecture and evolution of the Search product, delivering scalable, low-latency, and high-quality retrieval across massive multimodal datasets.
•Identify and solve challenges in indexing, storage, query execution, and ranking — blending innovations in vector search, keyword search, and hybrid retrieval techniques.
•Partner with infrastructure, product, and research teams to shape APIs and developer experiences that make it easy to build production-grade, AI-powered and search-driven applications.
•Lead end-to-end engineering efforts — from design to production rollout — ensuring high standards for performance, correctness, and reliability.
•Make direct, high-impact contributions to core systems powering search, discovery, and recommendation experiences.

Key Requirements

•10+ years of experience building and operating large-scale distributed systems.
•Deep expertise in Search technologies (vector, keyword, hybrid) and related domains such as indexing, ranking, retrieval infrastructure, and relevance optimization.
•Familiarity with storage systems, recommendation engines, and database internals.
•Strong foundation in algorithms, data structures, and system design as applied to large-scale retrieval and data systems.
•Proven ability to deliver technically complex, high-impact initiatives that create customer or business value.

Experience:10+ yearsSearchDistributed systemsAIRetrievalDatabases

Skills:Vector searchKeyword searchHybrid retrievalAlgorithmsData structuresSystem designDistributed systemsAPI designMentoringCommunication

Languages:English

Tech Stack:Vector searchKeyword searchRetrievalDatabasesStorage systemsAlgorithmsData structuresSystem designAPIs

Company Brief

Databricks

Provides a unified data analytics platform powered by Apache Spark to simplify building, deploying, and scaling data engineering, data science, and machine learning workloads for enterprises.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2013

Website LinkedIn