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Library Internship Jobs in Castro Valley, CA (NOW HIRING)

Hands-on experience with TypeScript, React, and modern frontend development, through coursework, personal projects, or prior internships. * Some exposure to design systems, component libraries, or ...

Firmware Intern

San Jose, CA · On-site

$34.44/hr

... libraries and model-execution frameworks. Your work will focus on making the hardware operate ... We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns. You may be a good fit ...

... libraries and model-execution frameworks. Your work will focus on making the hardware operate ... We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns. You may be a good fit ...

... libraries and model-execution frameworks. Your work will focus on making the hardware operate ... We are looking for Summer '26, Fall '26, Spring '27, and Summer '27 interns. You may be a good fit ...

Controls Engineer

San Francisco, CA · On-site

$100 - $200/hr

This is not a paper-reading internship. You'll ship code that runs on real hardware, debug edge ... libraries or custom Jacobian-based implementations. * Experience with rigid-body kinematics ...

Showing results 21-40

Library Internship information

See Castro Valley, CA salary details

$9

$17

$25

How much do library internship jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for library internship in Castro Valley, CA is $17.94, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $20.24 per hour, depending on experience, location, and employer.

What is a library internship?

A library internship is a temporary position that provides hands-on experience working in a library setting. Interns typically assist with a variety of tasks such as cataloging books, helping patrons, organizing resources, supporting library events, and learning about library management. These internships are often designed for students or recent graduates interested in library science, information studies, or related fields. The experience gained can help interns decide if a career in library services is right for them and can enhance their resumes for future employment.

What types of projects or responsibilities can I expect during a library internship?

During a library internship, you can expect a variety of hands-on experiences including assisting with cataloging materials, helping patrons at the circulation desk, supporting library programs and events, and organizing collections. Interns often work closely with librarians and staff, gaining exposure to both behind-the-scenes operations and public-facing services. This role provides an excellent opportunity to develop practical skills in information management, customer service, and teamwork within a supportive environment. The specific projects may vary depending on the library’s size and focus, but most internships offer a well-rounded introduction to daily library operations.

What are the key skills and qualifications needed to thrive as a library intern, and why are they important?

To thrive as a Library Intern, you need strong organizational skills, attention to detail, and a basic understanding of library science principles, often supported by current enrollment in a library science or related program. Familiarity with library cataloging systems like MARC, integrated library systems (ILS), and digital databases is highly beneficial. Excellent communication, customer service skills, and a willingness to learn make an intern stand out in supporting library patrons and staff. These skills and qualities are crucial for efficient library operations, positive user experiences, and personal professional development.

What is the difference between Library Internship vs Library Assistant?

AspectLibrary InternshipLibrary Assistant
Required CredentialsTypically students or recent graduates; may require coursework in library scienceHigh school diploma or equivalent; some roles may prefer prior experience
Work EnvironmentEducational settings, libraries, often part-time or seasonalPublic, academic, or special libraries; more regular hours
Employer & Industry UsageEducational institutions, libraries, internships for trainingLibraries, public institutions, supporting daily operations
Common Search & ComparisonOften searched by students seeking experienceOften searched by job seekers looking for entry-level roles

In summary, a Library Internship is typically a temporary, educational position aimed at students or recent graduates gaining experience, while a Library Assistant is a more permanent, entry-level role supporting library operations. Both roles are common in library settings but differ mainly in duration, credentials, and responsibilities.

What do library interns do?

Library interns assist with tasks such as organizing and shelving books, helping patrons locate materials, and supporting library programs. They may also gain experience with cataloging systems, customer service, and library operations under supervision.

What are the most commonly searched types of Library jobs in Castro Valley, CA?

The most popular types of Library jobs in Castro Valley, CA are:

What are popular job titles related to Library Internship jobs in Castro Valley, CA?

For Library Internship jobs in Castro Valley, CA, the most frequently searched job titles are:

What cities near Castro Valley, CA are hiring for Library Internship jobs?

Cities near Castro Valley, CA with the most Library Internship job openings:

Infographic showing various Library Internship job openings in Castro Valley, CA as of August 2026, with employment types broken down into 6% Internship, 68% Full Time, 23% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $37,309 per year, or $17.9 per hour.

Kernel Engineer - New Grad

Cerebras Systems

Sunnyvale, CA • On-site

Full-time

Posted 11 days ago


Key responsibilities

  • Help design and implement machine learning and linear algebra kernels for the Cerebras Wafer-Scale Engine.

  • Develop and debug high-performance kernel routines using low-level programming techniques and the Cerebras Software Language.

  • Apply parallel programming algorithms to map computational workloads efficiently onto the Cerebras architecture.


