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Seasonal Java Programming Intern Jobs in California

Brilent

Software Engineer Intern

San Mateo, CA · On-site

As a software engineering intern, you will work alongside our small team of engineers to create new ... Experience with Java, C++ or Python programming and debugging skills * Knowledge of machine ...

Nirmata

AI Software Engineer Intern

San Jose, CA

As an AI/ML Software Engineer Intern, you will define and implement the AI/ML infrastructure ... Opportunities to contribute to a cutting-edge SaaS platform, featuring microservices in Java and Go ...

Brilent

QA Engineer Intern

San Mateo, CA · On-site

As a QA Engineer Intern, you will work alongside our small team of engineers to develop new ... Good Java and J2EE programming skills * Demonstrated ability to work as a self-starter in a ...

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Seasonal Java Programming Intern information

What are the key skills and qualifications needed to thrive as a Seasonal Java Programming Intern, and why are they important?

To thrive as a Seasonal Java Programming Intern, you need a solid understanding of Java fundamentals, object-oriented programming, and basic software development concepts, often supported by coursework or personal projects. Familiarity with development tools such as Eclipse or IntelliJ IDEA, version control systems like Git, and exposure to databases are typically expected. Strong problem-solving abilities, eagerness to learn, and effective communication skills help interns stand out in collaborative, fast-paced environments. These competencies ensure interns can quickly contribute, adapt to team workflows, and maximize learning during their limited internship period.

What kind of projects and mentorship can a Seasonal Java Programming Intern expect during their internship?

As a Seasonal Java Programming Intern, you can expect to work on real-world projects that contribute directly to your team's goals, such as developing new features, debugging existing code, or assisting with software integration tasks. Interns are typically paired with experienced developers or mentors who provide guidance, code reviews, and constructive feedback. You'll have opportunities to participate in team meetings, collaborate with QA testers, and learn about agile development practices. This hands-on experience will enhance your programming skills and deepen your understanding of professional software development environments.

What are Seasonal Java Programming Interns?

Seasonal Java Programming Interns are temporary positions, typically offered during summer or winter breaks, where students or recent graduates work to gain practical experience in Java programming. These interns assist in software development projects, coding, testing, and debugging Java applications under the guidance of experienced developers. The role helps interns build technical skills, understand real-world software development processes, and can lead to future full-time opportunities. Seasonal internships usually last a few months and are aimed at those pursuing a career in software engineering.
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What job categories do people searching Seasonal Java Programming Intern jobs in California look for? The top searched job categories for Seasonal Java Programming Intern jobs in California are:
Seasonal Java Programming Intern jobs near you
Java Engineering Intern - Fall 2026

Java Engineering Intern - Fall 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 21 days ago

Nvidia rating

9.3

Company rating: 9.3 out of 10

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

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.

What Nvidia employees say

Hours and flexibility

Workplace

Get the full story on Breakroom

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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

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