The position requires a Masters or equivalent experience in science or engineering discipline. Other requirements include:
-Ability to understand the computational requirements of scientists and engineers in the use of high performance visualization technologies.
-Experience in the deployment and technical troubleshooting of large scale visualization resources.
-Experience in technical user support and parallel code development (for example, C++, Linux, OpenGL).
-Experiences in graphics application profiling & optimization for large time series data sets using performance tools in High Performance Computing contexts.
-Experience or familiarity with new technologies such as graphics accelerators and next-generation languages.
-Experience in developing and providing trainings and workshops to staff, students, and faculty in an academic setting.
-Demonstrated experience in successfully developing and leading research projects in scientific visualization through collaboration with external groups in some science and engineering domain.
-Excellent interpersonal skills, communications skills, and organizational skills.
-Self-motivated with proven capability to work effectively in team environment.