HPC & AI Performance Engineer

Hewlett Packard Enterprise Development LP; Houston (TX); Hybrid; USD 109,000 - 251,000; Full time

Job summary

Hewlett Packard Enterprise is seeking a HPC & AI Performance Engineer to drive benchmarking across CPU/GPU platforms and optimize AI workloads on Linux-based HPC systems.

The role is hybrid, requiring ~2 days per week in a Houston, TX or Bloomington, MN office, with U.S. government accounts involvement and ITAR/EAR considerations.

Qualifications

• 6+ years of experience with HPC and AI workloads including MLPerf and AI training/inference.

Responsibilities

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

Skills

HPC workloads

AI workloads

Performance benchmarking

C/C++/Fortran

MPI/OpenMP/OpenSHMEM

Python

Linux scripting

English communication

Education

Master’s degree in a related technical field

PhD preferred

Tools

CUDA

HIP

OpenMP target offload

OpenACC

MPI

MPI-IO

Linux tooling

Job description

HPC & 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:

HPE operates at the forefront of a fast-moving HPC and AI industry. We are looking for driven engineers who thrive on complex technical challenges and consistently deliver high-quality results that strengthen the performance, competitiveness, and success of HPE’s HPC & AI solutions for customers worldwide.

This role has been designed as 'Hybrid' the selected candidate will work on average 2 days per week from a HPE office in Houston, TX or Bloomington, MN.

This position will support government accounts. Therefore, due to federal export-control regulations, the selected candidate must hold U.S. citizenship, U.S. lawful permanent resident/Green Card status or otherwise have a category of refugee/asylee status enabling them to perform the role without requiring a license under the International Traffic in Arms Regulations (ITAR) or Export Administration Regulations (EAR).

Required Responsibilities:

• 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, large language model (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 to deliver credible, repeatable results.

Required Qualifications:

• 6+ years of Experience with HPC and AI workloads, including scientific and engineering applications, MLPerf, large language models such as DeepSeek, Kimi K2.6 or K3, and gpt-oss-120b, AI training and inference, storage benchmarks, and performance-profiling tools. Relevant coursework and internship experience will be considered.
• Knowledge of HPC and AI system architecture, including CPUs, GPUs and other accelerators, memory, networking, storage, and software stacks, with the ability to explain their impact on application and benchmark performance.
• Understanding of parallel and distributed programming techniques, including MPI, OpenMP, OpenSHMEM, algorithms, and performance considerations for HPC and AI workloads.
• Ability to lead complex HPC and AI performance projects, work effectively across technical teams, and translate findings into customer-focused recommendations.
• Demonstrated ability to analyze and optimize computational applications and benchmarks on Linux-based HPC and AI systems.
• Experience with HPC and AI software environments, including C, C++, Fortran, Python, Linux scripting, compilers, MPI, MPI-IO, OpenMP, and relevant AI frameworks and libraries.
• Experience with NVIDIA GPUs and AMD Instinct MI-series accelerators, including offloading computational routines using CUDA, HIP, OpenMP target offload, OpenACC, or comparable programming models for HPC and AI workloads.
• Experience using performance-profiling, tracing, and debugging tools on Linux-based HPC and AI systems.
• Ability to interpret benchmark results, identify performance bottlenecks, and recommend improvements for HPC and AI applications and systems.
• Excellent analytical and problem-solving skills.
• Excellent written and verbal communication skills, with the ability to present complex technical findings clearly to engineering teams, customers, and business stakeholders; professional proficiency in English required.
• Master’s degree in computer science, engineering, mathematics, physics, chemistry, environmental science, or a related technical field; PhD preferred.

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.

Job:

Engineering

Job Level:

TCP_04

Salary:

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.

Annual Salary USD 109,000 - 251,000 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 https://myhperewards.com/main/new-hire-enrollment.html

Equal Employment Opportunity Statements

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.