Job description

HPC and AI Performance Engineer This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Responsibilities: 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. Education and Experience Required: 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. Knowledge and Skills: 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. Accessibility HPE is committed to creating an inclusive and accessible workplace and encourages applications from all qualified individuals, including those with disabilities. If you believe you require accommodation during any stage of the application or interview process, please submit your request by completing our secure form linked here . Note: This option is reserved for applicants needing assistance/reasonable accommodation related to a disability. What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let s Stay Connected: Follow HPECareers on Instagram to see the latest on people, culture and tech at HPE. #unitedstates Job: Engineering Job Level: TCP_04 The expected salary/wage range for this position is provided below. Actual offer may vary from this range based upon geographic location, work experience, education/training, and/or skill level. – United States of America: Annual Salary USD 105,500 - 243,000 in Minnesota & Texas The listed salary range reflects base salary. Variable incentives may also be offered. Information about employee benefits offered in the US can be found at myhperewards.com HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. Recruitment Fraud Alert We have become aware of an increase in fraudulent recruitment activities in which individuals impersonate our company or authorized recruitment agencies to offer fake employment opportunities. These scams may occur through false websites, emails, social media, or chat-based applications and often aim to obtain personal information or money. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge a candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. We also never request personal information such as back account details, Social Security numbers, or national IDs via social media or chat applications. All legitimate job opportunities will come through official company channels, and candidates are responsible for verifying the credentials of any third party claiming to represent the company. Any reliance on fraudulent communication is at the individual’s own risk, and HPE disclaims legal liability for any resulting damages. If you suspect recruitment fraud, do not share personal information or make any payments and report the incident to your local authorities immediately.

Requirements

Must-haves

HPC and AI Performance Engineer
This role has been designed as 'Hybrid' with a requirement that you will work on average 2 days per week from an HPE office.
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.
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.
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

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonaccessibility

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision

Professional Development