Overview In this role you will drive HPC and AI performance for HPE's solutions, leading benchmarking and optimization across CPU, GPU, memory, and I/O. You'll work with cross functional teams to analyze workloads, identify bottlenecks, and implement enhancements to meet customer performance expectations. This position combines hands-on profiling with architecture understanding to deliver credible, repeatable results. Join a company that values bold moves and inclusive, growth oriented culture. Compensation / BenefitsHealth & wellbeing benefitsPersonal & professional development programsFlexible/hybrid work arrangementInclusive culture ResponsibilitiesLead HPC and AI benchmarking projects across CPU, GPU, network, memory, and storage platformsEvaluate HPC/AI architectures using performance models and benchmarksRun and analyze scientific, engineering, LLM, AI training/inference, storage, and I/O workloadsIdentify bottlenecks and optimize applications, AI frameworks, libraries, compilers, runtimes, and system softwareApply parallel computing, GPU acceleration, profiling, and memory/I/O optimization to deliver credible results Key requirements6+ years of experience with HPC/AI workloads including MLPerf and large language models (e.g., DeepSeek, Kimi K2.6/K3, gpt-oss-120b)Knowledge of HPC/AI system architecture (CPU, GPUs, memory, network, storage) and their impact on performanceUnderstanding of MPI, OpenMP, OpenSHMEM and parallel/distributed programming for HPC/AI workloadsAbility to lead complex performance projects and communicate findings to engineers, customers, and stakeholdersExperience with Linux-based HPC/AI systems and performance profiling toolsProficiency in C/C++, Fortran, Python, Linux scripting; MPI, MPI-IO, OpenMP; familiarity with AI frameworks/librariesExperience with NVIDIA GPUs and AMD Instinct MI-series accelerators; CUDA, HIP, OpenMP target offload, OpenACC or equivalentAbility to interpret benchmark results and recommend improvementsExcellent analytical, problem-solving, and communication skillsMaster's degree in a technical field; PhD preferredstrong communicationcross-functional collaborationproblem-solvingCUDAHIPOpenMP
Not specified in the original listing.
Not specified in the original listing.
