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Github Jobs in Delaware (NOW HIRING)

Preferred Skill and Experience • Experience in SQL query writing. • Experience in GitHub Copilot or AI-assisted development tools. • Experience in AI-assisted test case generation. • ...

Sr Analyst, Execution

Wilmington, DE · Hybrid

$85K - $113K/yr

... Github, Bitbucket. Strong working knowledge of T-SQL and/or P-SQL, specifically to write complex, highly optimized queries across large volumes of data his highly desired. * Experience on scheduling ...

Sr Analyst, Execution

Wilmington, DE · On-site

$85K - $113K/yr

... Github, Bitbucket. Strong working knowledge of T-SQL and/or P-SQL, specifically to write complex, highly optimized queries across large volumes of data his highly desired. * Experience on scheduling ...

$44.25 - $60.50/hr

Familiar with LLMs, GitHub or CoPilot for building and maintaining robust applications * Exposure to Infrastructure as Code and API development in the context of public cloud. * Familiarity with ...

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How much do github jobs pay per year?

As of Sep 10, 2026, the average yearly pay for github in Delaware is $137,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $160,100.00 per year, depending on experience, location, and employer.

What is a GitHub job?

A GitHub job typically refers to a role related to GitHub, either as an employee of GitHub Inc. or a position that heavily involves using GitHub for version control and collaboration. Jobs at GitHub Inc. range from engineering and product management to customer support and sales. Outside the company, many software development or DevOps roles require proficiency with GitHub to manage code repositories, collaborate with teams, and automate workflows.

What is a GitHub developer?

A GitHub developer is someone who uses GitHub, a web-based platform for version control and collaboration, to manage and contribute to software development projects. They utilize Git, a distributed version control system, to track changes in code, collaborate with team members, and manage project workflows. GitHub developers often contribute to open-source projects, participate in code reviews, and use features like pull requests and issues to coordinate development efforts. Their work helps ensure code quality, maintainability, and seamless collaboration in software projects.

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

To excel as a GitHub Developer, you need strong programming skills, experience with version control, and a solid understanding of collaborative software development workflows. Familiarity with Git, continuous integration systems like GitHub Actions, and knowledge of markdown and issue tracking are typically required. Effective communication, teamwork, and problem-solving abilities help developers contribute to projects and resolve issues efficiently. These skills are crucial for successful code collaboration, project management, and delivering high-quality open-source or enterprise software solutions.

What are some common challenges faced by software engineers working at GitHub, and how can they be addressed?

Software engineers at GitHub often work on large-scale, distributed systems that require collaboration across multiple teams and time zones. One common challenge is maintaining effective communication and coordination while working remotely. Engineers address this by utilizing robust documentation, regular asynchronous updates, and collaborative tools like pull requests and code reviews. Additionally, managing the complexity of a platform used by millions of developers requires strong testing practices and a focus on scalability and security.

What is the difference between Github vs Software Developer?

AspectGithubSoftware Developer
Primary RolePlatform for version control and collaborationDesigning, coding, testing software applications
Required SkillsKnowledge of Git, version control, collaboration toolsProgramming languages, problem-solving, software design
Work EnvironmentOnline, collaborative, open-source projectsOffice or remote, development teams, client projects
Industry UsageUsed by developers for code hosting and collaborationDeveloping software across various industries

Github is a platform that facilitates version control and collaboration among developers, while a Software Developer is a professional who creates software applications. Github is a tool used within the software development process, whereas a Software Developer is the role that involves designing and coding software. Both are essential in the tech industry, but serve different purposes.

How to get a job from GitHub?

To get a job involving GitHub, demonstrate strong version control skills by maintaining well-organized repositories and contributing to open-source projects. Employers often look for proficiency in Git, collaboration, and coding in relevant programming languages, so building a solid portfolio on GitHub can improve your chances of being hired.

What are the most commonly searched types of Github jobs in Delaware?

The most popular types of Github jobs in Delaware are:

What are popular job titles related to Github jobs in Delaware?

For Github jobs in Delaware, the most frequently searched job titles are:

Infographic showing various Github job openings in Delaware as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, and 5% Contract. Highlights an 71% Physical, 7% Hybrid, and 22% Remote job distribution, with an average salary of $137,995 per year, or $66.3 per hour.

Research Software Engineer, UD Institute for Data Science

Newark, DE

University of Delaware
Colleges, Universities, and Professional Schools • 1 - 5K employees

$200K/yr

Full-time

Posted 9 days ago


University Of Delaware rating

5.7

Company rating: 5.7 out of 10

Based on 21 frontline employees who took The Breakroom Quiz


Job description

Research Software Engineer, UD Institute for Data Science

Apply now Job no: 503750
College / VP Area: Research Office
Work type: Staff
Location: Newark, DE
Categories: Research & Laboratory, Full Time

Pay Grade: 31S
 
Context of Job:
 
The University of Delaware (UD) invites applications for a Research Software Engineer (RSE) to join the NSF AI Institute for Human-AI Cooperation (HAIC). The HAIC Institute (https://haicinstitute.org/) is a 5-year (2026-2031), $21.5 million, multi-institutional research initiative supported by the National Science Foundation. HAIC brings together researchers and partners to develop trustworthy AI that strengthens human expertise, shapes the future of rehabilitation and health care, and cultivates the next generation of leaders in AI. The RSE will work with HAIC researchers (from UD, University of Florida, University of Pennsylvania,Princeton University and other partner institutes) to build, validate, and maintain robust and scalable open-source software tools and cyberinfrastructure that support institute-wide research in artificial intelligence (including reinforcement learning and large vision-language models), biophysical digital twins, multimodal data processing, personalized rehabilitation, and human-AI symbiosis. The RSE will leverage high-performance computing (HPC) systems including University of Florida's HiPerGator NVIDIA SuperPod and NSF funded NAIRR resources, and work extensively with research computing professionals and NVIDIA systems engineers. Software needs include supporting reproducible research, interfacing with real-time systems and databases, and translation of AI models for a variety of deployment settings. The RSE will join a growing cohort of RSE at UD, with coordinated professional development opportunities.
This position is supported by the U.S. National Science Foundation through U.S. National Science Foundation under Cooperative Agreement No. 2433450. Continuation of this position is contingent upon performance and continued availability of these funds. Notice of non-renewal is not required.
 
