NVIDIA is looking for Java engineering interns to work on cuVS, a suite of open source software libraries for unstructured data processing and vector search algorithms on GPUs. cuVS relies on NVIDIA CUDA for low-level compute optimization, but exposes that high-performance GPU compute through user-friendly languages like Java.

We’re expanding our vector search and database acceleration to include a Java engineering intern. The cuVS team builds next-generation building blocks for accelerating Java-based libraries like Lucene and JVector, which are used in widely popular databases like OpenSearch, Solr, MongoDB, and Elasticsearch. In this role, you will develop, benchmark, and explore novel tuned custom solutions for accelerating vector preprocessing, clustering, indexing, and search. This includes end-to-end database acceleration and scale, including introducing scalable architectural improvements, optimizing disk-based indexing and using next-generation hardware to benchmark data volumes not tractable with today’s CPU-centric solutions. This is a great chance to take advantage of your Java CUDA/C++ skills and make a huge impact across a rapidly growing industry. Vector search is an exciting new field at the intersection of data processing and AI. You’ll work closely with the cuVS team of stellar engineering, redefining what’s possible in the world of unstructured information retrieval.

What you'll be doing:

• Analyze, design, and implement optimized GPU algorithms for large-scale vector search, databases, and machine learning.

• Expand and improve integration of NVIDIA cuVS into relevant high-level vector search libraries and vector databases.

• Performance analysis, benchmarking, and troubleshooting of associated libraries.

What we need to see:

• Currently enrolled in a Masters or PhD program in Data Science, Machine Learning or Computer Science

• Strong analytical problem-solving skills, algorithms and mathematics fundamentals.

• Excellent software development skills: programming, debugging, performance analysis, and test design, especially within the Java ecosystem and the JVM

• Experience with NoSQL DBs: Lucene, Elasticsearch, OpenSearch, MongoDB, Solr

• Good communication and documentation habits

Ways to stand out from the crowd:

• Experience developing distributed algorithms and running on distributed systems: HPC, Cloud, etc

• Distributed System experience and development

• Experience with debugging multi-language and multi-hardware systems

• Experience with Vector Databases: Milvus, Pinecone, LanceDB

• Familiarity with Nearest Neighbor Algorithms like graph-based and inverted file indexes

• Some familiarity with machine learning concepts like clustering and dimensionality reduction

• GPU programming knowledge is a plus, but if you don’t have it, we’re happy to teach you

Our internship hourly rates are a standard pay based on the position, your location, year in school, degree, and experience. The hourly rate for our interns is 20 USD - 71 USD.

You will also be eligible for Intern benefits.

Applications for this job will be accepted at least until July 3, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.