Senior GPU Performance Engineer, Scale & AI — Equity

NVIDIA; United States; On-site; USD 184,000 - 357,000; Full time

Benefits offered by this job

Equity and benefits

Job summary

NVIDIA is seeking a dedicated Senior Systems Software Engineer focused on GPU Performance at Scale. You will lead the implementation of performance practices in large-scale GPU infrastructure, aligning AI workloads with future datacenter builds and partnering with HW/FW/SW teams to innovate.

You will decompose complex performance issues, develop tools and workflows, and drive continuous insights into AI workloads while collaborating with researchers, developers, and customers to maximize scale

Qualifications

• Proven understanding of accelerated computing software stacks (CUDA).
• Experience with modern cloud and container-based enterprise computing architectures, with Slurm preferred.
• Strong programming and scripting experience in C/C++/Python/Bash.
• Deep expertise in systems architecture and the impact of various components on performance.
• Experience with container technology and Linux-based OSes, with Docker preferred.
• Experience supporting high-performance computing or deep learning in engineering or academic research communities.
• Strong teamwork and communication skills, coupled with results-focused analytical abilities.
• BS in Engineering, Mathematics, Physics, or Computer Science (or equivalent experience); MS or PhD desirable with 8+ years of applicable experience.

Responsibilities

• Lead the implementation of performance practices in large-scale GPU infrastructure, delivering powerful tools and flows.
• Align AI workloads with next-generation datacenter builds for NVIDIA GPUs, CPUs, and networking hardware.
• Develop engineering solutions that provide continuous insights into AI workload performance and improvements.
• Decompose high-complexity performance issues into minimal reproduction cases to identify root causes.
• Collaborate with SW and FW teams (BMC/SBIOS/OS/drivers) to resolve critical firmware and software issues for AI workloads at scale.

Skills

CUDA

Slurm

C/C++

Python

Bash

Systems architecture

Linux

Docker

HPC/DL research experience

teamwork & communication

Education

BS in Engineering, Mathematics, Physics, or Computer Science

MS or PhD desirable

Tools

Docker

Slurm

CUDA

Job description

NVIDIA is seeking a dedicated Senior Systems Software Engineer focused on GPU Performance at Scale. You will lead the implementation of performance practices in large-scale GPU infrastructure, aligning AI workloads with future datacenter builds and partnering with HW/FW/SW teams to innovate.

You will decompose complex performance issues, develop tools and workflows, and drive continuous insights into AI workloads while collaborating with researchers, developers, and customers to maximize scale