High Performance Computing Specialist

2 weeks ago

Atlanta, Georgia, United States Emory University Full time

Unlock Your Potential at Emory University

Emory University is a leading research institution that fosters innovation and excellence. We are seeking a talented individual to join our team as a High Performance Computing Engineer III.

About the Role

This position will be part of the Emory Office of Information Technology (OIT) Research Solutions group, working on a hybrid HPC support team. The successful candidate will work with technical teams and Emory faculty to engineer well-designed cloud solutions that advance knowledge discovery, tackle challenging scientific problems, and accelerate business processes.

Key Responsibilities

  • Collaborate with technical teams and Emory faculty to design and implement cloud solutions.
  • Meet with customers to understand business and scientific requirements, translate requirements into application designs, and develop technical delivery strategies.
  • Prototype cloud solutions and work with implementation teams to implement solutions that comply with University regulations and utilize Emory technology solutions effectively.
  • Provide training, implementation help, and technical troubleshooting services to customers.
  • Contribute to the documentation of use cases and the development of reusable patterns and guidelines.
  • Participate in interdisciplinary working groups and work closely with Enterprise and solutions architecture teams to implement reusable frameworks.
  • Contribute to quality outcomes through best practices in software implementation, such as peer reviews, coding, design sessions, streamlined release processes, thorough testing, and validation.

Requirements

  • A bachelor's degree in computer science, math, engineering, or a related field, and five years of related experience, including experience in customer-facing technical roles, architecting and implementing solutions in cloud infrastructure, professional software development, and experience as part of multi-disciplinary teams to design and implement enterprise applications and integrations.

Preferred Qualifications

  • Knowledge of various AWS products and their applications.
  • Strong knowledge of Slurm cluster management software.
  • Experience with specialized computing, such as GPU, parallelization, and DevOps aspects, such as containers and automation.
  • Experience working within an academic, research, or scientific institution.
  • Experience working with standard practices in project management (PMI), service management (ITIL), and systems development lifecycle.
  • Strong and precise communications skills and the ability to create and foster positive and creative relationships with faculty, staff, and students.
  • Familiarity with scientific data, bioinformatics packages, big data analysis methods, or machine learning algorithms.

Emory University is an Equal Opportunity Employer

Emory University is committed to providing equal opportunities and equal access to all individuals regardless of race, color, religion, ethnic or national origin, gender, genetic information, age, disability, sexual orientation, gender identity, gender expression, and veteran's status. Emory University does not discriminate in admissions, educational programs, or employment on the basis of any factor stated above or prohibited under applicable law.

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