HPC and AI Performance Engineer
Core
Conduct scientific application performance benchmarking and optimization on HPE supercomputing platforms to support sales, development, and marketing initiatives.
Role type
HPC benchmarking performance engineer
Builds
Performance insights and competitive proposals for HPE supercomputers
Domain
High-Performance Computing (HPC) and AI
Deliverable
production ML models | product features | dashboards & analysis
Required skills
HPC system architecture, performance analysis tools, Linux system-level workflows, MPI-based parallel programming, C/C++/Fortran, GPU programming (CUDA/OpenACC), parallel file systems, performance profiling and debugging
Preferred skills
Master's or PhD in technical field, experience with scientific ISV applications, accelerator technologies
Technologies
MPI, CUDA, OpenACC, Lustre, GPFS, Python, shell scripting
Responsibilities
Conduct scientific application benchmarking under tight deadlines, optimize HPC benchmarks for performance results, analyze results to identify bottlenecks across compute/memory/accelerator/interconnect/MPI/I/O, provide technical guidance to Sales/Marketing/Development teams
Seniority
Mid-Senior, hands-on IC
