HPC and AI Performance Engineer

Jobtailor; Minnesota; On-site; USD 120,000 - 190,000; Full time

Job summary

Hewlett Packard Enterprise (HPE) is seeking a senior HPC benchmarking specialist in Minnesota to conduct scientific application performance benchmarks for sales engagements and internal product decisions. You will benchmark scientific ISV and open-source HPC applications on HPE systems to generate performance results and insights.

This role requires a deep understanding of HPC architectures, MPI/OpenMP and CUDA/OpenACC, and the ability to optimize benchmarks on Linux-based clusters.

Qualifications

• Bachelor’s degree in a technical field (e.g., CS, math, engineering, physics).
• Typically 6-10 years experience in HPC or related fields.
• Academic or industry HPC experience is essential.
• Strong understanding of scientific and engineering application benchmarks used in HPC markets.
• Ability to evaluate, tune, and optimize benchmark performance on Linux HPC systems.
• Experience with MPI-based parallel programming and runtime environments.
• Experience with C, C++, Fortran; OpenMP; CUDA/OpenACC is a plus.
• Proficiency in Python and shell scripting; Linux command-line tools.

Responsibilities

• Conduct scientific application performance benchmarking for sales engagements and internal product decision-making.
• Benchmark scientific ISV and open-source applications used across the HPC community.
• Optimize HPC benchmarks on HPE systems to generate performance results and insights.
• Apply understanding of HPC architecture, system features, and performance estimation methodologies.
• Analyze benchmark results to identify bottlenecks across compute, memory, accelerator, interconnect, MPI, and I/O subsystems.
• Recommend optimization approaches for improved application performance on HPE HPC platforms.
• Monitor HPE and competitor HPC products and relevant performance optimization techniques.
• Collaborate with HPE colleagues and external technical peers.
• Provide benchmarking consultation and technical guidance to Sales, Marketing, and Development teams.

Skills

HPC Benchmarking

MPI/C++/Fortran

Linux Systems

Performance Profiling

CUDA/OpenACC

Python/Scripting

Parallel File Systems

Education

Bachelor's degree in a technical field

Tools

Performance Tracing Tools

Debugging Tools

Command-Line Tools

System-Level Workflows

Job description

• Conduct scientific application performance benchmarking for sales engagements and internal product decision-making
• Benchmark scientific ISV and open-source applications used across the HPC community
• Optimize HPC benchmarks on HPE systems to generate performance results and insights
• Apply understanding of HPC architecture, system features, and performance estimation methodologies
• Analyze benchmark results to identify bottlenecks across compute, memory, accelerator, interconnect, MPI, and I/O subsystems
• Recommend optimization approaches for improved application performance on HPE HPC platforms
• Monitor HPE and competitor HPC products and relevant performance optimization techniques
• Collaborate with HPE colleagues and external technical peers
• Provide benchmarking consultation and technical guidance to Sales, Marketing, and Development teams

Requirements

• Bachelor’s degree in a technical field such as Computer Science, Mathematics, Engineering, Physics, Chemistry, Environmental Science, or a related discipline
• Typically 6-10 years experience
• Academic or industry experience in HPC
• Strong understanding of scientific and engineering application benchmarks used in the HPC market
• Ability to evaluate, tune, and optimize computational application benchmark performance on Linux-based HPC systems
• Experience with MPI-based parallel programming and runtime environments
• Experience with compilers and programming languages such as C, C++, and Fortran
• Experience with OpenMP and other shared-memory parallel programming approaches
• Experience with Python, shell scripting, and other automation or scripting languages
• Experience with Linux operating environments, command-line tools, and system-level workflows
• Experience with performance profiling, tracing, analysis, and debugging tools
• Knowledge of processor technologies, including CPUs, GPUs, and accelerators
• Knowledge of accelerator programming technologies such as CUDA and OpenACC
• Understanding of different MPI implementations and best practices for application performance
• Experience with parallel file systems such as Lustre and GPFS
• Experience running and scaling applications and benchmarks on large-scale HPC systems
• Ability to analyze and assess performance across HPC architectures and system configurations
• Excellent written and verbal communication skills
• Ability to work with leading-edge technologies, identify and resolve issues, manage multiple priorities, and deliver under demanding deadlines

Core Competencies

Demonstrates expertise in HPC application performance benchmarking, optimization, and analysis, with a strong foundation in scientific and engineering benchmarks. Proficient in evaluating and tuning computational application performance on Linux-based HPC systems, utilizing various programming languages and parallel programming techniques.

Highest-signal resume keywords

• HPC Application Benchmarking
• Performance Optimization Techniques
• MPI-Based Parallel Programming
• Linux Operating Environments
• Performance Profiling and Analysis

ATS Optimization Keywords

Hard Skills

• HPC Architecture Understanding
• C Programming
• C++ Programming
• Fortran Programming
• Python Scripting
• Shell Scripting
• OpenMP
• CUDA
• OpenACC
• Parallel File Systems

Soft Skills

• Excellent Communication Skills
• Problem-Solving
• Collaboration
• Time Management

Industry Keywords

• High-Performance Computing
• Scientific Applications
• Benchmarking
• Performance Estimation Methodologies
• Compute Bottlenecks

Tools & Technologies

• Performance Tracing Tools
• Debugging Tools
• Command-Line Tools
• System-Level Workflows