HPC Performance Architect - Multi-GPU Clusters

NVIDIA; Indiana (PA); On-site; USD 221,250 - 383,500; Full time

Benefits offered by this job

Diversity and inclusion

Extensive benefits package

Job summary

NVIDIA is seeking a Performance Engineer in Indiana, United States, to enhance communication libraries crucial for HPC. This role involves performance characterization on multi-GPU clusters and evaluating proof-of-concepts while collaborating with dynamic teams. The ideal candidate has an M.S. or PhD in Computer Science, 3+ years in parallel programming, and a strong understanding of computer systems. NVIDIA is committed to diversity, offering competitive salaries and a supportive work environment.

Qualifications

• 3+ years of experience with parallel programming and at least one communication runtime.
• Experience conducting benchmarking on large scale HPC clusters.
• Good understanding of computer system architecture and HW-SW interactions.

Responsibilities

• Conduct performance characterization on multi-GPU and multi-node clusters.
• Study interaction of libraries with hardware and software components.
• Evaluate proof-of-concepts and conduct trade-off analysis.

Skills

Parallel programming

Performance benchmarking

Debugging across HW/SW stack

Proficient in Python

Familiar with Kubernetes

Education

M.S. or PhD in Computer Science or related field

Tools

MPI

NCCL

Docker

SLURM

Job description

NVIDIA is seeking a Performance Engineer in Indiana, United States, to enhance communication libraries crucial for HPC. This role involves performance characterization on multi-GPU clusters and evaluating proof-of-concepts while collaborating with dynamic teams. The ideal candidate has an M.S. or PhD in Computer Science, 3+ years in parallel programming, and a strong understanding of computer systems. NVIDIA is committed to diversity, offering competitive salaries and a supportive work environment.