NVIDIA is looking for Java engineering interns to work on cuVS, a suite of open source software ... programming knowledge is a plus, but if you don't have it, we're happy to teach you Our internship ...
NVIDIA is looking for Java engineering interns to work on cuVS, a suite of open source software ... programming knowledge is a plus, but if you don't have it, we're happy to teach you Our internship ...
NVIDIA is looking for Java engineering interns to work on cuVS, a suite of open source software ... programming knowledge is a plus, but if you don't have it, we're happy to teach you Our internship ...
NVIDIA is looking for Java engineering interns to work on cuVS, a suite of open source software ... programming knowledge is a plus, but if you don't have it, we're happy to teach you Our internship ...
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Java Programming Internship information
See salary details
$15.63 - $21.24
0% of jobs
$21.24 - $26.86
0% of jobs
$26.86 - $32.47
1% of jobs
$32.47 - $38.09
3% of jobs
$38.09 - $43.71
6% of jobs
$43.71 - $49.32
14% of jobs
$49.54 is the 25th percentile. Wages below this are outliers.
$49.32 - $54.94
20% of jobs
The median wage is $56.34 / hr.
$54.94 - $60.56
23% of jobs
$62.95 is the 75th percentile. Wages above this are outliers.
$60.56 - $66.17
18% of jobs
$66.17 - $71.79
11% of jobs
$71.79 - $77.40
4% of jobs
$15
$56
$77
How much do java programming internship jobs pay per hour?
What types of projects can I expect to work on during a Java Programming Internship?
What is a Java Programming Internship?
What are the key skills and qualifications needed to thrive as a Java Programming Intern, and why are they important?
What is the difference between Java Programming Internship vs Java Developer?
| Aspect | Java Programming Internship | Java Developer |
|---|---|---|
| Required Credentials | Typically pursuing or recent graduate in Computer Science or related field | Bachelor's degree in Computer Science or related, with experience |
| Work Environment | Entry-level, training-focused, often in tech companies or software firms | Full-time professional role, involved in designing, coding, and maintaining Java applications |
| Employer & Industry Usage | Internships offered by tech companies, startups, and software firms | Full-time employment in similar industries, including finance, tech, and enterprise software |
In summary, a Java Programming Internship is an entry-level, training-focused position for students or recent graduates, while a Java Developer is a full-time professional role requiring more experience and responsibility. Internships serve as a stepping stone into a Java development career, providing practical skills and industry exposure.
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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
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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