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Engineering Librarian Jobs in Raleigh, NC (NOW HIRING)

NVE

TECHNICAL DRAWING ADMINISTRATOR

Durham, NC · On-site

$22 - $27.75/hr

... library of facility drawings using AutoCAD and related software, ensuring all drawings accurately reflect current conditions. This position supports the contractor's engineering and maintenance ...

NVE

TECHNICAL DRAWING ADMINISTRATOR

Durham, NC · On-site

$22 - $27.75/hr

... library of facility drawings using AutoCAD and related software, ensuring all drawings accurately reflect current conditions. This position supports the contractor's engineering and maintenance ...

Pendo

GTM AI Engineer

Raleigh, NC · On-site

You share what works with the team, contribute to the prompt library, and stay comfortable learning while the ground moves under you. Must-haves * 3-5 years of experience in software engineering ...

Pendo

GTM AI Engineer

Raleigh, NC

You share what works with the team, contribute to the prompt library, and stay comfortable learning while the ground moves under you. Must-haves * 3-5 years of experience in software engineering ...

CoVar

Software Engineer

Durham, NC · On-site

They are seeking a motivated Software Engineer to develop and maintain applications that involve ... libraries such as NumPy, SciPy, pandas, scikit-learn, PyTorch, etc. • Experience developing real ...

MrBeast

Media Systems Engineer

Raleigh, NC · On-site

Manage LTO tape library operations end to end: archival writes, verification/checksums, restores ... engineering / systems administration experience in media & entertainment - studio, network ...

MrBeast

Media Systems Engineer

Raleigh, NC · On-site +1

Manage LTO tape library operations end to end: archival writes, verification/checksums, restores ... engineering / systems administration experience in media & entertainment - studio, network ...

Cherry Bekaert

AI Prompt and Skills Engineer

Raleigh, NC · On-site

$70K - $90K/yr

Documents prompt engineering patterns, skill specifications and build processes in the CoE ... library organized. * Analytical mindset with attention to detail, particularly in evaluating AI ...

Cherry Bekaert

AI Prompt and Skills Engineer

Raleigh, NC · On-site +1

$70K - $90K/yr

Documents prompt engineering patterns, skill specifications and build processes in the CoE ... library organized. * Analytical mindset with attention to detail, particularly in evaluating AI ...

Alpha Net Consulting LLC.

SharePoint Designer

Raleigh, NC · On-site

$47.75 - $62.25/hr

Company Description Technical Specialist a contractor for the Engineering Content Management group ... libraries & content types. Design SharePoint and web-based solutions to support Transit, Central ...

Alpha Net Consulting LLC

SharePoint Designer

Raleigh, NC

$47.75 - $62.25/hr

Technical Specialist a contractor for the Engineering Content Management group who will be ... libraries & content types. Design SharePoint and web-based solutions to support Transit, Central ...

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All JobsEngineering Librarian JobsEngineering Librarian Jobs in Raleigh, NC

Engineering Librarian information

See Raleigh, NC salary details

$30.1K

$63.4K

$99.6K

How much do engineering librarian jobs pay per year?

As of Aug 15, 2026, the average yearly pay for engineering librarian in Raleigh, NC is $63,373.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,100.00 and $72,900.00 per year, depending on experience, location, and employer.

What does an engineering librarian do?

An Engineering Librarian supports the research and information needs of engineers, students, and faculty by providing access to technical resources, databases, and research guidance. They assist with literature searches, manage collections of engineering-related materials, and teach information literacy skills. Additionally, they may collaborate on research projects and stay updated on emerging trends in engineering and library science to enhance access to relevant information.

What are the key skills and qualifications needed to thrive as an engineering librarian?

To thrive as an Engineering Librarian, you need a background in library and information science (often an ALA-accredited MLIS) combined with knowledge of engineering literature, data sources, and research methods. Familiarity with research databases, citation management tools, institutional repositories, and metadata standards is highly valued, along with certifications like the Special Libraries Association (SLA) membership. Strong communication, problem-solving, and instructional skills help in engaging with students, faculty, and researchers. These competencies ensure effective support for engineering research, information literacy training, and resource management in an academic or corporate environment.

