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New York University

Global university research and education collaboration

Senior Computational Specialist

System AdministrationConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$130k - $150k /yrIn-person

About the Job

Requirements

  • A master's degree or equivalent in Computer Science, Physics, Engineering, or a related field, with a strong scientific computing emphasis is required.
  • At least 5 years of experience working with high-performance computing programming, job scheduling, compilers, and performance libraries is required.
  • Experience programming high-level languages such as C++, Fortran, Python, Java, and MATLAB is required.
  • Experience with high-performance computing infrastructure workflows, resource managers, usage and systems health monitoring, and data transfer and sharing tools is required.
  • Working experience with big data and knowledge of big data infrastructure are required.
  • Excellent interpersonal communication, presentation, and written and verbal communication skills, including documentation and customer support, are required.
  • Excellent programming and mathematics skills are required.
  • Proven expertise with the Linux operating system and Bash scripting is required.
  • Knowledge of CPU and GPU offerings and high-performance computing and artificial intelligence offerings in public cloud providers such as Google Cloud Platform is required.
  • Experience designing, building, and deploying containers such as Docker and Singularity in a high-performance computing environment is required.
  • Ability to present technical concepts clearly to customers through demonstrations, proposals, and presentations is required.
  • Experience providing computational support for academic research is required.
  • Experience programming API access is required.

Responsibilities

  • Provide high-level support to scholars using NYU research computing infrastructure and services for their research.
  • Consult directly with researchers to solve computational problems, design algorithms, develop and build applications, and advise on configurations, practices, and policies that may improve application performance.
  • Develop training materials, conduct training sessions, and provide online documentation to help NYU scholars and collaborators use high-performance computing technologies and artificial intelligence tools in research and teaching.
  • Help define and build new research services for NYU's next-generation infrastructure to enhance and improve services, build partnerships, and add capacity and capabilities.
  • Work with NYU IT teams as needed to test, benchmark, support, troubleshoot, and maintain high-performance computing resources and software.

Desired Qualifications

  • A doctoral degree in Computer Science or equivalent experience is preferred.
  • At least 7 years of work experience and a record of success programming, architecting, deploying, and using high-performance computing applications are preferred.
  • Experience working in an academic research environment is preferred.
  • A quantitative background in probability and statistics is preferred.
  • Experience with GPU programming in a high-performance computing environment is preferred.
  • Experience managing structured and unstructured data is preferred.
  • Ability and interest in writing blog or white paper content on relevant technical subjects are preferred.
  • Experience with parallel programming models such as OpenMP, MPI, and CUDA is preferred.
  • Experience parallelizing serial computational applications and performing data analytics is preferred.

About the Company

New York University

Global university research and education collaboration

New York University (NYU) and KAIST (Korea Advanced Institute of Science and Technology) formed a cross-continental partnership in 2022 to boost research, education, and industry collaboration. The collaboration combines NYU’s and KAIST’s strengths to create joint programs and a shared presence in New York City. It brings together more than 200 faculty from both institutions to pursue joint research and education initiatives, including dual-degree programs at undergraduate and graduate levels and study-away and exchange opportunities. Unlike typical single-country collaborations, this partnership connects U.S. and Korean academic ecosystems to tackle global challenges, expand cross-border innovation, and attract industrial investments. The goal is to build a durable ecosystem that accelerates discovery, entrepreneurship, and the translation of research into real-world impact through academic programs, collaborations, and a broader joint presence in New York.

Company size
1-10
Company stage
Not listed
Total funding
Not listed
Headquarters
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Founded
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