HPC and AI Performance Engineer
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)5+ yrsBengaluru, PuneOn-siteDirect career pageEst. 18–30 LPA
Posted on 10 Sept
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Job description
Structured overview of role & requirements
About This Role
- Conduct scientific application performance benchmarking on HPE supercomputing platforms to support sales and product decisions under tight deadlines.
- Optimize HPC benchmarks and analyze performance bottlenecks across compute, memory, accelerator, interconnect, MPI, and I/O subsystems to deliver competitive performance results.
- Collaborate cross-functionally and provide technical guidance to Sales, Marketing, and Development teams to support customer success and business growth.
Minimum Requirements
- Bachelor’s degree in Computer Science, Mathematics, Engineering, Physics, Chemistry, Environmental Science, or related; Master’s or PhD preferred.
- Typically 5+ years experience in HPC, including scientific application benchmarking and performance optimization on Linux-based HPC systems.
- Proficiency in Python, shell scripting, MPI, parallel programming (OpenMP), and performance profiling and debugging tools.
- Hybrid work model with an average 2 days per week onsite at HPE office.
Ideal Candidate Profile
- Strong domain expertise in HPC scientific and engineering application benchmarks with practical experience tuning performance on HPC supercomputers.
- Analytical and problem-solving capability with ability to independently identify performance bottlenecks and recommend optimizations across HPC system architectures.
- Experienced collaborator effective in cross-functional teams, communicating complex technical findings clearly to both technical and non-technical stakeholders.