What is an engineering librarian?

An engineering librarian is a specialized librarian who manages technical information and resources related to engineering fields. They assist researchers and students by organizing engineering literature, providing access to technical databases, and supporting information literacy skills, often requiring knowledge of engineering concepts and library science tools.

What are popular job titles related to Engineering Librarian jobs in Raleigh, NC?

For Engineering Librarian jobs in Raleigh, NC, the most frequently searched job titles are:

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Engineering Librarian jobs near you
Infographic showing various Engineering Librarian job openings in Raleigh, NC as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $63,373 per year, or $30.5 per hour.

Senior Deep Learning Framework Communications Engineer

Nvidia

Durham, NC

Full-time

Re-posted 24 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

7th of 244 rated software companies

Job description

NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars.

We are looking for a motivated Deep Learning engineer to bring advanced communication technologies into AI stacks, including PyTorch, TRT-LLM, vLLM, SGLang, JAX, etc. You will be working with the team that created communication libraries like NCCL, NVSHMEM & technology like GPUDirect -- for scaling Deep Learning and HPC applications. Your customers will have diverse multi-GPU demands, ranging from training on scales up to 100K GPUs to inference down at microsecond latency. Communication performance between the GPUs has a direct impact on AI applications. Your work in AI toolkits will make all of those easier for the community. This is an outstanding opportunity for someone with an AI background to advance the state of the art in this space. Are you ready to contribute to the development of innovative technologies and help realize NVIDIA's vision?

What you will be doing:

  • Integrate new communication libraries features in AI frameworks: from PoC to performance analysis to production

  • Perform deep analysis of AI workloads and frameworks to identify multi-GPU communication requirements and opportunities. Collaborate hands-on with teams working on the latest AI models.

  • Improve AI compilers to hide communications or perform automatic fusion.

  • Conduct in-depth AI workload performance characterization on multi-GPU clusters.

  • Design fault-tolerant and elastic solutions for large-scale or dynamic AI workloads.

  • Author custom communication or fused compute-communication kernels to showcase ultimate performance on NV platforms.

  • Influence the roadmap of communication libraries - NCCL & NVSHMEM.

  • Collaborate with a very dynamic team across multiple time zones.

What we need to see:

  • B.S, M.S. or PHD in Computer Science, or related field (or equivalent experience) with 5+ software engineering and HPC/AI experience

  • Development or integration experience with Deep Learning Frameworks such PyTorch, JAX, and Inference Engines such as TRT-LLM, vLLM, SGLang

  • Rapid prototyping and development with Python, C++, CUDA or related DSLs (Triton, cuTe)

  • Solid grasp of AI models, parallelisms, and/or compiler technologies (e.g. torch.compile)

  • Experience conducting performance benchmarking on AI clusters. Familiarity with at least one performance profiler toolchain (PyTorch profiler, NVIDIA Nsight Systems)

  • Understanding of HPC/AI communication concepts (1-sided v 2-sided communication, elasticity, resiliency, topology discovery, etc)

  • Adaptability and passion to learn new areas and tools

  • Flexibility to work and communicate effectively across different teams and timezones

Ways to stand out from the crowd:

  • Experience with parallel programming on at least one communication runtime (NCCL, NVSHMEM, MPI). Good understanding of computer system architecture, HW-SW interactions and operating systems principles (aka systems software fundamentals)

  • Expertise in one or more of these areas: Training, Distributed inference, MoE, Reinforcement Learning, kernel authoring (on CUDA, Triton, cuTe, etc). Experience with programming for compute & communication overlap in distributed runtimes

  • Experience with AI compiler pattern matching and lowering. Solid understanding of memory hierarchy, consistency model, and tensor layout

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 for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 16, 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

Year founded

1993

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