Research Scientist I/II - Partnership for Advanced Computing Environment (PACE) (Open Rank)

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our strategic plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

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Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech's faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation's top 20 universities for research and development spending and No. 1 among institutions without a medical school.

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Georgia Tech's mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do:

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Over the next decade, Georgia Tech will become an example of inclusive innovation, a leading technological research university of unmatched scale, relentlessly committed to serving the public good; breaking new ground in addressing the biggest local, national, and global challenges and opportunities of our time; making technology broadly accessible; and developing exceptional, principled leaders from all backgrounds ready to produce novel ideas and create solutions with real human impact.

Atlanta, Georgia

About the School of Office of Information Technology at the Georgia Institute of Technology

Located in the heart of vibrant Atlanta, Georgia, the Partnership for an Advanced Computing Environment (PACE) team defines and manages centralized research computing services at the Georgia Institute of Technology. We facilitate research efforts and foster strategic partnerships to provide Georgia Tech researchers with an unrivaled advantage, empowering them to lead their disciplines for the advancement of science and society across the globe. In addition to high-performance computing, we incorporate emerging cloud, network, data analytics, and storage technologies. Our growing team directly supports faculty, students, and other researchers resulting in a dynamic environment filled with intellectual stimulation and continuous innovation.

The OIT (Office of Information Technology) department at the Georgia Institute of Technology in Atlanta, Georgia, invites applications for the Partnership for Advanced Computing Environment (PACE). Applications will be considered at all ranks. The Partnership for Advanced Computing Environment (PACE) seeks a skilled junior or mid-career Research Scientist to join us. The successful candidate will join the Research Software Engineer (RSE) team in PACE, in collaboration with other teams, and play a key role in building and operating an AI-centric platform, facilitating AI workflow porting on the PACE environment, and developing internal tools to enhance the efficient operation and researchers' scientific/AI workflow. This role will work closely with the Platform and Architecture (Platform) and Cyberinfrastructure (CI) Teams to support GT faculty on research projects and evaluate underlying technologies.

This role requires strong software engineering expertise, system integration experience, excellent communication skills, and the ability to bring innovative solutions to researchers' projects and implement them into deliverables.

Georgia Institute of Technology Research Computing PACE (The Partnership for Advanced Computing Environment) Center is pleased to announce an exciting career opportunity as a Research Software Engineer focused on building and operating AI-centric platforms. This role emphasizes scalable, secure, multi-tenant infrastructure for AI/ML workloads (e.g. JupyterHub, MLflow) supporting everything from interactive development to model training, tracking, and deployment on scalable compute backends (HPC cluster). This position will also serve as a consulting role, collaborating with domain scientists to develop scientific/AI workflows on the PACE system.

This role requires software engineering expertise, system integration experience, excellent communication skills, and the ability to bring innovative solutions to researchers' projects and implement them as deliverables. This role enables reliable, secure, and efficient use of PACE resources for AI/ML workloads by delivering shared platforms, reference workflows, and automation that improve researcher productivity, reproducibility, and operational stability at scale.

AI-centric Platform Engineering: Build and operate shared AI-centric platforms (e.g., JupyterHub, MLflow) and associated services to enable secure, multi-tenant AI environments for researchers. Integrate identity management, resource quotas, and policy controls; support experiment tracking and reproducibility.

Reliability & Performance: Monitor and improve performance, scalability, and stability of AI services in production. Establish service-level objectives (SLOs) where appropriate; tune systems for GPU utilization, throughput, and latency; and help diagnose workload bottlenecks across compute, storage, and networking.

MLOps & Deployment Enablement: Enable repeatable workflows for training, evaluation, artifact management, and (when applicable) model serving. Define reference patterns for packaging (containers), configuration, and environment management to support reproducible research and reliable rollout of services.

Maintain the user-facing scientific and engineering software stack, including AI, data analytics, and modelling/simulation applications: Develop and optimize the central software stack on the target architecture using containers and/or the automatic software building tool e.g. Spack, EasyBuild.

Documentation & Operational Readiness: Produce clear technical documentation, runbooks, and architecture notes. Communicate progress, risks, and tradeoffs to both technical and non-technical stakeholders; contribute to operational processes.

Stay abreast of Technical Trends: Acquire knowledge through independent study, consultation of textbooks and research papers, and engagement with online training resources relevant to required problem domains.

Work in partnership with other GT Colleges IT groups to support the deployment of scientific/AI applications and workflows for researchers on PACE systems

Closely work with other internal PACE units, including the Platform and Architecture (Platform), Cyberinfrastructure(CI), and Research Computing Facilitation (RCF) Teams, to address researchers needs

Author and publish scientific papers, reports, and presentations to communicate research results and findings to internal and external audiences

Any other task assigned by the supervisor

This position vacancy is an open rank announcement. Final job offer will be dependent on candidate qualifications in alignment with Research Faculty ranks as outlined in section 3.2.1 of the Georgia Tech Faculty Handbook (https://www.policylibrary.gatech.edu/faculty-handbook/3.2.1-research-faculty-hiring-and-promotion-guidelines)

Research Scientist I

Bachelors Degree in Computer Science, or related area

Research Scientist II

A Master's degree and three (3) years of relevant full-time experience after completion of that degree, or

A Master's degree and five (5) years of relevant full-time experience after completion of a Bachelor's degree, or

A Doctoral degree in Computer Science, or related area

The preferred candidate will have:

Master in computational science or related fields.

Excellent written and oral communication skills, with the ability to communicate complex engineering concepts to both technical and non-technical audiences

Proven ability to work independently and as part of a team, with a strong sense of initiative and drive for results

Proficiency in Python and shell scripting (e.g., Bash) for automation and tooling.

Experience with (Nvidia and/or AMD) GPUs and distributed concepts (CUDA stack basics, multi-GPU/multi-node computation) and debugging common performance/failure patterns.

Experience with profiling and troubleshooting tools (e.g., performance analyzers, debuggers) and basic observability concepts (metrics, logs, traces).

Experience with Linux-based compute environments. Familiarity with HPC concepts (schedulers, shared filesystems) and/or distributed AI training is a plus.

Familiarity with complex AI software tool chain building on Linux environment.

Additionally, they will have demonstrated experience in (one or more of the following areas:

Experience with containerization technologies (e.g., Docker, Apptainer, Podman)

Experience with data management, databases (SQL/NoSQL), and distributed systems; comfort designing and operating internal services and APIs.

Experience with AI/ML frameworks such as PyTorch, Ultralytics, and LangChain/LangGraph.

Experience with common AI/ML workflows such as training, fine-tuning, image detection/segmentation, retrieval-augmented generation, and/or agentic workflows.

Experience with inference backend e.g. vLLM, Ollama and Triton

Experience contributing to or supporting open-source software, including PR and code review.

Experience working in developing software for research applications

Experience in software development lifecycle.

Experience in writing and publishing research papers at conferences and journals.

Improving team processes through documentation, automation, and knowledge sharing.

Proposed Salary: $53,204 - $110,000. Commensurate with education and experience.

Applicants should submit the following:

A letter of application

Curriculum vitae

Names and contact information for at least three references.

Application materials should be submitted as PDF.

Requests for information may be directed to Fang (Cherry) Liu at fang.liu@gatech.edu

Applications will be considered beginning Oct 15, 2026, but the search will continue until the positions are filled.

The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653.

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia ("USG") and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual's race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract.

This is a State Funded Appointment.

A successful candidate must be able to pass a background check. Please visit: https://usg.policystat.com/policy/19298143/latest