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Research Software Developer Jobs (NOW HIRING)

IonQ

Senior Research Software Engineer

Boston, MA · On-site

$145K - $191K/yr

Develop, maintain, and support the research and development (R&D) software used by our scientists ... Experience with cloud infrastructure (AWS, GCP, or Azure) and modern DevOps practices. * Experience ...

IonQ

Senior Research Software Engineer

Boston, MA · On-site

$133K - $175K/yr

Own the general software development lifecycle for our R&D codebases, including triaging and fixing ... Experience with cloud infrastructure (AWS, GCP, or Azure) and modern DevOps practices. * Experience ...

UAB

RESEARCH SOFTWARE ARCHITECT-ENT

Tampa, FL · On-site

$104K - $169K/yr

This position will work within Research Computing to architect advanced computing, GPU-enabled ... Partners with other software engineering professionals from across the university and collaborating ...

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How much do research software developer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for research software developer in the United States is $111,845.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $130,000.00 per year, depending on experience, location, and employer.

What is a research software developer?

Research Software Developers are professionals who create, maintain, and optimize software tools and applications that support scientific research. They work closely with researchers to understand their computational needs, develop custom code, and ensure software is reliable and reproducible. These developers often bridge the gap between domain scientists and traditional software engineers, enabling innovative scientific discoveries through robust software solutions.

How do research software developers typically balance research goals with software engineering best practices?

Research Software Developers often work closely with scientists and researchers to create tools that advance specific research objectives. Balancing experimental flexibility with software reliability can be challenging, as projects may evolve rapidly and require iterative prototyping. Developers must prioritize clear documentation, modular code, and version control to ensure that software remains usable and reproducible as research progresses. Collaboration with multidisciplinary teams is common, and effective communication helps align technical solutions with scientific needs.

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

To thrive as a Research Software Developer, you need strong programming skills (typically in Python, C++, or Java), a solid understanding of algorithms, and often an advanced degree in computer science or a related field. Familiarity with version control systems like Git, high-performance computing environments, and tools for data analysis and visualization is commonly required. Excellent problem-solving ability, collaboration, and clear scientific communication are vital soft skills in this role. These capabilities are crucial for developing robust research software, enabling effective teamwork, and ensuring reproducibility and reliability in scientific investigations.

What is the difference between Research Software Developer vs Data Scientist?

AspectResearch Software DeveloperData Scientist
CredentialsTypically requires a degree in computer science, software engineering, or related fieldsUsually holds degrees in statistics, data science, or related disciplines
Work EnvironmentResearch labs, academic institutions, or R&D departmentsBusiness, tech companies, or research organizations
Industry UsageUsed in scientific research, academia, and research-focused organizationsApplied in analytics, business intelligence, and data-driven decision making

Research Software Developers focus on creating software tools and algorithms for research purposes, often working closely with scientists. Data Scientists analyze and interpret complex data to inform decisions. While both roles require programming skills, their primary goals and work environments differ, making each role unique in the research and data analysis landscape.

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Research Software Developer jobs near you
Infographic showing various Research Software Developer job openings in the United States as of August 2026, with employment types broken down into 89% Full Time, 8% Part Time, and 3% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $111,845 per year, or $53.8 per hour.

Research Software Engineer, UD Institute for Data Science

University of Delaware

Newark, DE • On-site

$200K/yr

Full-time

Posted 4 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

593rd of 630 rated colleges and universities

Job description

Research Software Engineer, UD Institute for Data Science
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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