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Overnight Knowledge Graph Software Engineer Jobs in Raleigh, NC

Senior Software Engineer

Raleigh, NC

$108K - $142K/yr

... or graph data models or message queueing strategies). * Design and implement APIs (e.g., REST or ... Senior Software Engineer Position Requirements: * U.S. Citizenship * The nature of work (i.e ...

Senior Software Engineer

Raleigh, NC · On-site

$108K - $142K/yr

... or graph data models or message queueing strategies). * Design and implement APIs (e.g., REST or ... Senior Software Engineer Position Requirements: * U.S. Citizenship * The nature of work (i.e ...

Senior Software Engineer

Raleigh, NC · On-site

$119K - $157K/yr

They are seeking a Senior Software Engineer to develop software that connects physics-based ... graph data models or message queueing strategies). • Design and implement APIs (e.g., REST or ...

Principal Engineer, AI Platform

Cary, NC · On-site

$125K - $167K/yr

Centralized AI Knowledge Base - org-wide memory plane with knowledge graph, deductive reasoning ... Roost - cryptographically signed software distribution and the Claude Code plugin marketplace This ...

Software Engineer About CoVar CoVar is a small, mission-driven AI/ML R&D software company based in ... Working knowledge of SQL and experience with one or more of MySQL, PostgreSQL, or SQLite * Strong ...

... full stack software engineer developing scalable and resilient event-driven and API-based ... Good knowledge of React, including hooks, context, and routing. * Good knowledge of .Net, including ...

They are seeking a motivated Software Engineer to develop and maintain applications that involve ... knowledge of SQL and experience with one or more of MySQL, PostgreSQL, or SQLite • Strong ...

We are looking for a Senior Software Engineer who enjoys solving complex distributed systems ... Knowledge of authentication, authorization, API security, encryption, and modern security practices.

Software Engineer

Raleigh, NC · On-site +1

$96K - $154K/yr

As a Software Engineer, your main focus will be on designing, developing, testing and collaborating ... Knowledge of Linux operating system and its development tools; any distribution is OK * Experience ...

We are looking for a Senior Software Engineer who enjoys solving complex distributed systems ... Knowledge of authentication, authorization, API security, encryption, and modern security practices.

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Showing results 1-20

Overnight Knowledge Graph Software Engineer information

See Raleigh, NC salary details

$61.7K

$143.4K

$199.8K

How much do overnight knowledge graph software engineer jobs pay per year?

As of Aug 4, 2026, the average yearly pay for overnight knowledge graph software engineer in Raleigh, NC is $143,405.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,600.00 and $168,200.00 per year, depending on experience, location, and employer.

What is the difference between Overnight Knowledge Graph Software Engineer vs Data Engineer?

AspectOvernight Knowledge Graph Software EngineerData Engineer
CredentialsBachelor's or higher in CS, experience with graph databasesBachelor's or higher in CS, experience with data pipelines
Work EnvironmentDeveloping and maintaining knowledge graph systems overnightBuilding and managing data pipelines during regular hours
Industry UsageTech, AI, knowledge management companiesFinance, tech, healthcare, and data-driven industries

The Overnight Knowledge Graph Software Engineer focuses on developing and maintaining knowledge graph systems during overnight shifts, often working with graph databases and semantic data. In contrast, Data Engineers build and manage data pipelines and infrastructure during regular hours. Both roles require strong technical skills, but their focus areas and work schedules differ significantly.

What are the most commonly searched types of Knowledge Graph Software Engineer jobs in Raleigh, NC? The most popular types of Knowledge Graph Software Engineer jobs in Raleigh, NC are:

Software Engineer, AI Tools - Delegate

Qualcomm

Raleigh, NC • On-site

Full-time

Re-posted 28 days ago


Qualcomm rating

8.8

Company rating: 8.8 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

51st of 241 rated software companies


Job description

Job Summary:
Qualcomm Technologies, Inc. is a leading technology innovator that drives digital transformation and creates a smarter, connected future. They are seeking a Machine Learning Engineer to develop and implement advanced machine learning techniques for efficient AI inference on edge devices, contributing to the software design and development of the Qualcomm AI Runtime delegate.
Responsibilities:
• Design and develop the graph compilation stack that lowers the ExecuTorch Edge IR, ONNX and LiteRT graphs to QAIRT APIs.
• Collaborate with cross-functional teams in the AI Software team at Qualcomm to gain knowledge of the capabilities of QAIRT SDK and use it to optimize inference of AI models on Qualcomm AI accelerator IP.
• Validate and optimize the performance and accuracy of software through detailed analysis and testing of machine learning use cases.
• Debug complex issues, perform root cause analysis, and ensure high system reliability.
• Participate in the team's adoption of agentic AI workflows — leveraging tools such as Claude Code, or similar frameworks — to help automate testing, benchmarking, and development activities.
• Participate in design and code reviews.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 2+ years software development experience using C/C++/Python
• Strong software development skills (e.g. data structure and algorithm design, object oriented or other software design paradigm knowledge, software debugging and testing, etc.)
• Strong communication skills (verbal, presentation, written)
• Foundational knowledge of Machine Learning and Deep Learning
• Experience working with one of the Deep Learning frameworks like TensorFlow, PyTorch, ONNX, JAX
Preferred:
• 1+ years Python programming experience
• Experience with different NN architectures: DNNs, CNNs, RNNs/LSTMs, GANs, LLMs, etc.
• Experience with Graph Compilation technologies, like MLIR, a plus
• Familiarity with ExecuTorch, TorchAO, and other related technologies in the PyTorch ecosystem
• Familiarity with TfLite, LiteRT, TF, and other related technologies in the TF ecosystem
• Familiarity with GenAI model architectures – LLM, LVM, LMM
• Experience with optimizing software, specifically AI graph workloads, for embedded platforms
• Interest in or exposure to agentic AI frameworks (e.g. Claude Code) and their application to development or testing automation
• Ability to collaborate across a globally diverse team and multiple interests
Company:
Qualcomm designs wireless technologies and semiconductors that power connectivity, communication, and smart devices. Founded in 1985, the company is headquartered in San Diego, USA, with a team of 10001+ employees. The company is currently Late Stage.

What Qualcomm employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


Qualcomm logo

About Qualcomm

Sourced by ZipRecruiter

Qualcomm is enabling a world where everyone and everything can be intelligently connected. You interact with products and technologies made possible by Qualcomm every day, including 5G-enabled smartphones that double as pro-level cameras and gaming devices, smarter vehicles and cities, and the technology behind the smart, connected factories that manufactured your latest purchase. Our powerful connectivity solutions keep you connected—even in remote areas. Qualcomm 5G and AI innovations are the power behind the connected intelligent edge. You’ll find our technologies behind and inside the innovations that deliver significant value across multiple industries and to billions of people every day.

Industry

Technology, communication and media

Company size

10,000+ Employees

Headquarters location

San Diego, CA, US

Year founded

1985