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Internship Knowledge Graph Jobs in California (NOW HIRING)

Intel

CPU Formal Verification Engineer

Santa Clara, CA

$159K/yr

Understands the binary decision diagram (BDD) and data flow graph (DFG) for data paths and resolves ... In-depth computer architecture knowledge with emphasis on out of order processor execution, memory ...

City of El Monte, CA

Planning Intern

El Monte, CA

$20/hr

Since this class operates in a learning capacity, interns may have only limited or no directly related work experience. Essential Functions / Knowledge, Skills, & Abilities EXAMPLES OF TYPICAL JOB ...

Intel

CPU Formal Verification Engineer

Folsom, CA

$145K/yr

Understands the binary decision diagram (BDD) and data flow graph (DFG) for data paths and resolves ... In-depth computer architecture knowledge with emphasis on out of order processor execution, memory ...

Illumio

Senior Engineer, Container Security

Sunnyvale, CA

$134K - $184K/yr

Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains ... You will also mentor junior engineers, new-grads, and interns to help them grow as engineers and ...

Pronto

Robotics Planning Engineer

San Francisco, CA · On-site

$182K - $230K/yr

... internship) software development experience * Strong foundation in motion planning algorithms ... Experience with graph algorithms (Dijkstra, heuristic search) * Knowledge of GEOS, Shapely or other ...

Illumio

Senior Software Engineer

Sunnyvale, CA

$143K - $189K/yr

Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains ... You will also mentor junior engineers, new-grads, and interns to help them grow as engineers and ...

Illumio

Sr. Member of Technical Staff

Sunnyvale, CA

Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains ... You will also mentor junior engineers, new-grads, and interns to help them grow as engineers and ...

Illumio

Sr. Staff Engineer

Sunnyvale, CA

Powered by the Illumio AI Security Graph, our breach containment platform identifies and contains ... You will also mentor junior engineers, new-grads, and interns to help them grow as engineers and ...

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Internship Knowledge Graph information

What is an Internship Knowledge Graph?

An Internship Knowledge Graph is a structured data model that organizes and connects information related to internships, such as companies offering positions, required skills, educational backgrounds, locations, and application deadlines. It uses nodes and relationships to map out how various internship opportunities are related to one another and to relevant entities. This helps students, employers, and educational institutions easily search, analyze, and recommend internships tailored to specific interests and qualifications.

What are the key skills and qualifications needed to thrive as a Knowledge Graph Intern, and why are they important?

To thrive as a Knowledge Graph Intern, you typically need a background in computer science, data science, or a related field, with foundational knowledge in graph theory and semantic web technologies. Familiarity with tools like Neo4j, RDF, SPARQL, and programming languages such as Python or Java is often required. Strong analytical thinking, problem-solving abilities, and communication skills help interns collaborate on complex data modeling tasks and clearly present insights. These skills enable effective contribution to building, optimizing, and maintaining knowledge graph systems that enhance organizational data understanding.

What is the difference between Internship Knowledge Graph vs Data Analyst?

AspectInternship Knowledge GraphData Analyst
Required CredentialsRelevant coursework, basic understanding of knowledge graphsBachelor's degree in data science, statistics, or related field
Work EnvironmentInternship setting, research projects, collaborative teamsCorporate or consulting environments, data-driven decision making
Industry UsageEmerging in AI, semantic web, and knowledge management projectsWidely used across finance, marketing, healthcare, and tech sectors
Search & Comparison IntentUnderstanding entry-level roles involving knowledge graphsAnalyzing data to derive insights and support business strategies

The Internship Knowledge Graph role focuses on foundational understanding and research in knowledge graphs, often suitable for students or entry-level candidates. Data Analysts, however, typically have more advanced data handling skills and work across various industries to interpret data for strategic decisions. While both roles involve data concepts, their scope, environment, and experience levels differ significantly.

What types of projects do interns typically work on in a Knowledge Graph internship?

As a Knowledge Graph intern, you can expect to work on projects involving data modeling, entity extraction, and relationship mapping using large data sets. Interns often collaborate closely with data scientists and software engineers to help build, refine, or maintain knowledge graphs that support enterprise search, recommendation systems, or semantic search features. Typical tasks might include analyzing unstructured data, integrating new data sources, and helping to improve the accuracy and scalability of existing graph-based solutions. This hands-on experience offers valuable exposure to both theory and application in the field of knowledge representation.
What are the most commonly searched types of Knowledge Graph jobs in California? The most popular types of Knowledge Graph jobs in California are:
What are popular job titles related to Internship Knowledge Graph jobs in California? For Internship Knowledge Graph jobs in California, the most frequently searched job titles are:
What job categories do people searching Internship Knowledge Graph jobs in California look for? The top searched job categories for Internship Knowledge Graph jobs in California are:
Internship Knowledge Graph jobs near you
Senior Deep Learning Compiler Engineer - XLA

Senior Deep Learning Compiler Engineer - XLA

Nvidia Corporation

Santa Clara, CA

$122K - $168K/yr

Full-time

Posted 28 days ago

Job description

NVIDIA's invention of the GPU 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI - the next era of computing - with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, we are increasingly known as "the AI computing company".
We are looking for versatile software engineers for our XLA team. NVIDIA is at the center for the AI revolution that's transforming how people live, work, and interact with technology. Come join us to build high-performance, production-grade software that's at the core of next-generation AI systems.
What you will be doing:
In this role, develop compiler optimization algorithms for deep learning workloads. You will optimize inference and training performance for the JAX framework and the OpenXLA compiler on NVIDIA GPUs at scale. You'll collaborate with our partners in deep learning framework teams and our hardware architecture teams to accelerate the next generation of deep learning software. The scope of these efforts include:
  • Crafting and implementing compiler optimization techniques for deep learning network graphs.
  • Designing novel graph partitioning and tensor sharding techniques for distributed training and inference.
  • Performance tuning and analysis.
  • Code-generation for NVIDIA GPU backends using open-source compilers such as MLIR, LLVM and OpenAI Triton.
  • Designing user facing features in JAX and related libraries and other general software engineering work.
  • Working closely with GPU hardware engineering teams to design AI compiler software features for next-generation GPUs.

What we need to see:
  • Bachelors, Masters or Ph.D. in Computer Science, Computer Engineering, related field (or equivalent experience).
  • 4+ years of relevant work or research experience in performance analysis and compiler optimizations.
  • Ability to work independently, define project goals and scope, and lead your own development effort adopting clean software engineering and testing practices.
  • Excellent C/C++ programming and software design skills, including debugging, performance analysis, and test design.
  • Strong foundation in architecture of CPU, GPUs or other high performance hardware accelerators. Knowledge of high-performance computing and distributed programming.
  • CUDA or OpenCL programming experience is desired but not required.
  • Experience with the following technologies is a huge plus: XLA, TVM, MLIR, LLVM, OpenAI Triton, deep learning models and algorithms, and deep learning framework design.
  • Strong interpersonal skills are required along with the ability to work in a dynamic product-oriented team. A history of mentoring junior engineers and interns is a bonus.

Ways to stand out from the crowd:
  • Experience working deep learning frameworks such as JAX, PyTorch or TensorFlow.
  • Extensive experience with CUDA or with GPUs in general.
  • Experience with open-source compilers such as XLA, LLVM, MLIR or TVM.

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 1, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
#deeplearning
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

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