Hybrid HPC & AI Performance Engineer – Benchmark & Optimize

Hewlett Packard Enterprise; Houston (TX); Hybrid; USD 109,000 - 251,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a driven HPC/AI engineer to lead benchmarking across CPU, GPU, memory, and storage stacks in a hybrid role with average 2 days per week in an HPE office in Houston, TX. The position supports government accounts under ITAR/EAR constraints and requires U.S.

citizenship or eligible status. The role demands expertise in MPI, OpenMP, CUDA/HIP, and performance profiling on Linux, with strong communication skills to present findings to engineering teams and

Qualifications

• 6+ years of Experience with HPC and AI workloads and benchmarking.
• Knowledge of HPC and AI system architecture including CPUs/GPUs/memory/networking.
• Understanding of parallel and distributed programming techniques (MPI, OpenMP, OpenSHMEM).
• Ability to lead complex HPC and AI performance projects and translate findings to customers.
• Experience with NVIDIA GPUs and AMD Instinct accelerators and offload models.

Responsibilities

• Lead HPC and AI benchmarking projects across CPU, GPU, network, memory, and storage platforms.
• Evaluate HPC/AI architectures using performance models and benchmark data.
• Run and analyze scientific/LLM/AI training workloads and I/O workloads.
• Identify performance bottlenecks and optimize software stacks.
• Apply parallel computing and GPU acceleration to deliver credible results.

Skills

HPC & AI leadership

Benchmarking & profiling

Cross-functional collaboration

English communication

Analytical thinking

Education

Masters in CS/Engineering/Math/Physics

PhD preferred

Tools

C/C++/Fortran

Python

MPI/OpenMP/OpenSHMEM

CUDA/HIP/OpenMP offload

Linux

Job description

Hewlett Packard Enterprise is seeking a driven HPC/AI engineer to lead benchmarking across CPU, GPU, memory, and storage stacks in a hybrid role with average 2 days per week in an HPE office in Houston, TX. The position supports government accounts under ITAR/EAR constraints and requires U.S.

citizenship or eligible status. The role demands expertise in MPI, OpenMP, CUDA/HIP, and performance profiling on Linux, with strong communication skills to present findings to engineering teams and