Senior Systems Software Engineer – GPU Performance

NVIDIA

Senior Systems Software Engineer at NVIDIA driving GPU performance innovations for AI workloads. Lead implementations for large-scale GPU infrastructure and performance practices.

Posted 4/22/2026full-timeRemote • California, North Carolina, Texas • 🇺🇸 United StatesSenior💰 $184,000 - $356,500 per yearWebsite

Tech Stack

Tools & technologies

CloudDockerLinuxPythonSwift

About the role

Key responsibilities & impact

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.
Engage early with HW/FW/SW/platform internal and customer teams.
Develop engineering solutions that provide continuous insights into the performance of AI workloads in evolving environments, generating swift insights into improvements and regressions.
Decompose high-complexity performance or stability issues into minimal reproduction cases, working towards identifying the root cause.
Participate in collaborations with various SW and FW teams (BMC/SBIOS/OS/drivers, etc.) to develop outstanding methods and tools.
Analyze, debug, and resolve critical firmware and software issues to achieve the highest AI workload performance at scale.

Requirements

What you’ll need

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.

Benefits

Comp & perks

equity
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Hard Skills & Tools

CUDACC++PythonBashSlurmDockerLinuxsystems architecturehigh-performance computing

Soft Skills

teamworkcommunicationanalytical abilitiesresults-focused

Certifications

BS in EngineeringBS in MathematicsBS in PhysicsBS in Computer ScienceMSPhD