Job description

Cerebras Systems builds the world's largest AI chip, 56 times larger than GPUs. This architecture allows Cerebras to deliver industry-leading training and inference speeds; over 10 times faster than GPU-based hyperscale cloud inference services.
This order of magnitude increase in speed is transforming the user experience of AI applications, unlocking real-time iteration and increasing intelligence via additional agentic computation.
Cerebras works with the leading model labs, global enterprises, and cutting-edge AI-native startups. OpenAI recently announced a multi-year partnership with Cerebras, to deploy 750 megawatts of scale, transforming key workloads with ultra high-speed inference.
About the Role
As a Kernel Engineer at Cerebras, you will develop high-performance software at the intersection of hardware and software for cutting-edge artificial intelligence and high-performance computing workloads.
You will help implement, optimize, and validate machine learning and linear algebra operations for the Cerebras Wafer-Scale Engine, our custom massively parallel processor architecture. Working alongside experienced kernel, compiler, performance, and hardware engineers, you will learn how algorithms are mapped to specialized hardware and contribute to software that maximizes compute utilization and system performance.
You will be part of a team responsible for the design, development, performance tuning, and validation of foundational ML and HPC kernels. This is an excellent opportunity for a new graduate who is interested in computer architecture, parallel programming, low-level software, and machine learning systems.
Responsibilities
  • Help design and implement machine learning and linear algebra kernels for the Cerebras Wafer-Scale Engine.
  • Develop and debug high-performance kernel routines using low-level programming techniques and the Cerebras Software Language, a custom C-like language.
  • Apply parallel programming algorithms to map computational workloads efficiently onto the Cerebras architecture.
  • Use mathematical analysis, performance data, and profiling tools to evaluate kernel behavior and inform design decisions.
  • Identify and investigate correctness, performance, and hardware utilization issues.
  • Develop unit tests and system-level validation methodologies to verify the functionality and performance of kernel libraries.
  • Collaborate with kernel, compiler, performance, and hardware engineers to improve software and system performance.
  • Study emerging machine learning workloads and contribute to the evolution of the kernel library.
  • Participate in code reviews, technical discussions, and software development processes.
  • Build an understanding of the Cerebras architecture, instruction set, memory system, and communication model.
Minimum Skills & Qualifications
  • Bachelor's, Master's, or PhD in Computer Science, Computer Engineering, Electrical Engineering, Mathematics, or a related field.
  • Strong programming fundamentals in C++ and familiarity with Python.
  • Understanding of foundational computer architecture concepts such as processors, memory hierarchies, instruction execution, or data movement.
  • Knowledge of data structures, algorithms, and software development fundamentals.
  • Experience debugging software through coursework, internships, research, co-op placements, or technical projects.
  • Strong analytical and problem-solving skills.
  • Interest in low-level software, parallel computing, performance optimization, or hardware/software co-design.
  • Ability to learn unfamiliar systems and collaborate effectively within a technical team.
Preferred Skills & Qualifications
  • Research, internships, or projects involving kernel development, compilers, computer architecture, HPC, or systems programming.
  • Familiarity with parallel algorithms, multithreaded programming, or distributed memory systems.
  • Exposure to programming accelerators such as GPUs, FPGAs, or other specialized processors.
  • Experience with low-level programming, assembly language, CUDA, OpenCL, or a domain-specific language.
  • Familiarity with machine learning concepts, neural networks, or frameworks such as PyTorch or TensorFlow.
  • Exposure to numerical computing, linear algebra, or HPC kernels.
  • Experience using profiling, benchmarking, or performance analysis tools.
  • Familiarity with library or API development practices.

Why Join Cerebras
People who are serious about software make their own hardware. At Cerebras, we have built a breakthrough architecture that is unlocking new opportunities for the AI industry. With dozens of model releases and rapid growth, we've reached an inflection point in our business. Members of our team tell us there are five main reasons they joined Cerebras:
  1. Build a breakthrough AI platform beyond the constraints of the GPU.
  2. Publish and open source their cutting-edge AI research.
  3. Work on one of the fastest AI supercomputers in the world.
  4. Enjoy job stability with startup vitality.
  5. Our simple, non-corporate work culture that respects individual beliefs.

Find out more about what it's like to work at Cerebras here!
Apply today and become part of the forefront of groundbreaking advancements in AI!
Cerebras Systems is committed to creating an equal and diverse environment and is proud to be an equal opportunity employer. We celebrate different backgrounds, perspectives, and skills. We believe inclusive teams build better products and companies. We try every day to build a work environment that empowers people to do their best work through continuous learning, growth and support of those around them.
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