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 evaluation of CPU, GPU, and storage architectures. Proficient in optimizing applications and frameworks while effectively communicating complex technical findings to diverse stakeholders.

Highest-signal resume keywords

HPC And AI Workloads ExperiencePerformance Profiling ToolsC, C++, Fortran, Python ProgrammingNVIDIA GPUs And AMD Instinct MI-SeriesParallel And Distributed Programming Techniques

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

HPC And AI BenchmarkingPerformance OptimizationParallel ComputingGPU AccelerationLinux-Based SystemsMPIOpenMPCUDAAI FrameworksPerformance Analysis

Soft Skills

Analytical SkillsProblem-Solving SkillsWritten CommunicationVerbal Communication

Tools & Technologies

Performance-Profiling ToolsDebugging ToolsTracing Tools

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 complex technical findings to engineering teams, customers, and business stakeholders

Requirements

What you’ll need

6+ years of experience with HPC and AI workloads
Experience with 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 MPI, OpenMP, OpenSHMEM, algorithms, and parallel and distributed programming techniques
Ability to lead complex HPC and AI performance projects and translate findings into customer-focused recommendations
Experience analyzing and optimizing computational applications and benchmarks on Linux-based systems
Experience with C, C++, Fortran, Python, Linux scripting, compilers, MPI, MPI-IO, OpenMP, 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
PhD preferred

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
Employee benefits information provided for US employees