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Senior Performance Engineer
Oak Ridge National Laboratory in Oak Ridge, Tennessee
 
 
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Date Posted 05/06/2021
Category
Admin-Other Administrative Positions
Employment Type
Application Deadline Open until filled
 
 
 
 
 

Requisition Id 5797 

Overview

 

The National Center for Computational Sciences (NCCS) provides state-of-the-art computational and data science infrastructure for technical and scientific professionals to accelerate scientific discovery and engineering advances across a broad range of disciplines. As an important part of the broader High-Performance Computing (HPC) infrastructure, the division also hosts the Oak Ridge Leadership Computing Facility (OLCF), a Department of Energy Office of Science User Facility.

 

We seek to hire a Senior Computer Scientist, Applied Mathematician, or Computational Scientist, specializing in performance analysis and optimization of HPC software to join our Algorithms and Performance Analysis Group within the Science Engagement section of NCCS.  In this role, you will serve as a liaison between NCCS and the users of the NCCS computing systems and relevant NCCS vendor partners, providing deep technical expertise in high performance computing that can be applied to a diverse range of scientific disciplines.

 

Members of the Algorithms and Performance Analysis Group within the Scientific Engagement Section partner with NCCS users across all computational domains to enable, promote and optimize the use of, and to maximize the benefits of using the world class facilities provided by NCCS. Members of the group liaise with and represent users and user applications within NCCS, carry out independent research, and provide technical input and service in support of NCCS and Oak Ridge National Laboratory through strategic decision making, system procurement and deployment, and infrastructure development.

 

Major Duties/Responsibilities

 

          • Collaborate with other computational and computer scientists to develop, integrate, port, tune, and debug applications to take advantage of the capabilities of the OLCF leadership-computing environment and other NCCS resources.

          • Assist users in moving data and programs into and out of the NCCS environment and help with scheduling applications at scale to meet the scientific needs of the users.

• Represent the needs of a broad range of application communities for NCCS planning and decision-making.

          • Forge collaborations with other researchers, both internally at ORNL and externally, on topics of mutual interest. This includes collaborating scientifically with awarded OLCF projects.

          • Participate in the development of proposals for computational or computer science research projects.

          • Conduct research and report results in journal articles, conference papers, and technical manuals.

          • Provide expertise and leadership in current OLCF procurement activities and assist in capability planning exercises for future OLCF procurements.

          • Advise and work with the NCCS Advanced Technologies, Systems, and Operations sections to understand the needs of computational scientists in a broad range of domains. Participate directly in formulating policies to maximize scientific productivity of the NCCS compute resources.

  • Mentor postdoctoral appointees, student interns, and/or junior staff.

          • Participate in community-wide efforts to define the requirements for system software, libraries, and tools to meet the needs of the application users.

 

 

Basic Requirements

 

  • A Ph.D. in computer science, applied mathematics, or other related computational science field (e.g. astrophysics, biophysics, chemistry, climate science, engineering, materials science, nuclear and particle physics, plasma physics, etc.) 6+ years of relevant experience outside of degree.
  • Demonstrated experience developing and/or tuning application codes and/or libraries for high performance computing resources.
  • Experience with numerical methods, parallel algorithms, MPI, and a common scientific computing programming language (i.e., Fortran, C++ and/or C).
  • Experience in developing software for heterogeneous, accelerated computer architectures (for example using GPUs) using approaches like CUDA/HIP, compiler directives like OpenMP or OpenACC, or abstractions such as Kokkos.
  • Parallel software development targeting large-scale computational resources.

 

 

Preferred Qualifications

 

 

  • 8+ years of relevant research experience beyond a Ph.D.
  • Experience using performance tools such as TAU, HPCToolkit, MAP, CrayPAT to analyze, characterize, and optimize multi-node parallel HPC software.
  • Experience using performance tools such as NVIDIA's Nsight and AMD's rocProf to analyze, characterize, and optimize software running on accelerators (e.g., GPUs).
  • Experience with computing at scale (for example, computing on a resource in the top 20 of the Top500 list) using MPI and/or one-sided asynchronous models.
  • Knowledge of the software stack on a leadership computing platform, including software development toolchain, runtime systems, and debugging/performance tools.
  • Experience in a domain aligned with US DOE Office of Science mission areas.
  • The ability to work in a dynamic, team environment.
  • Excellent interpersonal skills, oral and written communication skills, organizational skills, and strong personal motivation.

 

Benefits at ORNL

 

UT Battelle offers an exceptional benefits package to include matching 401K, Pension Plan, Paid Vacation and Medical / Dental plan. Onsite amenities include Credit Union, Medical Clinic, and free Fitness facilities.  

 

Relocation

 

UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for this position.For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.

 

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.


If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.


ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.


Nearest Major Market: Knoxville


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