BACKGROUND

RESPONSIBILITIES

• Provide general and in-depth support/guidance in multiple areas of specialization, which include the following: accelerator programming, algorithm and library analysis, evaluation, selection, and implementation; architectures; system hardware and software; system and application performance simulation and modeling; and application performance evaluation.
• Work collaboratively with research groups to assist in enhancing performance of their codes, with a special focus on advanced cluster architectures, cloud resources and large shared memory systems, allocated through projects and programs such as NCSA strategic efforts, sponsored research projects, campus research IT projects, and industrial projects.
• Enable users to adopt new paradigms and algorithms, such as the use of artificial intelligence, machine learning and deep learning with their scientific applications, use of accelerators such as general purpose graphical processing units (GPUs).
• Use available software tools to analyze performance of workflows and codes, as well as assist in identifying and installing appropriate software libraries, and collaborating with users to use them effectively.
• Apply, when available, domain knowledge to improve academic research applications to help researchers define and solve leading edge problems, provide consulting expertise to researchers across a variety of science and engineering domains to leverage synergies across projects, and contribute to community codes to support a broad range of communities.

• Interact with staff and users in a wide range of educational, scientific, and engineering disciplines using all manner of communication modes: in person, email, ticket system, chat/IM, and phone.
• Meeting regularly with researchers to learn about and understand current and future research computation activities and needs.
• Providing researchers with information on recommended use of computation services and resources available to them at the local, campus, regional, and national levels.
• Contribute to user training as appropriate (i.e., author and maintain documentation and training materials, provide classroom- and/or web-based training, present seminars/tutorials at workshops, etc.).
• Represent the group at meetings and give presentations at conferences or other venues.
• Contribute to publications, technical reports, and documentation.
• Serve on relevant conference publication review committees.
• Communicate findings from research development activities above with project colleagues, including primary investigators, to be used as needed in advanced user support collaborations.

• Contribute to benchmarking efforts, as required.
• Participate in requirements gathering from key proposal stakeholders.
• Contribute to proposal document writing.

REQUIREMENTS

• BA/BS degree (advanced degree preferred) in engineering, mathematics, science, computer science, or related field. Alternative degree fields will be considered if accompanied by equivalent experience.
• At least one year of experience in programming, development, optimization, porting, and/or scaling libraries or application codes.
• 6 months of experience researching, presenting, and/or publishing technical projects or papers in a professional or academic setting.

PREFERENCES

• Advanced degree in engineering, mathematics, science, computer science, or related field.

• At least one year of programming experience on high performance computers including development, optimization, porting, and/or scaling one or more parallel libraries or application codes written in Fortran, C, and/or C++, Python, and utilizing programming models such as MPI and OpenMP.
• At least one year of experience developing codes to take advantage of specialized hardware (GPUs, SSE, etc.) using programming models such as OpenACC, OpenCL and CUDA.
• At least one year of experience with data analytics paradigms including hadoop, spark, R, etc.
• At least one year of experience with machine learning and deep learning methods, such as tensorflow and pytorch.
• At least one year facilitating research computing in a research environment.

TERMS

LOCATION

COMPENSATION

HOW TO APPLY

DEADLINE

POLICY