Major Responsibilities
  • Participate as a member of a highly technical, research driven team, forging close working relationships with HAIC researchers (faculty, post-doctoral, students, and staff) across multidisciplinary working groups.
  • Provide support to HAIC researchers to use research computing hardware and software for workflows involving AI, data science, machine learning, and physics simulation, especially machine learning frameworks with interfaces for monitoring training, robust checkpointing, and validation suites.
     
  • Assist researchers to develop, deploy, scale, and optimize workflows that effectively and efficiently use these high-performance computing resources.
  • Utilize industry standard research software practices such as establish software version control, pipelines, institute standard testing frameworks, maintain documentation, manage public GitHub repositories to support research dissemination, applying best practices when authoring and assisting in the pursuit of modular and maintainable software codebases that accelerate scientific discovery and societal impact.
  • Help to identify appropriate hardware, software, and cyberinfrastructure platforms for different stages of research and development, including data collection, storage, and integration, along with computational-focused education and workforce development activities, assist in procurement, set-up, testing, and documentation.
  • Enable the translation of software and models toward deployment in various settings and platforms.
  • Serve as a computational liaison to research computing and IT groups at UD and partner institutions.
  • Educate, train, and advise both novice and experienced researchers regarding software engineering, shared high performance computing environments, associated software and services-adapting to individual needs and experiences-and assist in the development of workshops and other training resources.
  • Work proactively to broaden engagement between HAIC and the research cyberinfrastructure user community.
  • Perform other related duties as assigned.
  • Maintain knowledge of applicable laws and developments in state-of-the-art technology, equipment, and systems to support the institute projects.
Possible Project-Specific Technical Responsibilities:
  • Biophysical Modeling & Omniverse Integration: Assist in the development and translation of biophysical, kinematic, and musculoskeletal models (e.g., OpenSim, MuJoCo) into the NVIDIA Omniverse environment to support dynamic digital twin simulations.
  • Multimodal Data & Sensor Fusion: Implement or accelerate processing and inference algorithms for real-time multimodal data, natural language, signal, and image processing.
  • Integration of Large Language Models with Knowledge Retrieval: Assist in the use and integration of APIs, open-weight models, etc. combined with large graph databases.
Qualifications
  • Bachelor's degree in computer science, electrical and computer engineering, data science, statistics, biomedical engineering, mechanical engineering, operations research, robotics, computational neuroscience, applied mathematics, physics, or a closely-related discipline and five years of related work experience. Master's or PhD is preferred.
  • Experience with the Linux operating system and utilizing the command line interface.
    Demonstrated ability and experience with scripting and programming languages (Bash, Python).
  • Hands-on experience with shared high-performance computing environments and workload scheduling tools (e.g., SLURM).
  • Extensive experience with version control and git, with contributions to open source repositories.
  • Ability to work effectively with researchers (both computational and non-computational) within multi-institutional teams to define, clarify, and execute requirements and goals.
  • Excellent oral and written communication skills.
  • Ability to manage multiple projects, keeping oriented to the goals and tracking details, efficiently communicating on issues and outcomes, and executing independently and in collaboration.
  • Effective organizational, interpersonal, and customer-service skills.
  • Aptitude for learning quickly and functioning in a dynamic technological environment.

Preferred Qualifications:

  • Experience with parallel computing, GPU operation (CUDA Toolkit), multi-GPU training, and distributed frameworks for machine learning (e.g. PyTorch Distributed).
  • Prior software engineering experience within AI, scientific computing, or robotics domains in industry, academia, government, or non-profit organizations, which involved architecting and managing codebases for large-scale technical projects
  • Prior contribution to computationally-focused research publications and/or software, or contribution to creating developer documentation, API guides, and descriptions of software use cases or other write-ups.
  • Experience with modern collaborative productivity environments (e.g., Slack, Trello, etc.).
  • Experience utilizing AI-assisted programming environments (e.g., GitHub Copilot, Codex, Cursor, or LLM-driven coding tools) to streamline software development, unit testing, and refactoring.
  • Course work or experience in one or more areas: AI, data science, machine learning, computer vision, signal processing, knowledge representation (e.g., knowledge graphs), information retrieval, statistics, biophysical modeling, robotics, or neuroengineering.
  • Experience developing within NVIDIA Omniverse, Isaac Sim, Isaac Gym, or custom CUDA kernels.

Notice of Non-Discrimination and Equal Opportunity
The University of Delaware does not discriminate against any person on the basis of race, color, national origin, sex, gender identity or expression, sexual orientation, genetic information, marital status, disability, religion, age, veteran status or any other characteristic protected by applicable law in its employment, educational programs and activities, admissions policies, and scholarship and loan programs as required by Title IX of the Educational Amendments of 1972, the Americans with Disabilities Act of 1990, Section 504 of the Rehabilitation Act of 1973, Title VI and VII of the Civil Rights Act of 1964, and other applicable statutes and University policies. The University of Delaware also prohibits unlawful harassment including sexual harassment and sexual violence.

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