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HPE is seeking an exceptional applications performance engineer to port and optimize scientific applications for HPE Cray systems operated by the Department of Energy (DOE). This position will provide authoritative and responsive support to developers preparing their applications for leading edge HPE Cray systems, including the exascale El Capitan and Frontier systems. This position requires strong performance analysis and optimization skills, a good understanding of complex scientific applications, and strong interpersonal skills. This is a technically demanding and intellectually stimulating position that will include diverse and frequently changing responsibilities. It is expected that off-hours work will occasionally be required.
Job Responsibility:
Porting and optimization of scientific applications for HPE Cray exascale platforms
Providing direct support to developers of complex scientific applications
Constantly learning about tools and technologies from HPE and our partners
Requirements:
US Citizenship Required
DOE Q Clearance Preferred
Ability to work on-site at client location on a daily basis
Flexible and able to work off hours which may include evenings, or weekends occasionally is required
Experience with complex scientific applications in a high-performance computing (HPC) environment
Excellent performance analysis and optimization skills
Proficiency with one or more of these languages, libraries, and tools used in HPC [C++, C, modern Fortran, HIP, CUDA, MPI, OpenMP
Familiarity with applications, tools, and processes used at DOE HPC laboratories
A broad and deep understanding of the issues that affect GPU performance, CPU performance, and scaling performance
Proficiency with performance analysis tools and debuggers
Proficiency with programming for GPUs
An understanding of HPC systems architectures and interconnects
The ability and motivation to quickly learn new skills
Keen analytical skills and problem-solving ability
Excellent verbal and written communication and interpersonal skills
A Bachelors degree in physics, chemistry, computer science, applied mathematics, engineering, or other technical field is required (MS or PhD preferred)
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