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Library Science Masters Jobs in California (NOW HIRING)

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site +1

$116K - $148K/yr

Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics ... science, electrical engineering, or related fields/experience * Strong Python programming skills ...

NextSense

Senior ML/Research Scientist

Mountain View, CA · On-site

$116K - $148K/yr

Masters in computational neuroscience, systems neuroscience, bioengineering, bioinformatics ... science, electrical engineering, or related fields/experience * Strong Python programming skills ...

Tempus AI, Inc.

Bioinformatics Scientist

Redwood City, CA · On-site

$115K - $175K/yr

D. or a Masters with 3+ years of industry experience in Bioinformatics, Computational Biology ... science and biological computing libraries. * Expertise with cloud computing environments (AWS or ...

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site

D. or a Masters with 3+ years of industry experience in Bioinformatics, Computational Biology ... science and biological computing libraries. * Expertise with cloud computing environments (AWS or ...

Tempus

Bioinformatics Scientist

Redwood City, CA · On-site +1

D. or a Masters with 3+ years of industry experience in Bioinformatics, Computational Biology ... science and biological computing libraries. * Expertise with cloud computing environments (AWS or ...

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Library Science Masters information

See California salary details

$30.6K

$64.3K

$101.2K

How much do library science masters jobs pay per year?

As of Sep 11, 2026, the average yearly pay for library science masters in California is $64,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,800.00 and $74,000.00 per year, depending on experience, location, and employer.

What is a library science masters?

A Library Science Masters degree, often referred to as a Master of Library and Information Science (MLIS or MLS), is a graduate-level program designed to prepare students for professional roles in libraries, archives, and other information organizations. This degree covers topics such as information organization, research methods, digital libraries, cataloging, and library management. Graduates are equipped to work as librarians, archivists, information specialists, and in other related roles in schools, public libraries, academic institutions, and corporations.

What types of career paths can graduates with a library science masters pursue beyond traditional library settings?

Graduates with a Library Science Master's degree are not limited to working in public or academic libraries; they can also pursue roles in information management, digital archiving, corporate research, database administration, and museum curation. Many organizations, such as law firms, government agencies, and tech companies, seek professionals with strong information organization and retrieval skills. This degree can open doors to positions like data analyst, records manager, digital asset manager, and knowledge management specialist, providing a diverse range of career advancement opportunities.

What are the key skills and qualifications needed to thrive with a library science masters, and why are they important?

To thrive with a Master's in Library Science, you need strong research, information management, and organizational skills, typically supported by an MLS or MLIS degree. Familiarity with library databases, cataloging systems like MARC, and digital resource management tools is essential. Excellent communication, adaptability, and customer service skills help build community relationships and support diverse patron needs. These competencies ensure effective organization, access, and dissemination of information in modern library environments.

What is the difference between Library Science Masters vs Archivist?

AspectLibrary Science MastersArchivist
Required CredentialsMaster's degree in Library Science or Information ScienceMaster's degree in Library Science, Archival Studies, or related field
Work EnvironmentPublic, academic, or special librariesArchives, museums, or historical repositories
Employer & Industry UsageLibraries, educational institutions, government agenciesHistorical societies, museums, government archives
Common Search & ComparisonOften compared for information management rolesSpecialized in preserving and managing historical records

While both roles require a Master's in Library Science or related fields, Library Science Masters graduates typically work in public or academic libraries managing collections and assisting users. Archivists focus on preserving historical records and documents in archives or museums. The two careers overlap in information management but differ in their focus on user services versus preservation of historical materials.

Is a master's degree in library science worth it?

A master's degree in library science is often required for professional librarian positions and can lead to higher salaries and more advanced roles. It provides specialized knowledge in information management, cataloging, and digital resources, which are valuable skills in the field.

What can I do with a master's of library science?

A master's of library science prepares individuals for roles such as librarian, archivist, information specialist, or library director. These positions involve managing collections, providing research assistance, and using library management systems; certification or state licensure may be required. Graduates can work in public, academic, special, or corporate libraries and information centers.

What are the most commonly searched types of Library Science Masters jobs in California?

The most popular types of Library Science Masters jobs in California are:

What are popular job titles related to Library Science Masters jobs in California?

For Library Science Masters jobs in California, the most frequently searched job titles are:

What job categories do people searching Library Science Masters jobs in California look for?

The top searched job categories for Library Science Masters jobs in California are:

What cities in California are hiring for Library Science Masters jobs?

Cities in California with the most Library Science Masters job openings:

Library Science Masters jobs near you
Infographic showing various Library Science Masters job openings in California as of September 2026, with employment types broken down into 82% Full Time, and 18% Part Time. Highlights an 100% In-person job distribution, with an average salary of $64,339 per year, or $30.9 per hour.

Senior AI Software Engineer, Kernel Libraries

Santa Clara, CA • On-site

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

$143K - $189K/yr

Full-time

Re-posted 3 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We're looking for outstanding AI systems engineers to develop groundbreaking technologies in the inference systems software stack! We build innovative AI systems software to accelerate for AI inference. As a member of the team, you'll develop libraries, code generators, and GPU kernel technologies for NVIDIA's hardware architecture. This means designing and building things like new abstractions, efficient attention kernel implementations, new LLM inference runtimes components, and kernel code generators to accelerate large language models, agents, and other high-impact AI workloads.

What you'll be doing:

  • Innovating and developing new AI systems technologies for efficient inference

  • Designing, implementing, and optimizing kernels for high impact AI workloads

  • Designing and implementing extensible abstractions for LLM serving engines

  • Building efficient just-in-time domain specific compilers and runtimes

  • Collaborating closely with other engineers at NVIDIA across deep learning frameworks, libraries, kernels, and GPU arch teams

  • Contributing to open source communities like FlashInfer, vLLM, and SGLang

What we need to see:

  • Masters degree in Computer Science, Electrical Engineering, or related field (or equivalent experience); PhD are preferred

  • 6+ years (academic/ industry) experience with ML/DL systems development preferable

  • Strong experience in developing or using deep learning frameworks (e.g. PyTorch, JAX, TensorFlow, ONNX, etc) and ideally inference engines and runtimes such as vLLM, SGLang, and MLC.

  • Strong Python and C/C++ programming skills

Ways to stand out from the crowd:

  • Background in domain specific compiler and library solutions for LLM inference and training (e.g. FlashInfer, Flash Attention)

  • Expertise in inference engines like vLLM and SGLang

  • Expertise in machine learning compilers (e.g. Apache TVM, MLIR)

  • Strong experience in GPU kernel development and performance optimizations (especially using CUDA C/C++, cuTile, Triton, or similar)

  • Open source project ownership or contributions

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 6, 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

Pay

Benefits

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

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