HPE
HPC & AI Performance Engineer
$109K–$251K
Houston, Texas, United States of America +1 · Full-time · Posted Oct 7, 2026
- Location
- Houston, Texas, United States of America
Bloomington, Minnesota, United States of America - Experience
- 6+ years; relevant coursework and internship experience will be considered.
- Education
- Master’s degree in computer science, engineering, mathematics, physics, chemistry, environmental science, or a related technical field; PhD preferred.
- Visa sponsorship
- Must be a U.S. citizen, U.S. lawful permanent resident/Green Card holder, or have refugee/asylee status enabling work without an ITAR or EAR license.
About the job
Leads performance benchmarking and optimization of HPC and AI systems, workloads, and applications, translating results into customer-focused recommendations.
What you'll do
- Lead benchmarking projects across CPU, GPU, network, memory, and storage platforms, and evaluate HPE and competing architectures.
- Run and analyze HPC and AI workloads; identify bottlenecks and optimize applications, frameworks, libraries, compilers, runtimes, and system software.
- Apply parallel computing, GPU acceleration, profiling, and memory and I/O optimization, and communicate findings to customers and technical teams.
What they ask for
- 6+ years of experience with HPC and AI workloads; relevant coursework and internship experience will be considered.
- Knowledge of HPC and AI system architecture and parallel/distributed programming techniques, including MPI, OpenMP, and OpenSHMEM.
- Experience analyzing and optimizing applications on Linux-based HPC and AI systems, with relevant software environments, profiling tools, and GPU accelerator programming models.
- Professional proficiency in English and a master’s degree in a listed technical field or a related technical field.
Nice to have
- PhD.
Pay
USD 109,000 - 251,000 per year (base salary)
Tools
CPU, GPU, MPI, OpenMP, OpenSHMEM, C, C++, Fortran
AI focus
Benchmark and optimize AI training and inference, large language models, AI frameworks and libraries, and HPC and AI system performance.
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