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Remote Library Jobs in California (NOW HIRING)

RealDefense

Frontend Developer (WPF/XAML)

Pasadena, CA · On-site +1

$113K - $132K/yr

Net Framework class libraries * Experience working with web service SDKs and with HTTP client ... Additional Information We're open to remote or on-site work at our office in Pasadena or Santa ...

RealDefense

Frontend Developer (WPF/XAML)

Pasadena, CA · On-site +1

$113K - $132K/yr

Net Framework class libraries * Experience working with web service SDKs and with HTTP client ... Additional Information We're open to remote or on-site work at our office in Pasadena or Santa ...

Planet

Data Visualization Engineer

San Francisco, CA · On-site +1

... remote sensing data * Knowledge of cartographic and data visualization best practices * Experience in manipulating vector and raster data with core geospatial software and libraries (QGIS, ArcGIS ...

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Remote Library information

See California salary details

$28.1K

$72K

$122.4K

How much do remote library jobs pay per year?

As of Sep 10, 2026, the average yearly pay for remote library in California is $72,028.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,300.00 and $84,400.00 per year, depending on experience, location, and employer.

What is a remote library?

A Remote Library job involves providing library services and support in a virtual or online environment. Responsibilities may include cataloging digital resources, assisting patrons with research, managing databases, and facilitating virtual programs. These roles are typically performed from home or another remote location using digital tools and communication platforms. Remote librarians and library staff help users access information efficiently without needing to visit a physical library.

What does a typical day look like for a remote librarian?

A typical day for a Remote Librarian involves assisting patrons with research requests via email or chat, managing digital collections, updating online catalogs, and collaborating with academic staff or library teams through video meetings. You may also provide virtual instruction on information literacy or database usage, troubleshoot access issues, and curate digital resources relevant to users' needs. While the work is primarily independent, regular communication with colleagues and library users is common. The role offers flexibility but requires proactive time management and comfort with digital communication platforms.

What are the key skills and qualifications needed to thrive in the remote library position, and why are they important?

To excel as a Remote Librarian, you need a solid background in library science, information management, and research methods, often supported by a master's degree in library or information science. Familiarity with digital cataloging systems, online databases, and remote collaboration tools is typically required. Strong communication, self-motivation, and organizational skills help professionals effectively support users and manage resources virtually. These competencies are essential for providing high-quality library services and maintaining efficient access to information in a digital, remote environment.

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

The most popular types of Library jobs in California are:

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

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

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

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

What cities in California are hiring for Remote Library jobs?

Cities in California with the most Remote Library job openings:

Remote Library jobs near you
Infographic showing various Remote Library job openings in California as of September 2026, with employment types broken down into 2% Internship, 81% Full Time, 14% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $72,028 per year, or $34.6 per hour.

Senior GPU Performance Software Engineer

Santa Clara, CA • On-site, Remote

Intel
Manufacturing • 10K+ employees
Learn more about Intelexternal

$195K - $275K/yr

Full-time

Medical, Retirement, PTO

This job post has expired 1 day ago. Applications are no longer accepted.

Key responsibilities

  • Develop high-performance GEMM, convolution, and attention kernels for AI workloads

  • Implement fusion and memory-traffic optimizations to maximize hardware utilization

  • Build analytical and empirical performance models for kernel dispatch and tuning

Intel rating

8.7

Company rating: 8.7 out of 10

Based on 147 frontline employees who took The Breakroom Quiz

Job description

Job Details:Job Description: 

