Senior GPU Systems Engineer: Scale AI Performance

NVIDIA AI; Santa Clara (CA); On-site; USD 184,000 - 356,500; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Senior Systems Software Engineer focused on GPU performance at scale. You will contribute to world-class computing hardware and software, delivering insights into large-scale AI workloads and collaborating with HW/FW/SW teams to optimize performance.

You will lead performance practices for NVIDIA datacenter platforms, align workloads with next-gen hardware, and decompose issues to root causes.

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.

Responsibilities

• Lead the implementation of performance practices in large-scale GPU infrastructure, delivering powerful tools, methodologies, and flows to validate and improve multiple datacenter products concurrently.
• Align next-generation AI workloads with next-generation datacenter builds for NVIDIA GPUs, CPUs, and networking hardware.
• Develop engineering solutions that provide continuous insights into the performance of AI workloads in evolving environments.

Skills

CUDA

Slurm

C/C++/Python/Bash

Linux

Teamwork

Communication

Education

BS in Engineering/CS/Math/Physics

MS or PhD desirable

Tools

Docker

Job description

NVIDIA is seeking a Senior Systems Software Engineer focused on GPU performance at scale. You will contribute to world-class computing hardware and software, delivering insights into large-scale AI workloads and collaborating with HW/FW/SW teams to optimize performance.

You will lead performance practices for NVIDIA datacenter platforms, align workloads with next-gen hardware, and decompose issues to root causes.