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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # HPC and AI Performance Engineer - **Company:** Hewlett-Packard Enterprise - **Location:** Bloomington, MN, United States - **Experience:** Expert - **Salary:** $105,500.0 - $243,000.0 - **Contract:** Permanent contract - **Skills:** C (Programming Language), Application Performance Management, C++ (Programming Language), Command-Line Interface, Compilers, Profiling, Nvidia CUDA, System Configuration, Software Debugging, Linux, Microprocessors, File Systems, Fortran (Programming Language), General Parallel File Systems, Python (Programming Language), OpenMP, Open Source Technology, Performance Tuning, Shell Script, Scripting, Graphics Processing Unit (GPU), Parallel Computation, Gpu Programming, Storage Technologies, Information Technology, Programming Languages - **Published:** September 12, 2026 - **Apply:** https://hpe.wd5.myworkdayjobs.com/Jobsathpe/job/Bloomington-Minnesota-United-States-of-America/HPC-and-AI-Performance-Engineer_1212980-3 ## About the Role * Bachelor's degree in a technical field such as Computer Science, Mathematics, Engineering, Physics, Chemistry, Environmental Science, or a related discipline; Master's or PhD preferred. * Typically 6-10 years experience., * Academic or industry experience in HPC, with a strong understanding of scientific and engineering application benchmarks used in the HPC market. * Demonstrated ability to evaluate, tune, and optimize computational application benchmark performance on Linux-based HPC systems. * Ability to collaborate effectively with cross-functional teams to achieve defined technical, customer, and business objectives. * Ability to communicate complex technical concepts, benchmark results, and performance recommendations clearly to internal and external audiences. * Strong analytical, troubleshooting, and problem-solving skills, with the ability to diagnose and resolve complex performance issues. * Experience with several of the following programming models, tools, and environments, with the ability to quickly learn additional technologies as needed: * MPI-based parallel programming and runtime environments * Compilers and programming languages such as C, C++, and Fortran * OpenMP and other shared-memory parallel programming approaches * Python, shell scripting, and other automation or scripting languages * Linux operating environments, command-line tools, and system-level workflows * Performance profiling, tracing, analysis, and debugging tools * Experience with, or the ability to quickly develop proficiency in, the following HPC technologies and concepts: * Processor technologies, including CPUs, GPUs, and accelerators, from both user and programmer perspectives * Accelerator programming technologies such as CUDA, OpenACC, and related GPU programming models * Understanding of different MPI implementations and best practices for achieving optimal application performance with each * Parallel file systems such as Lustre, GPFS, or other HPC storage technologies * Running and scaling applications and benchmarks on large-scale HPC systems * Analyzing, interpreting, and assessing benchmark and application performance across different HPC architectures and system configurations * Excellent written and verbal communication skills, with the ability to document technical findings and present results clearly. * Willingness and ability to work with leading-edge technologies, proactively identify and resolve issues, manage multiple priorities, and deliver results under demanding deadlines in a fast-paced environment. ## Description This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office., * Conduct scientific application performance benchmarking in a timely manner, often under tight deadlines, to support HPE sales engagements and internal product decision-making. This includes benchmarking scientific Independent Software Vendor (ISV) applications as well as open-source applications widely used across the HPC community. * Optimize HPC benchmarks on HPE systems to generate performance results and insights that help HPE submit competitive proposals for customer opportunities. * Develop and apply a strong understanding of HPC architectural components, system features, and performance estimation methodologies to assess benchmark performance on current and future HPE systems. * Analyze benchmark results to identify performance bottlenecks across compute, memory, accelerator, interconnect, MPI, and I/O subsystems, and recommend optimization approaches for improved application performance on HPE HPC platforms. * Stay current on HPE and competitor HPC products, along with relevant performance optimization techniques, to support delivery of high-quality benchmark results for sales opportunities. * Collaborate closely with colleagues across HPE and with external technical peers to achieve optimal benchmark performance on HPE platforms. * Provide benchmarking consultation and technical guidance to Sales, Marketing, and Development teams to support business growth and customer success. ## Related Videos - [JavaScript? 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