HPC & AI Performance Engineer

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.

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.

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.

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.

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.

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.

Information about employee benefits offered in the US can be found at https://myhperewards.com/main/new-hire-enrollment.html

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