HPC and AI Performance Engineer
Hewlett Packard Enterprise (HPE) (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 20–32 LPA
Posted on 10 Sept
Reach people at Hewlett Packard Enterprise (HPE)
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Hewlett Packard Enterprise (HPE) you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Conduct scientific application benchmarking and performance optimization on HPE HPC supercomputing platforms to support sales and product decisions.
- Analyze and identify performance bottlenecks across HPC system components and recommend optimizations for improved benchmark and application performance.
- Collaborate with internal teams and external technical peers to ensure optimal benchmark results and provide technical guidance to support business growth.
Minimum Requirements
- Bachelor’s degree in Computer Science, Mathematics, Engineering, Physics, Chemistry, Environmental Science, or related field; Master’s or PhD preferred.
- Typically 5+ years of experience in HPC and scientific application benchmarking and optimization.
- Strong proficiency with Linux-based HPC systems, HPC benchmarks, and performance analysis tools.
- Ability to work onsite on average 2 days per week from an HPE office (Hybrid work model).
Ideal Candidate Profile
- Experienced with HPC scientific applications and deep understanding of HPC hardware architecture and performance optimization techniques.
- Demonstrated ability to evaluate, tune, and optimize benchmarks using programming models such as MPI, OpenMP, and languages like C, C++, Fortran.
- Effective in cross-functional collaboration and communicating complex technical results to technical and non-technical audiences.