Scientific Software Engineer Contribute and lead the development of one or more of ORNL software products developed and maintained by the Scientific Data Group (ADIOS, VTK-M, pbdR, EFFIS, …). MS Degree in computer science, or a related field and 2+ years of experience in modern object-oriented programming languages including C++, Python, outside of degree. Experience working with scientific application teams, i.e. astrophysics, fusion, etc. Demonstrated software development experience in computational science, engineering, computer science, or applied math.

Computer/Data Scientist Make direct contributions working closely with project teams to create, evaluate, and publish novel research ideas. Mentor students and postdocs. Publish papers in high-quality refereed conferences and journals. Collaborate with industry, academia, government labs. Participate in proposal development for potential external and internal funding. Ph.D. in computer science, computational science or a discipline related to the job duties. Experience in parallel computing, storage systems and previous research experience in ONE or more of the following areas is also required: I/O, Workflows, Provenance, Data Science, Visualization, Using machine Learning to solve complex problems, Data Compression, Performance Modeling and/or Tuning of HPC codes, or Computer Systems.

Kate Carter, Talent Acquisition Partner kcc@ornl.gov, 865-574-1293