Postdoctoral Research Associate - HPC System Architecture and Intelligent Storage Design jobs in United States
cer-icon
Apply on Employer Site
company-logo

CHEManager International · 16 hours ago

Postdoctoral Research Associate - HPC System Architecture and Intelligent Storage Design

CHEManager International is seeking a postdoctoral research associate at the National Center for Computational Sciences (NCCS) within Oak Ridge National Laboratory (ORNL) to focus on High-Performance Computing (HPC) system architecture and intelligent storage design. The role involves contributing to research in scalable storage, telemetry-driven optimization, and performance analysis for HPC, scientific AI, and edge computing.

Responsibilities

Collaborate with internal and external researchers on a variety of data and storage-related research projects for use cases in HPC, scientific AI, and scientific edge computing
Conduct I/O and storage performance characterization of HPC and scientific AI applications or libraries on multi-tier HPC storage systems
Collect, analyze, and leverage telemetry data from HPC systems to support data-driven design decisions and performance tuning
Explore trade-offs in DDR and HBM usage patterns, and propose architectural improvements for mixed-memory and bandwidth-intensive workloads
Design and evaluation of ephemeral, user-configurable, and composable data and storage systems
Design system-level approaches for time-sensitive or data-intensive processing of data originating at scientific edge systems using large-scale HPC/AI computational and storage systems
Coauthor peer-reviewed publications, technical reports, and presentations
Seek membership and service opportunities in professional, academic, and research organizations

Qualification

High-Performance Computing (HPC)Intelligent Storage DesignTelemetry AnalysisMemory Hierarchies DDRMemory Hierarchies HBMHPC Software DevelopmentEffective CommunicationCollaboration SkillsMentoring

Required

A PhD in computer science/engineering or relevant area with an education and a research track record in HPC/AI/edge systems and storage research within past five years
This position requires the ability to obtain and maintain an HSPD-12 PIV badge
For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required
All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation
To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation
If you have not resided in the U.S. for three consecutive years, you are not eligible for the PIV credential and instead will need to obtain a favorable Local Site Specific Only (LSSO) risk determination to maintain employment
Once you meet the three-year residency requirement, you will be required to obtain a PIV credential to maintain employment

Preferred

Ability to work independently to design and deploy methods at scale
Familiarity with hardware-software co-design, memory hierarchies (DDR, HBM), and system-level telemetry tools
Experience in HPC and associated software development for applications, middleware, and/or system software
Flexibility to adapt to diverse R&D projects and tasks
Effective communicator in both verbal and written forms
Ability to collaborate with scientists, engineers, and sponsors
Interest in mentoring student internships

Benefits

Prescription Drug Plan
Dental Plan
Vision Plan
401(k) Retirement Plan
Contributory Pension Plan
Life Insurance
Disability Benefits
Generous Vacation and Holidays
Parental Leave
Legal Insurance with Identity Theft Protection
Employee Assistance Plan
Flexible Spending Accounts
Health Savings Accounts
Wellness Programs
Educational Assistance
Relocation Assistance
Employee Discounts

Company

CHEManager International

twitter
company-logo
Wiley’s leading media brand providing first-hand information on the global chemical, life science and process industries

Funding

Current Stage
Growth Stage
Company data provided by crunchbase