1

Intern Vector Jobs in California (NOW HIRING)

Antenna Intern (Fall 2026) Internships at Astranis typically last for twelve weeks, and are hourly ... Experience measuring components using vector network analyzers, spectrum analyzers, and signal ...

Antenna Intern (Fall 2026) Internships at Astranis typically last for twelve weeks, and are hourly ... Experience measuring components using vector network analyzers, spectrum analyzers, and signal ...

The intern will work on real-world semiconductor software challenges, focusing on improving AI ... vector databases (e.g., FAISS, Pinecone) Experience with Retrieval-Augmented Generation (RAG ...

Hands-on experience with vector databases (e.g., FAISS, Milvus) or large-scale search engines (e.g., Elasticsearch, Solr). * Contextual Data Integration: Experience working with geospatial data (GIS ...

Hands-on experience with vector databases (e.g., FAISS, Milvus) or large-scale search engines (e.g., Elasticsearch, Solr). * Contextual Data Integration: Experience working with geospatial data (GIS ...

Position Summary We are looking for a Database Engineer Intern for our San Diego-based corporate ... with vector databases (e.g., Qdrant, pgvector). * Understands the basics of MCP (Model Context ...

Position Summary We are looking for a Database Engineer Intern for our San Diego-based corporate ... with vector databases (e.g., Qdrant, pgvector). * Understands the basics of MCP (Model Context ...

Familiarity with retrieval-augmented generation (RAG) concepts (e.g., embeddings, vector search, context assembly) * Experience or coursework involving multi-step workflows, pipelines, or agent-based ...

Familiarity with retrieval-augmented generation (RAG) concepts (e.g., embeddings, vector search, context assembly) * Experience or coursework involving multi-step workflows, pipelines, or agent-based ...

next page

Showing results 1-20

Intern Vector information

What typical projects or tasks can an Intern Vector expect to work on during their internship?

As an Intern Vector, you can expect to support projects involving data analysis, algorithm development, and software testing, often under the guidance of senior engineers or data scientists. Your daily responsibilities may include assisting with coding, debugging, and documentation, as well as collaborating with team members during meetings or code reviews. This role provides valuable exposure to real-world technical challenges and the opportunity to contribute to meaningful projects, helping you build practical skills and professional relationships that can aid in your future career growth.

What is the difference between Intern Vector vs Intern Data Analyst?

AspectIntern VectorIntern Data Analyst
Required CredentialsBasic coursework in vector mathematics, computer science, or related fieldsCoursework in statistics, data analysis, or related fields
Work EnvironmentTech companies, research labs, or software development teamsBusiness, finance, healthcare, or marketing departments
Employer & Industry UsageUsed in fields involving computer graphics, simulations, or machine learningCommon in industries analyzing data for insights and decision-making
Search & Comparison IntentUnderstanding roles involving vector computations or graphicsRoles focused on data analysis and interpretation

Intern Vector typically involves working with mathematical vectors in tech or research settings, focusing on algorithms or graphics. Intern Data Analyst centers on analyzing data sets to generate insights, often in business or healthcare. While both are internships, their focus areas and skill requirements differ significantly, catering to distinct industry needs.

What are Intern Vectors?

Intern Vector positions are typically internship roles focused on vector mathematics, data structures, or computational tasks involving vectors, often in fields like computer science, data analysis, or engineering. Interns in these roles may assist with coding, machine learning projects, or research that involves vector operations and algorithms. These internships provide hands-on experience, mentorship, and a chance to develop technical skills relevant to the industry. Intern Vectors help bridge academic knowledge with real-world applications, giving students a valuable entry point into their chosen fields.

What are the key skills and qualifications needed to thrive as an Intern Vector, and why are they important?

To thrive as an Intern Vector, you typically need a background in mathematics, computer science, or engineering, supported by ongoing pursuit of a relevant degree. Familiarity with programming languages (such as Python or C++), data analysis tools, and version control systems like Git is often expected. Strong communication, teamwork, and adaptability help you integrate into professional environments and contribute effectively to projects. These skills and qualities are crucial for successfully applying academic knowledge in practical settings and for building a foundation for future career growth.
What are the most commonly searched types of Vector jobs in California? The most popular types of Vector jobs in California are:
What job categories do people searching Intern Vector jobs in California look for? The top searched job categories for Intern Vector jobs in California are:
What cities in California are hiring for Intern Vector jobs? Cities in California with the most Intern Vector job openings:
Java Engineering Intern - Fall 2026

Java Engineering Intern - Fall 2026

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Posted 7 days ago


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.

Nvidia logo

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