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 ...
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 ...
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 ...
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 ...
Java Architect
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Java Architect
$74.25 - $100.25/hr
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Brilliant Java Engineer
San Francisco, CA · On-site
$61 - $83.75/hr
... 3 million jobs and20,000 internships. BranchOut is backed by Accel Partners, Norwest ... Our codebase is written in Java, but we're not really lookingfor heavy J2EE expertise. A few years ...
Brilliant Java Engineer
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$61 - $83.75/hr
... 000 internships. BranchOut is backed by Accel Partners, Norwest Venture Partners, Floodgate and ... Our codebase is written in Java, but we're not really looking for heavy J2EE expertise. A few years ...
Brilliant Java Engineer
San Francisco, CA · On-site
$61 - $83.75/hr
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Night Java Programmer Internship information
What is the difference between Night Java Programmer Internship vs Java Developer?
| Aspect | Night Java Programmer Internship | Java Developer |
|---|---|---|
| Credentials | Typically pursuing or recent graduate in Computer Science or related field | Bachelor's degree in Computer Science or related field, sometimes certifications |
| Work Environment | Internship setting, often part-time or temporary, night shifts possible | Full-time, standard daytime hours in various industries |
| Industry Usage | Entry-level, training-focused roles in tech companies or IT departments | Full professional roles across software development companies |
The Night Java Programmer Internship is an entry-level, training-focused position suitable for students or recent graduates, often involving night shifts. In contrast, a Java Developer is a full-time professional role requiring more experience and offering broader responsibilities. Both roles involve Java programming but differ mainly in experience level, work hours, and career stage.

Nvidia rating
9.3
Based on 5 frontline employees who took The Breakroom Quiz
15th of 209 rated software companies
Job description
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
You will also be eligible for Internbenefits.
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.About Nvidia
Sourced by ZipRecruiter
NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.
Industry
Computer and electronic product manufacturing
Company size
10,000+ Employees
Headquarters location
Santa Clara, CA, US
Year founded
1993