Description
Hewlett Packard Enterprise is seeking a highly skilled HPC & AI Performance Engineer to join our team. As a Hybrid role, you will work on average 2 days per week from an HPE office in Houston, TX or Bloomington, MN.
As an HPC & AI Performance Engineer, you will lead HPC and AI benchmarking projects across CPU, GPU, network, memory, and storage platforms. You will evaluate HPE and competitive HPC and AI architectures using performance models and benchmark data. Your responsibilities will also include running and analyzing scientific, engineering, large language model (LLM), AI training and inference, storage, and I/O workloads.
To be successful in this role, you will need to have:
- 6+ years of experience with HPC and AI workloads, including scientific and engineering applications, MLPerf, large language models, and AI training and inference
- Knowledge of HPC and AI system architecture, including CPUs, GPUs, and other accelerators, memory, networking, storage, and software stacks
- 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
- Master's degree in computer science, engineering, mathematics, physics, chemistry, environmental science, or a related technical field; PhD preferred
We offer a range of benefits, including:
- Competitive salary
- Opportunities for career growth and development
- Collaborative and dynamic work environment
If you are a motivated and talented individual who is passionate about HPC and AI, we encourage you to apply for this exciting opportunity.