HPC & AI Senior Performance Engineer

Job Description

HPE is seeking an experienced HPC performance engineer to help drive the performance of systems used to solve the world’s biggest problems. This role involves providing pre- and post-sales technical and benchmarking support, collaborating with product engineering, product management, and marketing, evaluating emerging technologies, developing and maintaining knowledge of HPE and competitor HPC/AI products, and leading application-focused performance studies.

Responsibilities

• Provide pre- and post-sales technical and benchmarking support to enable HPC or AI customer opportunities
• Collaborate with HPE product engineering, product management, and marketing to influence current and future product capabilities and direction
• Evaluate emerging technologies and assess their impact on product differentiation (performance and features) for key customer applications
• Develop and maintain current knowledge of HPE and competitor HPC/AI products and performance optimization techniques to ensure the team continues to deliver high-quality benchmark results
• Lead application-focused performance studies and projects, and author technical reports and papers that communicate findings and recommendations

Qualifications

• Master’s or PhD degree in computer science, engineering, mathematics, or equivalent
• 7+ years of demonstrated experience with high-end HPC systems and performance analysis/tuning of scalable HPC applications
• Excellent analytical and problem-solving skills
• Excellent written and verbal communication skills; mastery of English required
• U.S. citizenship required

Preferred Qualifications

• Experience with large-scale HPC systems and software
• Experience with large-scale AI systems and software
• Detailed understanding of multiprocessor and GPU hardware architectures, capabilities, and parallel programming techniques (e.g., OpenMP, MPI, CUDA, HIP)
• Proficiency with key industry-standard HPC benchmarks (e.g., HPL, HPCG, OSU MPI, NCCL/RCCL) on CPUs and GPUs
• Experience with performance projection methodologies to model performance of alternate system architectures using performance measurement tools and techniques