HPC & AI Performance Engineer

Hewlett Packard Enterprise

. Lead HPC and AI benchmarking projects across CPU, GPU, network, memory, and storage platforms .

Posted 10/2/2026full-timeUnited StatesMid-LevelSenior💰 $105,500 - $243,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in HPC and AI benchmarking, including performance analysis and optimization of applications across various platforms. Proficient in leading complex projects and translating technical findings into actionable insights for stakeholders.

Highest-signal resume keywords

HPC And AI WorkloadsPerformance Profiling ToolsParallel And Distributed Programming TechniquesC, C++, Fortran, PythonNVIDIA GPUs And AMD Instinct MI-Series Accelerators

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

HPC And AI System ArchitecturePerformance AnalysisBenchmarkingCUDAMPIOpenMPLinux ScriptingAI Frameworks And LibrariesMemory And I/O OptimizationProfiling And Debugging Tools

Soft Skills

Analytical SkillsProblem-Solving SkillsWritten Communication SkillsVerbal Communication Skills

Industry Keywords

Large Language ModelsAI Training And InferenceScientific ApplicationsEngineering ApplicationsStorage Benchmarks

Tech Stack

Tools & technologies

LinuxPythonC++

About the role

Key responsibilities & impact

Lead HPC and AI benchmarking projects across CPU, GPU, network, memory, and storage platforms
Evaluate HPE and competitive HPC and AI architectures using performance models and benchmark data
Run and analyze scientific, engineering, LLM, AI training and inference, storage, and I/O workloads
Identify performance bottlenecks and optimize applications, AI frameworks, libraries, compilers, runtimes, and system software
Apply parallel computing, GPU acceleration, profiling, and memory and I/O optimization
Deliver credible, repeatable performance results that strengthen HPE’s HPC and AI solutions
Present technical findings to engineering teams, customers, and business stakeholders

Requirements

What you’ll need

6+ years of experience with HPC and AI workloads, including scientific and engineering applications, MLPerf, large language models, AI training and inference, storage benchmarks, and performance-profiling tools
Knowledge of HPC and AI system architecture, including CPUs, GPUs, accelerators, memory, networking, storage, and software stacks
Understanding of parallel and distributed programming techniques, including MPI, OpenMP, OpenSHMEM, and algorithms
Ability to lead complex HPC and AI performance projects and translate findings into customer-focused recommendations
Demonstrated ability to analyze and optimize computational applications and benchmarks on Linux-based systems
Experience with C, C++, Fortran, Python, Linux scripting, compilers, MPI, MPI-IO, OpenMP, and AI frameworks and libraries
Experience with NVIDIA GPUs and AMD Instinct MI-series accelerators
Experience with CUDA, HIP, OpenMP target offload, OpenACC, or comparable programming models
Experience using performance-profiling, tracing, and debugging tools on Linux-based systems
Ability to interpret benchmark results, identify performance bottlenecks, and recommend improvements
Excellent analytical and problem-solving skills
Excellent written and verbal communication skills
Professional proficiency in English required
Master’s degree in computer science, engineering, mathematics, physics, chemistry, environmental science, or a related technical field

Benefits

Comp & perks

Comprehensive benefits supporting physical, financial, and emotional wellbeing
Personal and professional development programs
Flexible work arrangements to manage work and personal needs
Inclusive workplace culture
Hybrid work arrangement