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As the Senior Computational Scientist you are an integral part of our research-facing support team. This position will facilitate the use of large-scale research computing systems in research and provide the researchers with computational tools and expertise needed to address questions raised by cutting edge research. You will utilize creativity and innovation to solve computing problems raised by researchers. You will work collaboratively with other staff, ‎campus researchers, national partners and vendors to implement novel computing and data technologies.  Diagnose a wide range of computing problems; ‎design, code, test, debug, install, document and maintain complex programs. You will also conduct regular training workshops for researchers on computational tools, and participate in national computing activities by attending workshops, conferences, and potentially presenting research.

You will have the opportunity to:

• work with our latest HPC cluster will be a top 150 supercomputer
• work with GPU clusters for AI and DL workloads
• have direct impact on researchers and faculty progress
• for publication and travel to conferences and workshops

About Us:

Purdue University’s Rosen Center for Advanced Computing department is committed to promoting and advancing all forms of diversity, equity, inclusion and access (DEIA) to create an environment and culture where the uniqueness of individuals is celebrated and persons from all backgrounds can thrive.

Purdue’s Rosen Center for Advanced Computing department provides access to leading-edge computational and data storage systems as well as expertise in a broad range of high-performance computing activities. To fulfill our mission, we:

• provide advanced computational resources and services to support Purdue faculty and staff researchers as well as NSF ACCESS program
• evaluate, deploy, and support hardware and software for large-scale scientific computing
• promote the effective use of our research computing systems and application software through training and education, consultation, and documentation
• contribute to the discovery process through algorithm design and development of effective computing techniques
   

What We're Looking For:

Education and Experience:

• Master’s degree in computer science, engineering, computer engineering, math, physical sciences, or closely related field. PhD preferred.
• Two (2) years to three (3) years of experience in:
  • developing parallel computing applications, libraries or software tools
  • working with researchers to integrate computing techniques into research activities
  • using common HPC programming languages, tools, and techniques including Fortran and/or C/C++, MPI, OpenMP, CUDA
• An equivalent combination of education and/or experience will be accepted
• This position will require regular access to information controlled by the Export Administration Regulations (EAR) and the International Traffic in Arms Regulations (ITAR).  Applicants must meet the applicable eligibility requirements. This can include, but is not limited to, US Citizenship or Permanent Residency.

Skills Needed:

• Ability to work:
  • on a diverse team
  • Linux operating system
  • scripting languages, i.e. Unix Shell, Bash, Python, etc.
  • automation and deployment tools, i.e. ansible, spack, puppet, chef, etc.
  • version control software, i.e. GIT
• Ability to plan, organize and prioritize tasks, and complete projects with minimal supervision‎
   

Additional Information:

• Purdue University will not sponsor employment authorization for this position  
• A background check will be required for employment in this position
• FLSA: Exempt (Not Eligible for Overtime)
• Retirement Eligibility:  Defined Contribution Waiting Period
• Purdue University is an EEO/AA employer fully committed to achieving a diverse workforce. All individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply
• Benefit Statement: Purdue University offers a substantial Benefit Package including medical, dental, and vision insurance as well as a generous paid time off package for sick and vacation days