About the Role

The Software and AI (SAI) organization is seeking a highly skilled software engineer to contribute to the development and low-level optimization ofoneDNN, a complex, cross-platform, open-source performance library that serves as the foundation for deep learning applications (github.com/uxlfoundation/oneDNN).
Please Note:This is a low-level software engineering and hardware-acceleration role. It does not involve building, training, or tuning machine learning models. Instead, you will focus on developing highly optimized math primitives, parallel algorithms, and GPU kernels that power industry-leading AI frameworks (such as OpenVINO, TensorFlow, PyTorch, and ONNX Runtime) on Intel hardware.
Key Responsibilities
Kernel Development and Architecture
  • Develop high-performance GEMM, convolution, and attention kernels for AI workloads
  • Design scalable JIT and codegen infrastructure for GPU kernel generation
Low-Level Optimization
  • Implement fusion and memory-traffic optimizations to maximize hardware utilization
  • Optimize mixed-precision and quantized execution paths (e.g., BF16, FP16, INT8, FP8, FP4, etc.)
Performance Modeling and Profiling
  • Build analytical and empirical performance models for kernel dispatch and tuning
  • Profile and eliminate performance bottlenecks across oneDNN GPU primitives and runtime paths
Hardware and Software Co-Design
  • Co-design GPU primitives and kernel architectures for next-generation Intel GPUs
  • Partner with hardware and compiler teams to shape future accelerator capabilities and software stacks
Infrastructure and Validation
  • Improve validation, benchmarking, and CI infrastructure for performance-critical GPU workloads
Why Join Us
Massive Scale
  • Work on a global, high-impact open-source library that scales AI performance across millions of devices worldwide
Cutting-Edge Hardware
  • Get early access to and influence the software stack for Intel's roadmap of next-generation discrete GPUs
Expert Collaboration
  • Work alongside industry-leading experts in GPU compilers, hardware architecture, and performance libraries
Total Rewards
  • Enjoy a competitive package including stock programs, quarterly bonuses, robust healthcare, and highly flexible hybrid/remote working options
What We're Looking For
To be successful in this role, you should demonstrate the following professional traits:
  • A strong ownership mindset - you take initiative on complex, ambiguous technical problems and drive them to resolution
  • A collaborative approach - you work effectively across hardware, compiler, and framework teams to align on shared technical goals
  • A performance-driven curiosity - you are motivated by squeezing every cycle out of hardware and continuously seek deeper understanding of low-level systems
Qualifications:
Minimum Qualifications
  • Education:BSc, MSc, or PhD in Computer Science, Computer Engineering, Mathematics, Physics, or a highly technical related field
  • Core Language:5+ years of professional software development experience with expert-level modern C++
  • Performance Optimizations:2+ years of hands-on experience in programming and kernel optimization on GPUs (via SYCL/DPC++, OpenCL, CUDA, or HIP), or at least 5+ years of similar low-level performance optimization experience on CPUs
  • Hardware Architecture:Strong foundations in computer architecture, cache hierarchies, memory subsystems, and parallel programming paradigms (e.g., multi-threading, SIMD/vectorization)
Preferred Qualifications
  • Math Libraries:Experience developing high-performance math libraries (e.g., GEMM, convolution, reduction, or FFT kernels)
  • Low-Level Tuning:Hands-on experience with GPU assembly-level tuning or compiler optimization
  • Parallel APIs:Familiarity with parallel programming APIs such as OpenMP or oneTBB
  • AI Workload Context:Basic understanding of deep learning primitives (e.g., forward/backward passes) to understand how library code is utilized by upstream frameworks
Job Type:Experienced HireShift:Shift 1 (United States of America)Primary Location: US, Oregon, HillsboroAdditional Locations:US, California, Santa ClaraPosting Statement:All qualified applicants will receive consideration for employment without regard to race, color, religion, religious creed, sex, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, military and veteran status, marital status, pregnancy, gender, gender expression, gender identity, sexual orientation, or any other characteristic protected by local law, regulation, or ordinance.Position of TrustN/ABenefits

We offer a total compensation package that ranks among the best in the industry. It consists of competitive pay, stock bonuses, and benefit programs which include health, retirement, and vacation. Find out more about the benefits of working at Intel.

Annual Salary Range for jobs which could be performed in the US: $195,200.00-275,580.00 USDThe range displayed on this job posting reflects the minimum and maximum target compensation for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific compensation range for your preferred location during the hiring process.

Work Model for this Role

This role will be eligible for our hybrid work model which allows employees to split their time between working on-site at their assigned Intel site and off-site. * Job posting details (such as work model, location or time type) are subject to change.

*

ADDITIONAL INFORMATION: Intel is committed to Responsible Business Alliance (RBA) compliance and ethical hiring practices. We do not charge any fees during our hiring process. Candidates should never be required to pay recruitment fees, medical examination fees, or any other charges as a condition of employment. If you are asked to pay any fees during our hiring process, please report this immediately to your recruiter.

What Intel employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

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About Intel

Sourced by ZipRecruiter

Intel strives to make every facet of semiconductor manufacturing state-of-the-art -- from semiconductor process development and manufacturing, through yield improvement to packaging, final test and optimization, and world class Supply Chain and facilities support. Employees in the Technology and Manufacturing Group are part of a worldwide network of design, development, manufacturing, and assembly/test facilities, all focused on utilizing the power of Moore's Law to bring smart, connected devices to every person on Earth

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1968

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