Software Developer 4

Oracle is hiring Software Developers with 5+ years of experience to build foundational data systems for AI-native enterprise intelligence. Exceptions may be considered for candidates with a strong technical background and relevant project experience.
This role is ideal for engineers who enjoy solving deep systems problems across database internals, high-performance indexing, distributed systems, information retrieval, and AI/ML systems.
The selected candidate will help evolve Oracle Database from a traditional transactional engine into a unified platform where semantic retrieval, hybrid query execution, object storage, and AI-powered retrieval capabilities operate close to the data.

Only Oracle brings together the data, infrastructure, applications, and expertise to power everything from industry innovations to life-saving care. And with AI embedded across our products and services, we help customers turn that promise into a better future for all. Discover your potential at a company leading the way in AI and cloud solutions that impact billions of lives.

True innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing a workforce that promotes opportunities for all with competitive benefits that support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling 1-888-404-2494 in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.

• Design and build high-performance AI-powered retrieval primitives inside the Oracle Database kernel, including vector search, multi-vector indexing, quantization, and tiered indexing.

  
  

• Develop scalable indexing algorithms that support high-concurrency, incremental, online updates for OLTP and streaming workloads.

  
  

• Engineer hybrid retrieval capabilities across relational, JSON, text, graph, spatial, and vector data using SQL execution and cost-based optimization.

  
  

• Build database-native support for semantic joins, predicate pushdown, storage offloading, and similarity-aware query planning.

  
  

• Develop AI retrieval capabilities for open lakehouse environments, including Apache Iceberg datasets, object storage, automated vectorization, and unstructured data substrates.

  
  

• Collaborate with engineers, architects, and product stakeholders to deliver enterprise-grade AI-native database foundations.
   

  
  

Qualifications:

• 5+ years of software development experience, with flexibility for candidates who demonstrate strong technical depth through relevant projects, research, or product engineering experience.

  
  

• Strong hands-on experience in database internals, storage engines, indexing, query processing, or related systems-level software engineering.

  
  

• Advanced programming expertise in C or C++, with the ability to work on high-performance, low-level systems.

  
  

• Experience designing or optimizing algorithms for search, indexing, retrieval, concurrency, memory management, or distributed execution.

  
  

• Strong understanding of distributed systems concepts, including high availability, transactional consistency, concurrency control, or multi-node execution.

  
  

• Ability to work on complex performance-sensitive systems where latency, throughput, correctness, and reliability are critical.

  
  

• Experience collaborating on engineering projects involving design reviews, implementation, testing, and production-quality delivery.

  
  

Good-to-Have
Experience with vector search, approximate nearest neighbor search, graph-based retrieval, hybrid search, semantic search, or information retrieval systems.
Exposure to AI/ML systems, vector embeddings, RAG, or embedding lifecycle management.
Experience with database optimizers, SQL execution engines, predicate pushdown, query planning, or join algorithms.
Familiarity with Apache Iceberg, object storage, lakehouse architectures, unstructured data storage, or zero-ETL data pipelines.
Experience with Oracle Database or enterprise database platforms.

Career Level - IC4